Securities Services Billing Product Development Vice President

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 unparalleled career opportunities within one of the most respected financial institutions globally. Securities Services: J.P. Morgan Securities Services a division of the Corporate & Investment Bank (CIB) is a global industry leader managing $35.8 trillion in assets under custody and providing cutting-edge global custody fund accounting and middle office services to the worlds largest institutional investors and asset managers.

As aVice President Product Delivery Manager in Securities Services Billing you will drive the definition and delivery of the strategic roadmap forend-to-end Billing. This role offers the unique opportunity tobring scale to an internal application delivering innovative solutions that improvebusiness outcomes client experience operational efficiency and control standards.

You will support thedesign and execution of the AI & Data Strategy for Securities Services Billing establishing a well-governed data foundation to streamline howdata requirements validations changes and downstream impactsare captured assessed and implemented. Partnering closely withProduct Technology Operations and Controls you will ensure data isconsistent reusable traceable and fit for purpose while applyingAI/ML-enabled approachesto enhance insights efficiency and risk management.

Job Responsibilities:

• Engage senior stakeholdersto communicate business needs data priorities key risks and strategic objectives; clearly articulate trade-offs and recommendations.
• Define and deliver the strategic vision and roadmapfor Billing 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 frameworkfor intake prioritization documentation and delivery of product and data requirements/changes across onboarding platforms leveraging AI/ML where appropriate.
• Engage across management operations and delivery teamsto review document and communicate objectives program needs progress updates and risks; escalate as needed.
• Apply data AI/ML and analyticsto solve problems track and communicate progress and inform decision-making across large and complex datasets.
• Maintain requirements traceabilityto business objectives ensuring scope and requirements remain aligned to the business case.
• Lead the delivery lifecyclebusiness requirements functional requirements review build/implementation oversight UAT and production rolloutensuring 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 Operationsto define scalable operating processes and readiness to support the product. Identify manage and mitigate risks/issues balancing speed-to-market with control and operational risk standards.

• Lead and develop a high-performing team fostering an inclusive collaborative culture. Organize the team for sustained delivery aligning roles and responsibilities to individuals strengths and capabilities. Set clear goals and expectations andgrow talent through coaching delegation empowerment and training opportunities

Required qualifications capabilities & skills:

• 7 years of experiencein Financial Services across Data-Driven Product Development Business Transformation and/or Billing 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.

• 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.

Preferred qualifications capabilities & skills:

• Experience with enterprise data platformsanddata governance models will be a plus.
• Experience with AI/ML solutionsto drive change and governance of data models is preferred.