Securities Services - Onboarding Product Development - Vice President
JPMorganChase · Mumbai · 7+ yrs experience · Posted 2026-05-20
About the role
About J.P. Morgan Corporate & Investment Bank: Join J.P. Morgan, a global leader in financial services, renowned for delivering innovative solutions and exceptional service to clients worldwide. With a strong presence in the marketplace and a commitment to excellence, we offer outstanding career opportunities within one of the most respected financial institutions.
Responsibilities:
- Engage senior stakeholders
- to communicate business needs, data priorities, key risks, and strategic objectives; clearly articulate trade-offs and recommendations.
- 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.
- 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.
- Establish a standardized framework
- for intake, prioritization, documentation, and delivery of product and data requirements/changes across onboarding platforms, leveraging AI/ML where appropriate.
- Apply data, AI/ML, and analytics
- to solve problems, track and communicate progress, and inform decision-making across large and complex datasets.
- Engage across management, operations, and delivery teams
- to review, document, and communicate objectives, program needs, progress updates, and risks; escalate as needed.
- Maintain requirements traceability to business objectives
- , ensuring scope and requirements remain aligned to the business case.
- 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.
- Lead impact analysis
- for changes (process, operational, regulatory/control, and technology), ensuring risks are identified early and escalated appropriately.
- Partner with Operations
- to define scalable operating processes and readiness to support the product.
- Lead and develop a high-performing team
- , fostering an inclusive, collaborative culture.
- Identify, manage, and mitigate risks/issues
- , balancing speed-to-market with control and operational risk standards.
- Organize the team for sustained delivery
- , aligning roles and responsibilities to individuals’ strengths and capabilities.
- Set clear goals and expectations
- grow talent through coaching
- , delegation, empowerment, and training opportunities
- Required qualifications, capabilities & skills:
- 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.
Qualifications:
- Experience with AI/ML solutions
- to drive change and governance of data models is preferred.
- Why Join Us?
- This is a rare opportunity to be at the cutting edge of a critical area within J.P. Morgan, where you can leverage your Product Delivery, Data and AI expertise to build transformative applications from the ground up. If you are an energetic self-starter with a passion for innovation and excellence, we invite you to join our dynamic team in Mumbai and make a significant impact on the future of Onboarding within Securities Services.
Qualifications
- Experience with AI/ML solutions to drive change and governance of data models is preferred.
- Why Join Us?
- This is a rare opportunity to be at the cutting edge of a critical area within J.P.
- Morgan, where you can leverage your Product Delivery, Data and AI expertise to build transformative applications from the ground up.
- If you are an energetic self-starter with a passion for innovation and excellence, we invite you to join our dynamic team in Mumbai and make a significant impact on the future of Onboarding within Securities Services.
Responsibilities
- Engage senior stakeholders to communicate business needs, data priorities, key risks, and strategic objectives; clearly articulate trade-offs and recommendations.
- 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.
- 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.
- Establish a standardized framework for intake, prioritization, documentation, and delivery of product and data requirements/changes across onboarding platforms, leveraging AI/ML where appropriate.
- Apply data, AI/ML, and analytics to solve problems, track and communicate progress, and inform decision-making across large and complex datasets.
- Engage across management, operations, and delivery teams to review, document, and communicate objectives, program needs, progress updates, and risks; escalate as needed.
- Maintain requirements traceability to business objectives ensuring scope and requirements remain aligned to the business case.
- 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.
- Lead impact analysis for changes (process, operational, regulatory/control, and technology), ensuring risks are identified early and escalated appropriately.
- Partner with Operations to define scalable operating processes and readiness to support the product.
- Lead and develop a high-performing team fostering an inclusive, collaborative culture.
- Identify, manage, and mitigate risks/issues balancing speed-to-market with control and operational risk standards.
- Organize the team for sustained delivery aligning roles and responsibilities to individuals’ strengths and capabilities.
- Set clear goals and expectations grow talent through coaching delegation, empowerment, and training opportunities
- Required qualifications, capabilities & skills:
- 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.