Securities Services - Onboarding Product Development - Vice President

JPMorgan Chase JPMorgan Chase · Banking · Mumbai, Maharashtra, India · Commercial & Investment Bank

Product Delivery Manager for Securities Services Onboarding at JPMorgan Chase, Mumbai. This role focuses on defining and delivering the strategic roadmap for end-to-end onboarding, with a strong emphasis on establishing an AI & Data Strategy. The responsibilities include leading the design and execution of data governance, applying AI/ML for insights and risk management, and managing the product delivery lifecycle. Requires strong financial services experience, data architecture knowledge, and project management skills. Experience with AI/ML solutions is preferred.

What you'd actually do

  1. Define and deliver the strategic vision and roadmap for end-to-end onboarding platforms and data capabilities, partnering with firmwide and Securities Services teams to drive business outcomes, client experience, efficiency, and controls.
  2. Own the product, process, and data end-to-end, including data definitions, lineage, quality, access, and change control; evaluate trade-offs and downstream impacts across products, processes, and reporting.
  3. Establish a standardized framework for intake, prioritization, documentation, and delivery of product and data requirements/changes across onboarding platforms, leveraging AI/ML where appropriate.
  4. Apply data, AI/ML, and analytics to solve problems, track and communicate progress, and inform decision-making across large and complex datasets.
  5. Lead the delivery lifecycle—business requirements, functional requirements review, build/implementation oversight, UAT, and production rollout—ensuring delivery is on time, on budget, and aligned to priorities.

Skills

Required

  • 7+ years of experience in Financial Services across Data-Driven Product Development, Business Transformation, and/or Onboarding, with strong business analysis and change management skills.
  • Expertise in analyzing business problems to define detailed requirements and translate them into user stories with clear, testable acceptance criteria to support technology delivery and user adoption.
  • Self-starter mindset, with demonstrated ability to bring structure to ambiguous problem spaces and drive execution with minimal oversight.
  • Strong project/program management capability, delivering complex, cross-functional initiatives end-to-end.
  • Proven stakeholder management and influencing skills, aligning senior partners across Product, Technology, Operations, and Controls, including across regions and time zones.
  • Hands-on knowledge of data architecture, including data modelling, data lineage, and data quality.
  • Experience with enterprise data platforms and data governance models.
  • Excellent written and verbal communication, with the ability to produce clear documentation and translate complex concepts for non-technical audiences.
  • Highly organized, with strong prioritization and delivery discipline.

Nice to have

  • Experience with AI/ML solutions to drive change and governance of data models is preferred.

What the JD emphasized

  • AI & Data Strategy
  • AI/ML-enabled approaches
  • data, AI/ML, and analytics
  • AI/ML solutions

Other signals

  • AI/ML-enabled approaches to enhance insights, efficiency, and risk management
  • Apply data, AI/ML, and analytics to solve problems
  • Experience with AI/ML solutions to drive change and governance of data models is preferred