Home › Companies › Eofe Fa Us2 Oraclecloud Com CX 3001 › Director, Business Intelligence & Data Management Manager
Director, Business Intelligence & Data Management Manager
Eofe Fa Us2 Oraclecloud Com CX 3001 · Prestige Alphatech,Pune,IN, Pune, MH, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eofe Fa Us2 Oraclecloud Com CX 3001 |
| Title | Director, Business Intelligence & Data Management Manager |
| Normalized title | - |
| Department / team | Data Management & Quantitative Analysis |
| Location | Pune, IN, United States |
| Work model | - |
| 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 | 2026-05-31 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eofe Fa Us2 Oraclecloud Com CX 3001. | 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 Pune. | Open |
| Department jobs | Active postings in Data Management & Quantitative Analysis. | 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 | Eofe Fa Us2 Oraclecloud Com CX 3001 |
| Source | bf2e8175-cd81-4923-b14c-80b51851d21d |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Director, Business Intelligence & Data Management Manager — Markets Engineering
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Director, Business Intelligence & Data Management Manager — Markets Engineering, to join our Markets team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
This role will drive the technical build-out of a scalable, enterprise-grade data platform that unlocks advanced analytics, reporting, data mining, machine learning, and Generative AI capabilities across the Execution Services application ecosystem. The successful candidate will build smarter — not just faster — by automating routine tasks while driving architectural and strategic advancements. Lead technical contributions to the design, development, and delivery of the Execution Services Data Platform on Enterprise Snowflake. Architect and implement scalable data pipelines and data models using Snowflake, Airflow, DBT, and Python within an Enterprise Data Mesh framework. Enhance data accessibility by providing business users with both programmatic and ad-hoc access to comprehensive data, enabling advanced analytics, reporting, data mining, ML, and Generative AI capabilities. Eliminate data silos by integrating disparate data sources across the Execution Services application ecosystem into a unified, governed platform. Drive cost optimization by removing redundant data copies and reducing infrastructure and maintenance overhead. Adopt and enforce enterprise standards for managing "ADS" data in Snowflake through EDS/EDP federation. Apply AI technologies to automate routine data engineering tasks, improve data quality, and accelerate platform delivery. Collaborate cross-functionally with business stakeholders, data consumers, and enterprise platform teams to align platform capabilities with strategic data commercialization goals. Mentor and guide junior engineers, fostering a culture of engineering excellence and continuous innovation. Design for scale — implement solutions that rapidly scale to meet increasing data volume and user demand.
To be successful in this role, we’re seeking the following:
Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). Experience: 7+ years of hands-on data engineering experience, with a proven track record of building and managing enterprise-scale data platforms. Snowflake: Demonstrated expertise in designing and optimizing data solutions on the Snowflake platform. Airflow: Proficiency in building, scheduling, and monitoring complex data pipelines using Apache Airflow. DBT (Data Build Tool): Strong experience with DBT for data transformation, testing, and documentation within a modern data stack. Python: Advanced proficiency in Python for data engineering, automation, and tooling. Data Architecture: Solid understanding of Data Mesh, data federation, and enterprise data governance patterns. AI/ML Awareness: Working knowledge of AI technologies and their practical applications in data engineering and analytics workflows.
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
Organization
At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
Company
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
Full job record
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| Org ID | 937ddbf5-080a-431b-b8cb-8fb58c3af8c6 |
| Source ID | bf2e8175-cd81-4923-b14c-80b51851d21d |
| Board ID | bf2e8175-cd81-4923-b14c-80b51851d21d |
| Provider | oracle_hcm |
| Provider Job Key | 77710 |
| Title | Director, Business Intelligence & Data Management Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Prestige Alphatech,Pune,IN, Pune, MH, IN |
| Department | Data Management & Quantitative Analysis |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | Pune |
| Salary Raw | Description Director, Business Intelligence & Data Management Manager — Markets Engineering At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Director, Business Intelligence & Data Management Manager — Markets Engineering, to join our Markets team. This role is located in Pune. In this role, you’ll make an impact in the following ways: This role will drive the technical build-out of a scalable, enterprise-grade data platform that unlocks advanced analytics, reporting, data mining, machine learning, and Generative AI capabilities across the Execution Services application ecosystem. The successful candidate will build smarter — not just faster — by automating routine tasks while driving architectural and strategic advancements. Lead technical contributions to the design, development, and delivery of the Execution Services Data Platform on Enterprise Snowflake. Architect and implement scalable data pipelines and data models using Snowflake, Airflow, DBT, and Python within an Enterprise Data Mesh framework. Enhance data accessibility by providing business users with both programmatic and ad-hoc access to comprehensive data, enabling advanced analytics, reporting, data mining, ML, and Generative AI capabilities. Eliminate data silos by integrating disparate data sources across the Execution Services application ecosystem into a unified, governed platform. Drive cost optimization by removing redundant data copies and reducing infrastructure and maintenance overhead. Adopt and enforce enterprise standards for managing "ADS" data in Snowflake through EDS/EDP federation. Apply AI technologies to automate routine data engineering tasks, improve data quality, and accelerate platform delivery. Collaborate cross-functionally with business stakeholders, data consumers, and enterprise platform teams to align platform capabilities with strategic data commercialization goals. Mentor and guide junior engineers, fostering a culture of engineering excellence and continuous innovation. Design for scale — implement solutions that rapidly scale to meet increasing data volume and user demand. To be successful in this role, we’re seeking the following: Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). Experience: 7+ years of hands-on data engineering experience, with a proven track record of building and managing enterprise-scale data platforms. Snowflake: Demonstrated expertise in designing and optimizing data solutions on the Snowflake platform. Airflow: Proficiency in building, scheduling, and monitoring complex data pipelines using Apache Airflow. DBT (Data Build Tool): Strong experience with DBT for data transformation, testing, and documentation within a modern data stack. Python: Advanced proficiency in Python for data engineering, automation, and tooling. Data Architecture: Solid understanding of Data Mesh, data federation, and enterprise data governance patterns. AI/ML Awareness: Working knowledge of AI technologies and their practical applications in data engineering and analytics workflows. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. Organization At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. Company At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/77710 |
| Apply URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3001/job/77710 |
| First Seen At | 2026-05-31 18:11:44Z |
| Last Seen At | 2026-06-04 10:34:17Z |
| Last Checked At | 2026-06-04 10:34:17Z |
| Last Changed At | 2026-05-31 18:11:44Z |
| Inactive At | — |
| Source Posted At | 2026-05-21 06:16:31Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=eofe.fa.us2.oraclecloud.com|CX_3001/date=2026-06-04/2026-06-04T10-32-43-471Z-bbdfb00877e7cb30d9832e27524745654c60ec191287a4ad0eecd713cb54ebde.json |
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"ExternalDescriptionStr": "<p style=\"margin-bottom: 0in;\"><strong>Director, Business Intelligence & Data Management Manager — Markets Engineering</strong></p><p> </p><p><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">At BNY, our culture allows us to run our company better and enables employees’ growth and success. </span><span lang=\"EN-GB\" style=\"font-size: 9pt; line-height: 107%;\">As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. 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Join us and be part of something extraordinary.</span></span></p><p style=\"margin-bottom: 0in;\"><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">We’re seeking a future team member for the role of </span></span><strong>Director, Business Intelligence & Data Management Manager — Markets Engineering, </strong><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">to join our Markets team. This role is located in Pune.</span></span></p><p style=\"margin-bottom: 0in;\"> </p><p><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\"><strong>In this role, you’ll make an impact in the following ways: </strong></span></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">This role will drive the technical build-out of a scalable, enterprise-grade data platform that unlocks advanced analytics, reporting, data mining, machine learning, and Generative AI capabilities across the Execution Services application ecosystem. The successful candidate will build smarter — not just faster — by automating routine tasks while driving architectural and strategic advancements.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Lead technical contributions to the design, development, and delivery of the Execution Services Data Platform on Enterprise Snowflake.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Architect and implement scalable data pipelines and data models using Snowflake, Airflow, DBT, and Python within an Enterprise Data Mesh framework.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Enhance data accessibility by providing business users with both programmatic and ad-hoc access to comprehensive data, enabling advanced analytics, reporting, data mining, ML, and Generative AI capabilities.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Eliminate data silos by integrating disparate data sources across the Execution Services application ecosystem into a unified, governed platform.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Drive cost optimization by removing redundant data copies and reducing infrastructure and maintenance overhead.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Adopt and enforce enterprise standards for managing \"ADS\" data in Snowflake through EDS/EDP federation.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Apply AI technologies to automate routine data engineering tasks, improve data quality, and accelerate platform delivery.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Collaborate cross-functionally with business stakeholders, data consumers, and enterprise platform teams to align platform capabilities with strategic data commercialization goals.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Mentor and guide junior engineers, fostering a culture of engineering excellence and continuous innovation.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Design for scale — implement solutions that rapidly scale to meet increasing data volume and user demand.</span></span></li></ul><p> </p><p><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\"><strong>To be successful in this role, we’re seeking the following: </strong></span></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Experience: 7+ years of hands-on data engineering experience, with a proven track record of building and managing enterprise-scale data platforms.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Snowflake: Demonstrated expertise in designing and optimizing data solutions on the Snowflake platform.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Airflow: Proficiency in building, scheduling, and monitoring complex data pipelines using Apache Airflow.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">DBT (Data Build Tool): Strong experience with DBT for data transformation, testing, and documentation within a modern data stack.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Python: Advanced proficiency in Python for data engineering, automation, and tooling.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">Data Architecture: Solid understanding of Data Mesh, data federation, and enterprise data governance patterns.</span></span></li><li><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">AI/ML Awareness: Working knowledge of AI technologies and their practical applications in data engineering and analytics workflows.</span></span></li></ul><p><br><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">At BNY, our culture speaks for itself, check out the latest BNY news at:</span></span></p><p style=\"margin-bottom: 0in;\"><a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://www.bny.com/corporate/global/en/about-us/newsroom.html\"><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">BNY Newsroom</span></span></a></p><p style=\"margin-bottom: 0in;\"><a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://www.linkedin.com/company/bnyglobal/posts/?feedView=all\"><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\">BNY LinkedIn </span></span></a></p><p style=\"margin-bottom: 0in;\"> </p><p><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt; line-height: 107%;\"> Here’s a few of our recent awards: </span></span></p><ul style=\"list-style-type: disc; padding-left: 48px;\"><li><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;\"><span style=\"color: rgb(34, 34, 34); font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt;\">America’s Most Innovative Companies, Fortune, 2025</span></span></p></li><li><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;\"><span style=\"color: rgb(34, 34, 34); font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt;\">World’s Most Admired Companies, Fortune 2025</span></span></p></li><li><p style=\"background-color: white; line-height: normal; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;\"><span style=\"color: rgb(34, 34, 34); font-family: "Avenir Next LT Pro", sans-serif;\"><span style=\"font-size: 9pt;\">“Most Just Companies”, Just Capital and CNBC, 2025</span></span></p></li></ul><p style=\"background-color: white; line-height: normal; margin-bottom: 0in;\"><br><span style=\"color: rgb(34, 34, 34); font-family: "Avenir Next LT Pro", sans-serif;\"><span lang=\"EN\" style=\"font-size: 9pt;\">Our Benefits and Rewards:</span></span></p><p style=\"margin-bottom: 0in;\"><span style=\"font-family: "Avenir Next LT Pro", sans-serif;\"><span lang=\"EN-GB\" style=\"font-size: 9pt; line-height: 107%;\">BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. </span></span></p><p style=\"margin-bottom: 0in;\"> </p><p style=\"margin-bottom: 0in;\"><span style=\"color: rgb(34, 34, 34); font-family: "Avenir Next LT Pro", sans-serif;\"><span lang=\"EN\" style=\"font-size: 9pt; line-height: 107%;\">BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.</span></span></p><p style=\"margin-bottom: 0in;\"> </p><p> </p>",
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