Vice President- Deposit Product, Data and Analytics Manager

JPMorganChase•Columbus, OH

39d

About The Position

Help shape the future of deposits at JPMorganChase. Your effort and ideas will drive real change for millions of customers in client banking, automated technology and more. And working here means you have the ambition to shape the future. Where people inspire excellence, leaders invest in your growth, tools and technology amplify your skills, and our scale multiplies your impact. This is what happens when you join JPMorganChase, where ambition meets possibility. As a Vice President leading Product Management Data & Analytics, you will play a vital role in driving the success of our new product through data-driven insights and financial analysis. Leveraging your expertise in metrics and analytics, you will collaborate with cross-functional teams to define key performance indicators (KPIs) and evaluate product performance. Your analytical skills will enable you to conduct financial modeling, support budgeting and forecasting efforts, and identify opportunities for product enhancements based on market trends and customer feedback. By transforming complex data into actionable insights, you will contribute to strategic decision-making and help shape the future of our product offerings, ensuring alignment with both business objectives and customer needs.

Requirements

5+ years of Financial Services experience; retail banking or deposit products exposure preferred.
5+ years in strategy, program management, or an analytics-adjacent role leading cross-functional initiatives.
Strong project management skills, including roadmap development, milestone identification and tracking, timeline management, and risk escalation across matrixed organizations.
Ability to synthesize analytics outputs into executive-ready narratives; strong data storytelling skills essential.
Experience partnering with Data Scientists and Data Engineers to translate business needs into analytical requirements.
Conceptual understanding of the data and analytics lifecycle, including data asset development and pipeline construction.
Experience managing against contractual obligations or external partner commitments related to data and reporting.
Familiarity with D&A platforms such as Snowflake or Tableau preferred; comfort with technical concepts expected.
Strong written and verbal communication skills across technical and business stakeholders.
Well-organized and detail-oriented with a structured approach to prioritization in a fast-paced environment.
Self-directed and proactive, able to operate independently while maintaining alignment with leadership and partners.
Basic understanding of risk management and regulatory compliance relevant to consumer financial products.

Responsibilities

Develop and maintain the long-term D&A strategic roadmap, translating General Management business objectives into analytical priorities and communicating findings back to senior leadership.
Lead development and ongoing management of the D&A roadmap, defining milestones, owners, and delivery timelines across functions.
Serve as the primary project management lead for D&A initiatives, tracking dependencies, escalating risks, and maintaining cross-functional visibility.
Coordinate across multiple internal D&A teams to maintain visibility of work across functions and ensure alignment, proactively surfacing interdependencies, tracking progress, and escalating risks or blockers as appropriate.
Oversee coordination of data asset development, including pipeline build-out into shared environments, across internal teams and external product partners.
Define and manage the reporting schedule for Arsenal, ensuring consistent and timely delivery of metrics and insights to stakeholders.
Ensure all contractual reporting and metrics obligations to the external product partner are clearly understood, tracked, and fulfilled in a timely and accurate manner.
Utilize analytics outputs to develop executive-ready storytelling and inform the long-term strategic direction of the D&A pillar.
Partner with other GM pillar leads to identify and define analytics needs across GM pillars — including Customer Experience, Financial Product Management, Marketing, Operations and Servicing Strategy, and Business Management — and partner with internal Data Owners and Data Scientists to align on approach and prioritize execution.
Prepare and present strategic recommendations and analytical findings, translating complex data insights into clear and actionable business narratives for senior leadership.