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HomeCompaniesEfds Fa Em5 Oraclecloud Com CX 1Enterprise Data Platform Product Manager

Enterprise Data Platform Product Manager

Efds Fa Em5 Oraclecloud Com CX 1 · GTBC Office Building 02, Chennai, TN, IN · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEfds Fa Em5 Oraclecloud Com CX 1
TitleEnterprise Data Platform Product Manager
Normalized title-
Department / teamGlobal Data Insight & Analytics
LocationChennai, TN, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-22 / 2026-06-22
Changed / last seen2026-06-22 / 2026-06-22

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Linked records

CompanyEfds Fa Em5 Oraclecloud Com CX 1
Sourced8110a61-5510-417b-a74c-f58816339c6b
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description You will drive robust ingestion capabilities for structured data (Oracle, SQL Server, PostgreSQL, DB2) and unstructured data (Video, Audio, PDF, PPT). You will also act as the product leader for the EDP Console , an amalgamation of our data products (Data Catalog, Lightspeed, Semantic Layer Hub, Ask EDP, Cost Optimization, and more) into a single pane of glass. Crucially, you will leverage our unstructured ingestion capabilities to build and scale the Vision Intelligence Platform . By unifying fragmented vision systems and developing advanced models, you will tackle critical business challenges—specifically automating manual processes to identify recall populations, enabling faster diagnosis, and proactively addressing the growing volume of Recalls and Field Service Actions (FSAs). As a torchbearer for modern product management, you will also champion AI-driven PM practices across your organization, upskilling your team to leverage Generative AI and advanced tools to accelerate product discovery, delivery, and user feedback analysis. Responsibilities What You’ll Do Lead with Modern, AI-Driven Product Management • Act as the torchbearer for your team by embedding AI into daily product management workflows (e.g., utilizing LLMs to accelerate the creation of PRDs, user stories, and market research). • Leverage AI-powered analytics, sentiment analysis, and telemetry to anticipate user needs, automate feedback loops, and prioritize the platform roadmap. • Mentor, coach, and upskill a team of product managers, fostering a culture of rapid prototyping, AI-assisted decision-making, and continuous learning. Lead the Vision Intelligence Platform • Define the product strategy and model development for the Vision Intelligence Platform, seizing the opportunity to unify fragmented vision systems across manufacturing and engineering. • Develop AI/ML-driven data products to replace manual, inefficient processes used for identifying recall and Field Service Action (FSA) populations. • Deploy models that enable faster diagnosis, automated quality checks, and real-time anomaly detection to proactively mitigate the growing volume of Recalls and FSAs. Build and Scale Homegrown Data Ingestion • Structured Data: Lead the development of scalable ingestion capabilities connecting to enterprise relational databases, including Oracle, SQL Server, PostgreSQL, and DB2. • Unstructured Data: Pioneer ingestion pathways for diverse formats—such as Video, Audio, PDFs, and Presentations (PPT)—serving as the foundational data pipeline for the Vision Intelligence Platform and other LLM applications. • Partner with engineering to ensure ingestion pipelines are highly performant, secure, and compliant with enterprise governance standards. Develop the EDP Console (The Unified Gateway) • Architect the amalgamation of Ford's data products into a single, intuitive EDP Console, acting as the "CEO of the product" for this unified portal. • Integrate core capabilities including Data Catalog, Metadata Management, and Data Quality to ensure users can easily discover and trust their data. • Embed advanced platform features like Lightspeed , Semantic Layer Hub , and Ask EDP to accelerate data access, contextual understanding, and self-service analytics. • Develop comprehensive Platform Analytics dashboards within the console to track user adoption, feature relevancy, and system health. • Drive FinOps and Cost Optimization features directly into the console, giving teams visibility and control over their compute and storage footprints. Drive Operational Excellence and Innovation • Ensure seamless integration between the ingestion layer, vision models, and downstream analytics and governance protocols. • Implement best practices for data lifecycle management, ensuring Ford’s diverse data assets are standardized and immediately usable. • Partner with Data Governance, Risk, and Compliance teams to ensure all ingested data adheres to industry standards and global privacy regulations (e.g., GDPR, DPDPA, CCPA). Qualifications What We’re Looking For • 8+ years of experience in data product management, platform engineering, or enterprise data architecture, with a proven track record of managing direct reports. • Modern PM & AI Skills: Demonstrated experience using AI-powered product management tools (e.g., Generative AI for drafting PRDs, AI-driven backlog grooming, automated user feedback analysis) and a passion for upskilling teams in these technologies. • Proven track record of managing Data Ingestion platforms, unified developer/data consoles, or AI/ML model deployment. • Experience with Computer Vision use cases, anomaly detection models, or manufacturing/quality systems is highly preferred. • Deep understanding of structured databases (Oracle, SQL Server, PostgreSQL, DB2) and experience building pipelines for unstructured data (Video, Audio, PDF, Document processing). • Experience integrating diverse data products (Data Catalogs, Semantic Layers, Data Quality tools) into a unified user interface. • Strong knowledge of FinOps, cloud cost optimization, and platform analytics (measuring adoption, usage, and relevancy). • Exceptional stakeholder management and communication skills, with the ability to align business, engineering, and quality/governance teams.

Full job record

Job IDda74899dfa46270761e714c7a3569a56e13859d5
Org IDfc791186-3bfa-4e9d-8648-0d2f6f66937d
Source IDd8110a61-5510-417b-a74c-f58816339c6b
Board IDd8110a61-5510-417b-a74c-f58816339c6b
Provideroracle_hcm
Provider Job Key65560
TitleEnterprise Data Platform Product Manager
Normalized Title
Statusactive
Activeyes
Location TextGTBC Office Building 02, Chennai, TN, IN
DepartmentGlobal Data Insight & Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTN
CityChennai
Salary RawDescription You will drive robust ingestion capabilities for structured data (Oracle, SQL Server, PostgreSQL, DB2) and unstructured data (Video, Audio, PDF, PPT). You will also act as the product leader for the EDP Console , an amalgamation of our data products (Data Catalog, Lightspeed, Semantic Layer Hub, Ask EDP, Cost Optimization, and more) into a single pane of glass. Crucially, you will leverage our unstructured ingestion capabilities to build and scale the Vision Intelligence Platform . By unifying fragmented vision systems and developing advanced models, you will tackle critical business challenges—specifically automating manual processes to identify recall populations, enabling faster diagnosis, and proactively addressing the growing volume of Recalls and Field Service Actions (FSAs). As a torchbearer for modern product management, you will also champion AI-driven PM practices across your organization, upskilling your team to leverage Generative AI and advanced tools to accelerate product discovery, delivery, and user feedback analysis. Responsibilities What You’ll Do Lead with Modern, AI-Driven Product Management • Act as the torchbearer for your team by embedding AI into daily product management workflows (e.g., utilizing LLMs to accelerate the creation of PRDs, user stories, and market research). • Leverage AI-powered analytics, sentiment analysis, and telemetry to anticipate user needs, automate feedback loops, and prioritize the platform roadmap. • Mentor, coach, and upskill a team of product managers, fostering a culture of rapid prototyping, AI-assisted decision-making, and continuous learning. Lead the Vision Intelligence Platform • Define the product strategy and model development for the Vision Intelligence Platform, seizing the opportunity to unify fragmented vision systems across manufacturing and engineering. • Develop AI/ML-driven data products to replace manual, inefficient processes used for identifying recall and Field Service Action (FSA) populations. • Deploy models that enable faster diagnosis, automated quality checks, and real-time anomaly detection to proactively mitigate the growing volume of Recalls and FSAs. Build and Scale Homegrown Data Ingestion • Structured Data: Lead the development of scalable ingestion capabilities connecting to enterprise relational databases, including Oracle, SQL Server, PostgreSQL, and DB2. • Unstructured Data: Pioneer ingestion pathways for diverse formats—such as Video, Audio, PDFs, and Presentations (PPT)—serving as the foundational data pipeline for the Vision Intelligence Platform and other LLM applications. • Partner with engineering to ensure ingestion pipelines are highly performant, secure, and compliant with enterprise governance standards. Develop the EDP Console (The Unified Gateway) • Architect the amalgamation of Ford's data products into a single, intuitive EDP Console, acting as the "CEO of the product" for this unified portal. • Integrate core capabilities including Data Catalog, Metadata Management, and Data Quality to ensure users can easily discover and trust their data. • Embed advanced platform features like Lightspeed , Semantic Layer Hub , and Ask EDP to accelerate data access, contextual understanding, and self-service analytics. • Develop comprehensive Platform Analytics dashboards within the console to track user adoption, feature relevancy, and system health. • Drive FinOps and Cost Optimization features directly into the console, giving teams visibility and control over their compute and storage footprints. Drive Operational Excellence and Innovation • Ensure seamless integration between the ingestion layer, vision models, and downstream analytics and governance protocols. • Implement best practices for data lifecycle management, ensuring Ford’s diverse data assets are standardized and immediately usable. • Partner with Data Governance, Risk, and Compliance teams to ensure all ingested data adheres to industry standards and global privacy regulations (e.g., GDPR, DPDPA, CCPA). Qualifications What We’re Looking For • 8+ years of experience in data product management, platform engineering, or enterprise data architecture, with a proven track record of managing direct reports. • Modern PM & AI Skills: Demonstrated experience using AI-powered product management tools (e.g., Generative AI for drafting PRDs, AI-driven backlog grooming, automated user feedback analysis) and a passion for upskilling teams in these technologies. • Proven track record of managing Data Ingestion platforms, unified developer/data consoles, or AI/ML model deployment. • Experience with Computer Vision use cases, anomaly detection models, or manufacturing/quality systems is highly preferred. • Deep understanding of structured databases (Oracle, SQL Server, PostgreSQL, DB2) and experience building pipelines for unstructured data (Video, Audio, PDF, Document processing). • Experience integrating diverse data products (Data Catalogs, Semantic Layers, Data Quality tools) into a unified user interface. • Strong knowledge of FinOps, cloud cost optimization, and platform analytics (measuring adoption, usage, and relevancy). • Exceptional stakeholder management and communication skills, with the ability to align business, engineering, and quality/governance teams.
Salary Min
Salary Max
Salary Currency
Salary Periodday
Source URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65560
Apply URLhttps://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65560
First Seen At2026-06-22 15:13:30Z
Last Seen At2026-06-22 15:13:30Z
Last Checked At2026-06-22 15:13:30Z
Last Changed At2026-06-22 15:13:30Z
Inactive At
Source Posted At2026-06-22 10:02:07Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=efds.fa.em5.oraclecloud.com|CX_1/date=2026-06-22/2026-06-22T15-12-07-505Z-fb3c57bc435c7742642ab6cc7b955e4c447b2e3360433c2382ef3fca17c9b32c.json
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font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Lead the Vision Intelligence Platform</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Define the product strategy and model development for the Vision Intelligence Platform, seizing the opportunity to unify fragmented vision systems across manufacturing and engineering.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Develop AI/ML-driven data products to replace manual, inefficient processes used for identifying recall and Field Service Action (FSA) populations.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Deploy models that enable faster diagnosis, automated quality checks, and real-time anomaly detection to proactively mitigate the growing volume of Recalls and FSAs.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Build and Scale Homegrown Data Ingestion</strong></span></span></p><p><span style=\"font-family: Calibri, sans-serif;\">• <strong>Structured Data:</strong> Lead the development of scalable ingestion capabilities connecting to enterprise relational databases, including Oracle, SQL Server, PostgreSQL, and DB2.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• <strong>Unstructured Data:</strong> Pioneer ingestion pathways for diverse formats—such as Video, Audio, PDFs, and Presentations (PPT)—serving as the foundational data pipeline for the Vision Intelligence Platform and other LLM applications.</span></p><p><span style=\"font-family: Calibri, sans-serif;\"><span>&nbsp;</span>• Partner with engineering to ensure ingestion pipelines are highly performant, secure, and compliant with enterprise governance standards.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Develop the EDP Console (The Unified Gateway)</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>•</strong></span></span><span style=\"font-family: Calibri, sans-serif;\"> Architect the amalgamation of Ford's data products into a single, intuitive EDP Console, acting as the \"CEO of the product\" for this unified portal.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Integrate core capabilities including Data Catalog, Metadata Management, and Data Quality to ensure users can easily discover and trust their data.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Embed advanced platform features like <strong>Lightspeed</strong>, <strong>Semantic Layer Hub</strong>, and <strong>Ask EDP</strong> to accelerate data access, contextual understanding, and self-service analytics.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Develop comprehensive Platform Analytics dashboards within the console to track user adoption, feature relevancy, and system health.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Drive FinOps and Cost Optimization features directly into the console, giving teams visibility and control over their compute and storage footprints.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Drive Operational Excellence and Innovation</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>•</strong></span></span><span style=\"font-family: Calibri, sans-serif;\"> Ensure seamless integration between the ingestion layer, vision models, and downstream analytics and governance protocols.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Implement best practices for data lifecycle management, ensuring Ford’s diverse data assets are standardized and immediately usable.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Partner with Data Governance, Risk, and Compliance teams to ensure all ingested data adheres to industry standards and global privacy regulations (e.g., GDPR, DPDPA, CCPA).</span></p>",
    "InternalResponsibilitiesStr": "<h2><span style=\"font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-weight: normal;\"><strong>What You’ll Do</strong></span></span></h2><h3><span style=\"font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-weight: normal;\"><strong>Lead with Modern, AI-Driven Product Management</strong></span><span lang=\"EN-US\"><strong>&nbsp;</strong></span></span></h3><p><span style=\"font-family: Calibri, sans-serif;\">• Act as the torchbearer for your team by embedding AI into daily product management workflows (e.g., utilizing LLMs to accelerate the creation of PRDs, user stories, and market research).&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Leverage AI-powered analytics, sentiment analysis, and telemetry to anticipate user needs, automate feedback loops, and prioritize the platform roadmap.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Mentor, coach, and upskill a team of product managers, fostering a culture of rapid prototyping, AI-assisted decision-making, and continuous learning.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Lead the Vision Intelligence Platform</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Define the product strategy and model development for the Vision Intelligence Platform, seizing the opportunity to unify fragmented vision systems across manufacturing and engineering.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Develop AI/ML-driven data products to replace manual, inefficient processes used for identifying recall and Field Service Action (FSA) populations.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Deploy models that enable faster diagnosis, automated quality checks, and real-time anomaly detection to proactively mitigate the growing volume of Recalls and FSAs.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Build and Scale Homegrown Data Ingestion</strong></span></span></p><p><span style=\"font-family: Calibri, sans-serif;\">• <strong>Structured Data:</strong> Lead the development of scalable ingestion capabilities connecting to enterprise relational databases, including Oracle, SQL Server, PostgreSQL, and DB2.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• <strong>Unstructured Data:</strong> Pioneer ingestion pathways for diverse formats—such as Video, Audio, PDFs, and Presentations (PPT)—serving as the foundational data pipeline for the Vision Intelligence Platform and other LLM applications.</span></p><p><span style=\"font-family: Calibri, sans-serif;\"><span>&nbsp;</span>• Partner with engineering to ensure ingestion pipelines are highly performant, secure, and compliant with enterprise governance standards.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Develop the EDP Console (The Unified Gateway)</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>•</strong></span></span><span style=\"font-family: Calibri, sans-serif;\"> Architect the amalgamation of Ford's data products into a single, intuitive EDP Console, acting as the \"CEO of the product\" for this unified portal.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Integrate core capabilities including Data Catalog, Metadata Management, and Data Quality to ensure users can easily discover and trust their data.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Embed advanced platform features like <strong>Lightspeed</strong>, <strong>Semantic Layer Hub</strong>, and <strong>Ask EDP</strong> to accelerate data access, contextual understanding, and self-service analytics.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Develop comprehensive Platform Analytics dashboards within the console to track user adoption, feature relevancy, and system health.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Drive FinOps and Cost Optimization features directly into the console, giving teams visibility and control over their compute and storage footprints.</span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt; font-weight: normal;\"><strong>Drive Operational Excellence and Innovation</strong></span><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>&nbsp;</strong></span></span></p><p><span style=\"color: rgb(15, 71, 97); font-family: Calibri, sans-serif;\"><span lang=\"EN-US\" style=\"font-size: 14pt;\"><strong>•</strong></span></span><span style=\"font-family: Calibri, sans-serif;\"> Ensure seamless integration between the ingestion layer, vision models, and downstream analytics and governance protocols.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Implement best practices for data lifecycle management, ensuring Ford’s diverse data assets are standardized and immediately usable.&nbsp;</span></p><p><span style=\"font-family: Calibri, sans-serif;\">• Partner with Data Governance, Risk, and Compliance teams to ensure all ingested data adheres to industry standards and global privacy regulations (e.g., GDPR, DPDPA, CCPA).</span></p>",
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