DescriptionJoin JPMorgan Chases Commercial and Investment Banking to shape the platforms that power client experience controls and data-driven decisions. As a Vice President Product Owner youll lead strategic data products like GBCDS the Data Quality Engine and Data Census to deliver governed insightready data at scale. Partner with global stakeholders to turn business needs into resilient highimpact solutions.
Job Summary
As a Vice President within Commercial and Investment Banking Controls and Product Experience you will lead the Global Banking Data Hubs flagship data productsGBCDS the Data Quality Engine and Data Censusto deliver reliable controlled and actionable data. You will define product vision prioritize backlogs and drive endtoend execution across globally distributed technology and operations teams. You will translate business strategy into scalable solutions that improve data quality streamline processes and enhance client and stakeholder outcomes.
Job Responsibilities
- Lead GBCDS Data Quality Engine and Data Census product roadmaps end to end.
- Define product vision success metrics and outcomeoriented OKRs.
- Prioritize and groom backlogs; refine epics and stories for clarity and value.
- Partner closely with global stakeholders across business finance operations and technology.
- Maintain Jira hygiene and reporting aligned to Control Standards.
- Build and strengthen crossfunctional relationships to accelerate delivery.
- Communicate proactively on scope risks and impacts across time zones.
- Identify and analyze data quality lineage and processing issues.
- Resolve production defects with Ops and Engineering via rapid triage and rootcause actions.
- Drive continuous process improvement to enhance reliability speed and scale.
- Test and accept releases; validate functionality and controls before deployment.
Required qualifications capabilities and skills
- Hold a Bachelors in Business Computer Science Engineering Information Technology or related field; MBA or Masters
- Bring 10 years in product or project management with a strong technical background.
- Demonstrate leadership of largescale complex products or portfolios with clear business impact.
- Define and execute product strategy aligned to business goals controls and data governance.
- Apply Agile practices to plan prioritize and deliver; manage Jira for transparency and compliance.
- Translate business strategy into technical requirements; guide crossfunctional teams and mentor talent.
- Utilize SQL and enterprise data platforms (e.g. Redshift Snowflake Databricks) with advanced analytics to drive decisions; operate confidently with Microsoft Office.
Preferred qualifications capabilities and skills
- Pursue advanced Agile certifications (e.g. CSPO PSPO SAFe POPM).
- Attain AI/ML certifications from leading providers (e.g. AWS Google Microsoft Coursera edX).
- Maintain continuous learning on AI data quality and emerging technology trends.
- Leverage experience applying AI/ML to data quality monitoring and anomaly detection.
- Employ familiarity with authored data management metadata practices and data catalogs.
- Strengthen stakeholder influence across distributed multitimezone teams.
- Elevate outcomes through measurable OKRs tied to client experience controls and data reliability.
Required Experience:
Exec
DescriptionJoin JPMorgan Chases Commercial and Investment Banking to shape the platforms that power client experience controls and data-driven decisions. As a Vice President Product Owner youll lead strategic data products like GBCDS the Data Quality Engine and Data Census to deliver governed insigh...
DescriptionJoin JPMorgan Chases Commercial and Investment Banking to shape the platforms that power client experience controls and data-driven decisions. As a Vice President Product Owner youll lead strategic data products like GBCDS the Data Quality Engine and Data Census to deliver governed insightready data at scale. Partner with global stakeholders to turn business needs into resilient highimpact solutions.
Job Summary
As a Vice President within Commercial and Investment Banking Controls and Product Experience you will lead the Global Banking Data Hubs flagship data productsGBCDS the Data Quality Engine and Data Censusto deliver reliable controlled and actionable data. You will define product vision prioritize backlogs and drive endtoend execution across globally distributed technology and operations teams. You will translate business strategy into scalable solutions that improve data quality streamline processes and enhance client and stakeholder outcomes.
Job Responsibilities
- Lead GBCDS Data Quality Engine and Data Census product roadmaps end to end.
- Define product vision success metrics and outcomeoriented OKRs.
- Prioritize and groom backlogs; refine epics and stories for clarity and value.
- Partner closely with global stakeholders across business finance operations and technology.
- Maintain Jira hygiene and reporting aligned to Control Standards.
- Build and strengthen crossfunctional relationships to accelerate delivery.
- Communicate proactively on scope risks and impacts across time zones.
- Identify and analyze data quality lineage and processing issues.
- Resolve production defects with Ops and Engineering via rapid triage and rootcause actions.
- Drive continuous process improvement to enhance reliability speed and scale.
- Test and accept releases; validate functionality and controls before deployment.
Required qualifications capabilities and skills
- Hold a Bachelors in Business Computer Science Engineering Information Technology or related field; MBA or Masters
- Bring 10 years in product or project management with a strong technical background.
- Demonstrate leadership of largescale complex products or portfolios with clear business impact.
- Define and execute product strategy aligned to business goals controls and data governance.
- Apply Agile practices to plan prioritize and deliver; manage Jira for transparency and compliance.
- Translate business strategy into technical requirements; guide crossfunctional teams and mentor talent.
- Utilize SQL and enterprise data platforms (e.g. Redshift Snowflake Databricks) with advanced analytics to drive decisions; operate confidently with Microsoft Office.
Preferred qualifications capabilities and skills
- Pursue advanced Agile certifications (e.g. CSPO PSPO SAFe POPM).
- Attain AI/ML certifications from leading providers (e.g. AWS Google Microsoft Coursera edX).
- Maintain continuous learning on AI data quality and emerging technology trends.
- Leverage experience applying AI/ML to data quality monitoring and anomaly detection.
- Employ familiarity with authored data management metadata practices and data catalogs.
- Strengthen stakeholder influence across distributed multitimezone teams.
- Elevate outcomes through measurable OKRs tied to client experience controls and data reliability.
Required Experience:
Exec
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