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Product Delivery Manager – Data Management & Data Governance

JPMorgan Chase
Jersey City, USA
Full-time
Manager · 5+ years experience
Onsite
Discovered 2 weeks ago
Communication

Full Job Posting

Job responsibilities

  • Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
  • Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
  • Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners
  • Drive execution of Consumer & Community Banking data management and data governance initiatives, and lead planning and delivery for programs and leadership priorities across the data organization. Develop program plans, governance cadence, milestones, and action plans that establish clear ownership, accountability, and measurable progress against data governance commitments.
  • Partner with data engineering, product, data owners/stewards, architecture, controls, Legal, Compliance, and Risk teams to define program scope, objectives, deliverables, and dependencies aligned to firmwide data standards. Manage delivery of core data management capabilities — data cataloging, metadata and lineage, data quality rules and issue remediation, reference/master data, classification, retention and disposal, and data access provisioning.
  • Coordinate regulatory and policy-driven workstreams (e.g., firmwide data risk standards, privacy and consumer data obligations, records retention, audit and exam responses), tracking commitments, evidence, and closure dates. Track and report data quality issues and data-related control findings end-to-end, from intake and root-cause analysis through remediation, sustainability validation, and closure.
  • Coordinate across engineering, product, architecture, and business stakeholders; drive delivery reviews and leadership updates so leaders maintain visibility into progress and decisions. Use enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID logs, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
  • Prepare executive-ready materials, leadership updates, business reviews, governance forums, and communications that summarize status, decisions, risks, and next steps. Drive continuous improvement across operating processes, reporting, controls governance, issue management, and execution routines to improve transparency, efficiency, and follow-through. Support change execution by coordinating communications, readiness activities, training, follow-ups, and stakeholder alignment as teams adopt new data policies, tooling, processes, and ways of working. Promote reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.

Required qualifications, capabilities, and skills

  • 5+ years of experience or equivalent expertise in product delivery or a relevant domain area
  • Demonstrated ability to execute operational management and change readiness activities
  • Strong understanding of delivery and a proven track record of implementing continuous improvement processes
  • Experience in product or platform-wide release management, in addition to deployment processes and strategies
  • 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization. Demonstrated ability to lead complex, cross-functional initiatives with multiple stakeholders, dependencies, risks, and competing priorities. Working knowledge of data management and data governance concepts — data ownership and stewardship, metadata and lineage, data quality measurement and remediation, data classification, data lifecycle/retention, and access management. Strong analytical and problem-solving skills, with the ability to translate business, technical, regulatory, and operational objectives into actionable plans.
  • Demonstrated stakeholder management and influencing skills, including the ability to build productive relationships and drive alignment across senior leaders, data owners, and distributed teams. Experience in Technical Program Manager, Business Management, Chief of Staff–type execution, Technology Operations, large transformation program, or enterprise technology program management roles.
  • Experience with cross-functional execution; governance, controls, and issue management; executive communications and leadership support; and change navigation in a growing organization. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows, with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations. Experience preparing executive communications, business reviews, governance materials, dashboards, and status updates for senior business and technology audiences.
  • Experience managing program schedules, milestones, risks, issues, decisions, and action items with clear ownership and follow-through. Proficiency with PowerPoint, Excel, project tracking, and collaboration tools; strong written and verbal communication skills.

Preferred qualifications, capabilities, and skills

  • Proficient knowledge of the product development life cycle, design, and data analytics
  • Experience in financial services, portfolio governance, or large-scale technology operating environments, ideally supporting a Chief Data Office or data risk function, Familiarity with data governance tooling and platforms (e.g., data catalogs, data quality engines, lineage tools) and with modern cloud data platforms and lakehouse architectures.
  • Exposure to data-related regulatory and control frameworks (e.g., BCBS 239 principles, consumer privacy regulations, records management requirements) and to audit or regulatory exam support.
  • Experience supporting senior leadership forums, including staff meetings, business reviews, data governance councils, executive communications, and cross-functional decision-making discussions.
  • Experience across technical program management, business management, technology governance, or related execution roles; candidates with transferable skills across these disciplines are encouraged to apply.

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