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Head of Residual Strategy
Eevd Fa Us6 Oraclecloud Com CX 1 · Lawrenceville, GA, United States; Lawrenceville GA 1745 North Brown Road, Lawrenceville, GA, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eevd Fa Us6 Oraclecloud Com CX 1 |
| Title | Head of Residual Strategy |
| Normalized title | - |
| Department / team | Commercial Product Development |
| Location | Lawrenceville, GA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-21 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
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| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eevd Fa Us6 Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lawrenceville. | Open |
| Department jobs | Active postings in Commercial Product Development. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eevd Fa Us6 Oraclecloud Com CX 1 |
| Source | fb64599c-7819-494b-9479-01bf612228d5 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Due to continued growth, and the successful introduction and adoption of Black Book’s industry-leading data and analytics products and services, Black Book, one of the most recognized brands in the automotive and automotive finance industries, is expanding its Senior Management Team with the addition of a new executive leadership role. This strategic investment reflects the company’s commitment to accelerating future growth, driving innovation, and further strengthening its position as a trusted leader across the automotive ecosystem. As Black Book continues to invest significantly in technology, data intelligence, and market expansion initiatives, this new role will play a critical part in helping shape and execute the company’s long-term business strategy.
Position Summary
Based in our suburban Atlanta corporate office and reporting to the President, the Head of Residual Strategy will lead our residual value modeling and predictive valuation capability across the U.S. and Canada.
This is a high-impact leadership role responsible for one of the core economic engines of the business—residual value forecasting and analytics. You will own the strategy, modeling direction, and performance of residual outputs, ensuring they are accurate, stable, explainable, and trusted by the market.
Operating at the intersection of data science, domain expertise, and product, this role translates complex modeling capabilities into customer value, product innovation, and revenue growth while serving as a key external voice for Black Book, representing our residual strategy and market perspective with clients, partners, and industry stakeholders while helping strengthen Black Book’s position as a trusted authority in residual value forecasting and risk analytics.
Responsibilities
Residual Strategy & Forecasting
Own residual value forecasts across new and used vehicles Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions Ensure outputs are accurate, stable, explainable, defensible, and aligned to customer and market needs Support use cases across captives, lenders, ABS/securitization, insurance, and fleet analytics Expand residual capabilities and enable new analytics opportunities
Modeling Leadership
Define modeling objectives and success criteria around accuracy, stability, and explainability Partner with Data Science to guide development approaches, feature design, and target definitions Ensure models adhere to established QA, validation, and documentation standards Establish scalable lifecycle processes across development, validation, release, monitoring, and iteration Manage exception handling, volatility controls, and release readiness Ensure strong documentation, terminology consistency, and knowledge transfer
Customer & Industry Leadership
Serve as a trusted advisor to captives, lenders, institutional investors, fleet organizations, and insurance carriers Lead resolution of customer escalations and methodology challenges Support strategic sales conversations, portfolio analysis, and risk-related engagements Clearly communicate model behavior, market shifts, and residual trends
Product & Commercial Collaboration
Partner with Product to translate residual capabilities into customer-facing solutions Influence roadmap prioritization and monetizable analytics opportunities Support go-to-market efforts through messaging, use case development, and deal support Drive scalable product innovation and revenue-generating opportunities
Thought Leadership
Define Black Book’s perspective on residual risk, market volatility, and portfolio performance Lead and contribute to market outlooks, residual value reports, and conference presentations Strengthen Black Book’s position as a trusted authority in residual analytics and forecasting
Cross-Functional Leadership
Lead a dedicated Residual Data Science team and Residual Analyst function Partner across Data Science, Product, Data & Market Intelligence, BI, Sales, and Marketing Drive alignment across teams to ensure clear ownership, efficient execution, and consistent outputs
What Success Looks Like
Residual outputs meet defined accuracy, stability, and explainability targets Customers trust Black Book to support portfolio risk and strategic planning decisions Residual analytics drive scalable product innovation and new revenue opportunities Black Book strengthens its reputation as a leader in residual value forecasting
Qualifications
Experience
15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer science. Masters or PhD strongly preferred Deep understanding of leasing economics, residual risk, and ABS/securitization markets Experience with statistical modeling, machine learning approaches, and AI adoption Experience working directly with captives, lenders, and institutional investors
Capabilities
Ability to bridge technical modeling and business strategy Strong understanding of model behavior, limitations, and explainability Ability to communicate complex outputs clearly to technical and business audiences High credibility in customer-facing environments
Nice to Have
Experience building or scaling data products Exposure to API-based delivery and analytics platforms Experience working with production AI/ML systems
What This Role Is Not
Not a pure data science execution role Not a traditional product manager Not an internal-only analytics role
Company Background:
A wholly owned subsidiary of HEARST (one of the nations’ largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries. With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks.
We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility.
To learn more about our products and company history, please visit our website at www.BlackBook.com
Full job record
| Job ID | 6cacae6df1d000220bbe20c713a490c08c52f9f9 |
| Org ID | 3cca761f-3e5d-4ba6-9e9f-8a3149e2a786 |
| Source ID | fb64599c-7819-494b-9479-01bf612228d5 |
| Board ID | fb64599c-7819-494b-9479-01bf612228d5 |
| Provider | oracle_hcm |
| Provider Job Key | 2026779 |
| Title | Head of Residual Strategy |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lawrenceville, GA, United States; Lawrenceville GA 1745 North Brown Road, Lawrenceville, GA, US |
| Department | Commercial Product Development |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | GA |
| City | Lawrenceville |
| Salary Raw | Description Due to continued growth, and the successful introduction and adoption of Black Book’s industry-leading data and analytics products and services, Black Book, one of the most recognized brands in the automotive and automotive finance industries, is expanding its Senior Management Team with the addition of a new executive leadership role. This strategic investment reflects the company’s commitment to accelerating future growth, driving innovation, and further strengthening its position as a trusted leader across the automotive ecosystem. As Black Book continues to invest significantly in technology, data intelligence, and market expansion initiatives, this new role will play a critical part in helping shape and execute the company’s long-term business strategy. Position Summary Based in our suburban Atlanta corporate office and reporting to the President, the Head of Residual Strategy will lead our residual value modeling and predictive valuation capability across the U.S. and Canada. This is a high-impact leadership role responsible for one of the core economic engines of the business—residual value forecasting and analytics. You will own the strategy, modeling direction, and performance of residual outputs, ensuring they are accurate, stable, explainable, and trusted by the market. Operating at the intersection of data science, domain expertise, and product, this role translates complex modeling capabilities into customer value, product innovation, and revenue growth while serving as a key external voice for Black Book, representing our residual strategy and market perspective with clients, partners, and industry stakeholders while helping strengthen Black Book’s position as a trusted authority in residual value forecasting and risk analytics. Responsibilities Residual Strategy & Forecasting Own residual value forecasts across new and used vehicles Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions Ensure outputs are accurate, stable, explainable, defensible, and aligned to customer and market needs Support use cases across captives, lenders, ABS/securitization, insurance, and fleet analytics Expand residual capabilities and enable new analytics opportunities Modeling Leadership Define modeling objectives and success criteria around accuracy, stability, and explainability Partner with Data Science to guide development approaches, feature design, and target definitions Ensure models adhere to established QA, validation, and documentation standards Establish scalable lifecycle processes across development, validation, release, monitoring, and iteration Manage exception handling, volatility controls, and release readiness Ensure strong documentation, terminology consistency, and knowledge transfer Customer & Industry Leadership Serve as a trusted advisor to captives, lenders, institutional investors, fleet organizations, and insurance carriers Lead resolution of customer escalations and methodology challenges Support strategic sales conversations, portfolio analysis, and risk-related engagements Clearly communicate model behavior, market shifts, and residual trends Product & Commercial Collaboration Partner with Product to translate residual capabilities into customer-facing solutions Influence roadmap prioritization and monetizable analytics opportunities Support go-to-market efforts through messaging, use case development, and deal support Drive scalable product innovation and revenue-generating opportunities Thought Leadership Define Black Book’s perspective on residual risk, market volatility, and portfolio performance Lead and contribute to market outlooks, residual value reports, and conference presentations Strengthen Black Book’s position as a trusted authority in residual analytics and forecasting Cross-Functional Leadership Lead a dedicated Residual Data Science team and Residual Analyst function Partner across Data Science, Product, Data & Market Intelligence, BI, Sales, and Marketing Drive alignment across teams to ensure clear ownership, efficient execution, and consistent outputs What Success Looks Like Residual outputs meet defined accuracy, stability, and explainability targets Customers trust Black Book to support portfolio risk and strategic planning decisions Residual analytics drive scalable product innovation and new revenue opportunities Black Book strengthens its reputation as a leader in residual value forecasting Qualifications Experience 15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer science. Masters or PhD strongly preferred Deep understanding of leasing economics, residual risk, and ABS/securitization markets Experience with statistical modeling, machine learning approaches, and AI adoption Experience working directly with captives, lenders, and institutional investors Capabilities Ability to bridge technical modeling and business strategy Strong understanding of model behavior, limitations, and explainability Ability to communicate complex outputs clearly to technical and business audiences High credibility in customer-facing environments Nice to Have Experience building or scaling data products Exposure to API-based delivery and analytics platforms Experience working with production AI/ML systems What This Role Is Not Not a pure data science execution role Not a traditional product manager Not an internal-only analytics role Company Background: A wholly owned subsidiary of HEARST (one of the nations’ largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries. With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks. We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility. To learn more about our products and company history, please visit our website at www.BlackBook.com |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eevd.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2026779 |
| Apply URL | https://eevd.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2026779 |
| First Seen At | 2026-05-31 18:16:01Z |
| Last Seen At | 2026-06-06 11:52:41Z |
| Last Checked At | 2026-06-06 11:52:41Z |
| Last Changed At | 2026-06-06 11:52:41Z |
| Inactive At | — |
| Source Posted At | 2026-05-21 13:25:22Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eevd.fa.us6.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T11-52-11-554Z-9ee152ec92dc94d854a7453cdb9e560b272eac23cec0af1c90467371cb6af115.json |
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"ExternalQualificationsStr": "<p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Experience</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains</span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer science. Masters or PhD strongly preferred </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Deep understanding of leasing economics, residual risk, and ABS/securitization markets </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience with statistical modeling, machine learning approaches, and AI adoption </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience working directly with captives, lenders, and institutional investors </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Capabilities</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ability to bridge technical modeling and business strategy </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Strong understanding of model behavior, limitations, and explainability </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ability to communicate complex outputs clearly to technical and business audiences </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">High credibility in customer-facing environments </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Nice to Have</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience building or scaling data products </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Exposure to API-based delivery and analytics platforms </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience working with production AI/ML systems </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>What This Role Is Not</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not a pure data science execution role </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not a traditional product manager </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not an internal-only analytics role</span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Company Background:</strong></span></span></p><p class=\"Header1\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span class=\"headerchar\" style=\"font-size: 11pt;\">A wholly owned subsidiary of HEARST (one of the nations’ largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries. With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks.</span></span></p><p class=\"Header1\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt;\">We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility.</span></span></p><p class=\"Header1\" style=\"margin-top: 12pt;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span class=\"headerchar\" style=\"font-size: 11pt;\">To learn more about our products and company history, please visit our website at </span></span><a href=\"http://www.BlackBook.com\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt;\">www.BlackBook.com</span></span></a></p>",
"InternalQualificationsStr": "<p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Experience</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">15+ years in auto finance, residual modeling, forecasting, and/or related analytics domains</span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer science. Masters or PhD strongly preferred </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Deep understanding of leasing economics, residual risk, and ABS/securitization markets </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience with statistical modeling, machine learning approaches, and AI adoption </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience working directly with captives, lenders, and institutional investors </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Capabilities</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ability to bridge technical modeling and business strategy </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Strong understanding of model behavior, limitations, and explainability </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ability to communicate complex outputs clearly to technical and business audiences </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">High credibility in customer-facing environments </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Nice to Have</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience building or scaling data products </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Exposure to API-based delivery and analytics platforms </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Experience working with production AI/ML systems </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>What This Role Is Not</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not a pure data science execution role </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not a traditional product manager </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Not an internal-only analytics role</span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Company Background:</strong></span></span></p><p class=\"Header1\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span class=\"headerchar\" style=\"font-size: 11pt;\">A wholly owned subsidiary of HEARST (one of the nations’ largest diversified media companies), and part of the HEARST Transportation Division, Black Book is one of the most recognizable brands in the industry and is a leading provider of vehicle pricing and automotive data and analytics to the automotive and finance industries. With a focus on innovative solutions, world class data and analytics and a goal of delivering our customers the most precise data to help them reduce risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly basis in various electronic formats which include, but are not limited to: data feeds; web-services; Internet-based applications; smart phone resident applications; online trade appraisal service software; traditionally printed guidebooks.</span></span></p><p class=\"Header1\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt;\">We are guided by our core values of Own It, Continuously Improve, Be Agile and Celebrate Success, while focusing on our unique offerings that include our Data, our Approach, and our Flexibility.</span></span></p><p class=\"Header1\" style=\"margin-top: 12pt;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span class=\"headerchar\" style=\"font-size: 11pt;\">To learn more about our products and company history, please visit our website at </span></span><a href=\"http://www.BlackBook.com\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt;\">www.BlackBook.com</span></span></a></p>",
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"ExternalResponsibilitiesStr": "<p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Residual Strategy & Forecasting</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Own residual value forecasts across new and used vehicles </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure outputs are accurate, stable, explainable, defensible, and aligned to customer and market needs </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support use cases across captives, lenders, ABS/securitization, insurance, and fleet analytics </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Expand residual capabilities and enable new analytics opportunities </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Modeling Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define modeling objectives and success criteria around accuracy, stability, and explainability </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner with Data Science to guide development approaches, feature design, and target definitions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure models adhere to established QA, validation, and documentation standards </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Establish scalable lifecycle processes across development, validation, release, monitoring, and iteration </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Manage exception handling, volatility controls, and release readiness </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure strong documentation, terminology consistency, and knowledge transfer </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Customer & Industry Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Serve as a trusted advisor to captives, lenders, institutional investors, fleet organizations, and insurance carriers </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead resolution of customer escalations and methodology challenges </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support strategic sales conversations, portfolio analysis, and risk-related engagements </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Clearly communicate model behavior, market shifts, and residual trends </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Product & Commercial Collaboration</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner with Product to translate residual capabilities into customer-facing solutions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Influence roadmap prioritization and monetizable analytics opportunities </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support go-to-market efforts through messaging, use case development, and deal support </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Drive scalable product innovation and revenue-generating opportunities </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Thought Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define Black Book’s perspective on residual risk, market volatility, and portfolio performance </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead and contribute to market outlooks, residual value reports, and conference presentations </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Strengthen Black Book’s position as a trusted authority in residual analytics and forecasting </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Cross-Functional Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead a dedicated Residual Data Science team and Residual Analyst function </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner across Data Science, Product, Data & Market Intelligence, BI, Sales, and Marketing </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Drive alignment across teams to ensure clear ownership, efficient execution, and consistent outputs </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>What Success Looks Like</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Residual outputs meet defined accuracy, stability, and explainability targets </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Customers trust Black Book to support portfolio risk and strategic planning decisions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Residual analytics drive scalable product innovation and new revenue opportunities </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Black Book strengthens its reputation as a leader in residual value forecasting </span></span></li></ul>",
"InternalResponsibilitiesStr": "<p><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Residual Strategy & Forecasting</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Own residual value forecasts across new and used vehicles </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define and evolve modeling approaches including mileage, trims, volatility, segmentation, and model-year transitions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure outputs are accurate, stable, explainable, defensible, and aligned to customer and market needs </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support use cases across captives, lenders, ABS/securitization, insurance, and fleet analytics </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Expand residual capabilities and enable new analytics opportunities </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Modeling Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define modeling objectives and success criteria around accuracy, stability, and explainability </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner with Data Science to guide development approaches, feature design, and target definitions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure models adhere to established QA, validation, and documentation standards </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Establish scalable lifecycle processes across development, validation, release, monitoring, and iteration </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Manage exception handling, volatility controls, and release readiness </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Ensure strong documentation, terminology consistency, and knowledge transfer </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Customer & Industry Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Serve as a trusted advisor to captives, lenders, institutional investors, fleet organizations, and insurance carriers </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead resolution of customer escalations and methodology challenges </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support strategic sales conversations, portfolio analysis, and risk-related engagements </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Clearly communicate model behavior, market shifts, and residual trends </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Product & Commercial Collaboration</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner with Product to translate residual capabilities into customer-facing solutions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Influence roadmap prioritization and monetizable analytics opportunities </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Support go-to-market efforts through messaging, use case development, and deal support </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Drive scalable product innovation and revenue-generating opportunities </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Thought Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Define Black Book’s perspective on residual risk, market volatility, and portfolio performance </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead and contribute to market outlooks, residual value reports, and conference presentations </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Strengthen Black Book’s position as a trusted authority in residual analytics and forecasting </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>Cross-Functional Leadership</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Lead a dedicated Residual Data Science team and Residual Analyst function </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Partner across Data Science, Product, Data & Market Intelligence, BI, Sales, and Marketing </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Drive alignment across teams to ensure clear ownership, efficient execution, and consistent outputs </span></span></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\"><strong>What Success Looks Like</strong></span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Residual outputs meet defined accuracy, stability, and explainability targets </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Customers trust Black Book to support portfolio risk and strategic planning decisions </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Residual analytics drive scalable product innovation and new revenue opportunities </span></span></li><li style=\"margin-bottom: 0in; margin-top: 0in;\"><span style=\"font-family: "Microsoft Sans Serif", sans-serif;\"><span style=\"font-size: 11pt; line-height: 115%;\">Black Book strengthens its reputation as a leader in residual value forecasting </span></span></li></ul>",
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