Data Product Owner-Executive Director

JPMorgan Chase & Co.; New York (NY); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. in New York seeks a Data Product Owner to drive data strategy across Connected Commerce data domains and govern data across lifecycle.

You will partner with Product Owners, Technology, Data Engineering, Analytics, Legal and Compliance to define dataset standards, ensure privacy, and deliver measurable business value.

Qualifications

• Bachelor’s degree and 10+ years in data fields.
• Experience managing delivery across multiple workstreams with varying timelines.
• Subject matter expertise in business or product data or processes.
• Technical knowledge of data management and governance, big data platforms, or data architecture.
• Demonstrated ability to manage delivery timelines and ensure goals are met.
• Proven ability to execute via internal partnerships.
• Strong interpersonal and communication skills with ability to articulate complex topics to senior audiences.
• Structured thinker with good business acumen.
• Understanding of Agile development methodology.

Responsabilités

• Own the data strategy, roadmap and delivery priorities for an assigned portfolio of Connected Commerce data and business domains.
• Serve as the accountable SME for data meaning, permitted use, quality, lineage and lifecycle within the scope.
• Coordinate delivery across source-system owners, data engineers, platform teams and consumers to create scalable data assets.
• Ensure data compliance with privacy, access, retention, destruction, data use, records management and information protection.
• Review and approve data access and usage with business justification and traceability.
• Identify and manage data risks, issues, dependencies and control gaps; escalate when needed.
• Define product-level objectives, milestones, service expectations and KPIs; communicate progress to senior stakeholders.
• Build relationships across the Quad and contribute reusable standards and best practices across the data community.
• Lead or coordinate team members responsible for data ownership, governance, product delivery and control activities.

Connaissances

Data product ownership

Cross-functional leadership

Data governance

Data strategy

Stakeholder management

Agile methodology

Communication

Privacy/compliance awareness

Data quality

Project delivery

Formation

Bachelor’s degree in a data-related field

Master’s degree (preferred) in a relevant field

Outils

Big data platforms

Data governance tools

Data architecture tooling

Cloud data platforms

Description du poste

Are you passionate about harnessing the power of data to shape the future of financial services? Join us and make a direct impact on how we deliver cutting‑edge machine learning solutions that accelerate product development and improve the Chase customer experience.

As a Data Product Owner on the Connected Commerce Analytics Team, you play a pivotal role in developing and driving our data strategy and ensuring the quality and protection of data across our products. accountable for the data created, sourced, transformed, provisioned and consumed across assigned Connected Commerce products and business processes. You'll set the data strategy and roadmap, define critical data and quality expectations, and ensure that our data is understood, protected and fit for purpose throughout its lifecycle. You willoperateas a senior member of cross‑functional product teams, partnering with Product Owners, Technology, Data Engineering, Architecture, Analytics, Operations, Legal, Compliance and Risk. You'll translate business priorities into reusable datasets and governed data capabilities that improve customer experiences, accelerate analytics and artificial intelligence, support financial and operational reporting, and reduce data risk. This is your opportunity to influence the way we manage, protect, and leverage data across our organization.

Job Responsibilities

• Own the data strategy,roadmapand delivery priorities for an assigned portfolio of Connected Commerce data and business domains.
• Serve as the accountable subject matter expert for the meaning,permitteduse, quality,lineageand lifecycle of data within the assigned scope.
• Coordinate delivery across source-system owners, data engineers, platform teams and consumers to create scalable, reusable and well-defined data asset.
• Ensure data comply withfirmwide requirements for privacy, access, retention, destruction, data use, recordsmanagementand information protection.
• Review and approveappropriate dataaccess and usage, ensuring business justification, restrictions,evidenceand traceability aremaintained.
• Identify and manage data risks, issues, dependencies and control gaps; escal
• Define product-levelobjectives, milestones, serviceexpectationsand key performance indicators; communicate progress, value,risksand decisions to senior stakeholders.
• Build strong relationships across the Quad andcontributereusable standards and best practices across the broader data community.
• Lead,coachor coordinate direct and matrixed team members responsible for data ownership, governance, productdeliveryand control activities.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree and 10 years of industry experience in a data-related field.
• Experience managing delivery across multiple workstreams with varying timelines
• Subject matter expertise in business or product data or processes
• Technical knowledge of data management and governance, big data platforms, or data architecture
• Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals
• Proven ability to execute via internal partnerships
• Strong interpersonal and communication skills with the ability to articulate complex technical concepts to senior audiences
• Structured thinker with good business acumen
• Understanding of Agile technological development methodology.

Preferred Qualifications, Capabilities, and Skills

• Familiarity with data contracts, data quality, data models, data observability,reconciliationand production support practices.
• Experience enabling advanced analytics, machinelearningor generative artificial intelligence with governed enterprise data.
• Experience leading geographically distributed or matrixed teams.
• Master's degree in a relevant field.