Analytics Solutions Senior Associate - AI at Scale

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Consumer & Community Banking

This role supports strategic planning and execution for cross-product AI initiatives within a Product Strategy & Execution team at JPMorgan Chase. The focus is on shaping initiative charters, coordinating roadmaps, driving stakeholder alignment, and reporting on progress and outcomes at an enterprise scale. The role operates at the intersection of product, data/AI, technology, and business teams to ensure initiatives are well-defined, on track, and positioned for adoption and impact.

What you'd actually do

  1. Support the development of initiative charters (problem statement, scope, success metrics, “definition of done,” dependencies, and delivery approach) in partnership with Product and Business leaders.
  2. Build relationships across product, technology, and business teams to drive alignment, track action items, and ensure follow-through.
  3. Help maintain integrated roadmaps, sequencing milestones and surfacing cross-team dependencies and delivery risks.
  4. Coordinate materials and facilitate working sessions/decision forums to enable timely, evidence-based decisions and issue resolution.
  5. Produce regular status updates for leadership and working teams, highlighting progress, risks, blockers, decisions needed, and outcome tracking (KPIs/OKRs).

Skills

Required

  • 3+ years of experience in program/project management, product execution, portfolio support, or strategic initiative delivery, data, analytics, and/or AI-driven environments.
  • Experience supporting cross-functional initiatives in a matrixed organization, with comfort managing dependencies and ambiguity.
  • Strong communication and stakeholder management skills; able to synthesize information into clear narratives and action-oriented updates.
  • Working knowledge of roadmap development, initiative planning/chartering, and outcome-focused reporting (KPIs/OKRs).
  • Foundational understanding of AI/ML concepts and what it takes to scale solutions (data readiness, delivery lifecycle, monitoring basics).
  • Strong organizational skills and attention to detail; ability to manage multiple workstreams simultaneously.
  • Bachelor’s degree required (or equivalent experience).

Nice to have

  • Experience in a large, matrixed financial services or technology organization.
  • Familiarity with agile/lean delivery practices and portfolio execution tools (e.g., Jira, Confluence or similar).
  • Exposure to data governance, regulatory requirements, or risk/controls processes related to AI/ML initiatives.

What the JD emphasized

  • AI at Scale Portfolio
  • enterprise scale
  • cross-product AI initiatives
  • Foundational understanding of AI/ML concepts and what it takes to scale solutions (data readiness, delivery lifecycle, monitoring basics).