Strategic Analytics Manager-Vice President

JPMorgan Chase & Co. • Jersey City, NJ

5d • $147,250 - $215,000

About The Position

The Strategic Analytics Manager, Vice President, supports Home Lending Operations within Chase’s Data & Analytics organization. The role applies data science and AI to optimize operational processes, improve customer experience, and inform business strategy. The manager partners with Operations, Product, Technology, Finance, and Strategy teams, and leads an analytics team in delivering rigorous, actionable insights for senior stakeholders. The position also identifies and scales AI and machine-learning use cases that support more automated operations and digital customer experiences.

Requirements

• Quantitative bachelor’s or advanced degree, such as in Computer Science, Engineering, Operations Research, Statistics, Economics, Mathematics, or Physics.
• At least 7 years of experience in analytics roles.
• At least 3 years of people-management experience leading analytics teams, including hiring, coaching, and performance development.
• AI fluency, including using AI tools in day-to-day analysis to work faster and produce better solutions.
• Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations, with sound judgment about when analysis is sufficient and when it needs further work.
• Skill in data querying, transformation, and analysis using modern analytical tools and programming languages, including Python and SQL.
• Strong data storytelling skills, including explaining complex concepts to audiences across business and technical functions and presenting insights and recommendations to senior leaders.
• Commitment to iterative development and measurable outcomes, with the ability to incorporate stakeholder and customer feedback.
• Ability to work effectively across cross-functional teams, align stakeholders, and deliver high-quality work by drawing on complementary team strengths.
• Proficiency with data visualization tools such as Tableau.

Nice To Haves

• Banking or similar industry experience, especially Home Lending.
• Experience with experimental design, including A/B testing, and other statistical measurement methods.
• Experience developing, testing, or scaling AI-enabled and agentic use cases in business workflows.

Responsibilities

• Partner with Operations, Product, Technology, Finance, and Strategy teams on Home Lending Operations initiatives and decisions involving product performance, customer outcomes, and operational efficiency.
• Build, lead, and develop a high-performing analytics team by setting direction, managing day-to-day priorities, coaching team members, supporting career development, and fostering rigor and curiosity.
• Own analytics delivery end to end, including problem framing, measurement design, data exploration, analysis, and recommendations for senior stakeholders.
• Anticipate leaders’ questions about risks, tradeoffs, and edge cases; challenge weak logic and drive analytical work to a conclusion.
• Set team standards for analytics quality, including documentation, peer review, and reproducibility, and maintain controls around data accuracy and results.
• Define requirements for foundational data tables and partner with Data and Technology teams to align with data strategy.
• Develop always-on reporting for key metrics and trends, and partner with Business Intelligence to deploy dashboards to production.
• Establish day-one measurement for new product releases, including key-metric reporting, data-quality evaluation, and experiment design such as A/B testing.
• Identify and develop high-value AI and machine-learning use cases for Home Lending Operations to automate or optimize processes and support digital customer experiences.
• Partner with the Modeling team to take AI and machine-learning use cases through governance.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager