The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Fusion Data for AI product team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data.

As the Data for AI program manager, you will be the operational backbone of a product organization, streamlining workflows, automating reporting, and creating transparency across roadmaps, OKRs, and performance metrics. You will partner closely with product managers, engineering leaders, and stakeholders to ensure the product team operates efficiently, communicates effectively, and delivers measurable impact.

We're looking for someone who thrives in complexity—who can bring structure to ambiguity, automate manual processes, and create scalable systems that enable product teams to focus on building great products.

Job responsibilities Platform Governance & Strategic Planning

• Define and maintain product strategy artifacts, OKRs, and roadmaps across multiple products, ensuring alignment with business priorities
• Identify and integrate data sources to track progress against OKRs and automate reporting workflows
• Coordinate quarterly planning cycles with technical delivery managers and engineering leads, ensuring product roadmaps are accurate and aligned with stakeholder expectations

Performance Visibility & Metrics Management

• Build and maintain performance dashboards tracking stability metrics, OKR adherence, and product health across the portfolio
• Partner with data visualization and analytics teams to automate metric collection and reporting across product portfolio.

Stakeholder Reporting & Communications

• Manage regular reporting cadences across Fusion leadership on key client adoption initiatives.
• Coordinate across the product team and product marketing to produce communications and release notifications. Identify opportunities to increase client engagement and outreach.
• Implement continuous feedback mechanisms such as in-journey CSAT, UX research workshops, yearly surveys etc. to inform strategy.

Product and Process Innovation

• Define standards for technical documentation, improving client support (docs/chatbots/etc.) and tracking observability metrics across product portfolio.
• Drive product/process improvements that reduce friction, eliminate redundancy, and scale operational capabilities.
• Partner on driving end-to-end solutions that are critical to adoption with other product peers.

Required qualifications, capabilities, and skills

• 5+ years in product/program management/portfolio governance within technology organizations, preferably supporting platform products or developer tools
• Proven track record of operational impact: Implemented processes, dashboards, or automation that measurably improved team efficiency, stakeholder satisfaction, or decision-making quality
• Systems thinking mindset: Design scalable, repeatable processes that work across multiple products and teams—not one-off solutions
• Strong communication skills: Translate complex product strategies into clear, compelling narratives for technical and executive audiences through presentations, dashboards, and written reports
• Stakeholder management expertise: Build trust and influence across product managers, engineering leaders, and senior executives to drive alignment and accountability
• Data-driven approach: Comfortable working with metrics, dashboards, and analytics tools to track performance and inform decisions
• Project management excellence: Ability to manage multiple workstreams simultaneously, prioritize effectively, and deliver on time in a fast-paced environment

Preferred qualifications, capabilities, and skills

• Experience in financial services or highly regulated industries
• Familiarity with product management tools and platforms: Jira, Confluence, PowerPoint, data visualization tools
• Knowledge of agile methodologies, OKR frameworks, and product development lifecycles
• Background in change management, employee engagement, or organizational communications
• Technical fluency to understand product architectures and engage meaningfully with engineering teams

Why Join Us

• Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC
• Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions