Strategic Analytics Manager-Vice President

JPMorganChase•Jersey City, NJ

About The Position

The Strategic Analytics Manager in Data & Analytics supports Home Lending Operations by applying data science and AI to optimize processes, inform business decisions, and improve customer outcomes. The role helps build an automated, AI-centric Home Lending business serving Chase households, and identifies, prototypes, and scales agentic use cases for operational processes and digital customer experiences. The manager leads and develops an analytics team, owns analytics delivery from problem framing through recommendations, and partners across Operations, Product, Technology, Finance, Strategy, Business Intelligence, and Modeling. The role establishes analytics quality standards and foundational data requirements, develops ongoing reporting and dashboards, and defines measurement for new product releases, including data-quality evaluation and experiment design.

Requirements

Quantitative bachelor's or advanced degree in a field such as Computer Science, Engineering, Operations Research, Statistics, Economics, Math, 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 use of 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 work is sufficient or requires deeper analysis.
Proficiency in data querying, transformation, and analysis using modern analytical tools and programming languages, including Python and SQL.
Strong data storytelling skills, including simplifying complex concepts for audiences across business and technical functions.
Experience presenting analytical insights and recommendations to senior leaders.
Commitment to iterative development and measurable outcomes, including incorporating stakeholder and customer feedback.
Ability to work effectively across cross-functional teams, align stakeholders, and deliver high-quality work using 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 prioritization, 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 to senior stakeholders.
Anticipate leadership questions about risks, tradeoffs, and edge cases and address them in initial analyses.
Challenge weak logic, ask why, and drive analytical work to a conclusion.
Set team analytics quality standards for documentation, peer review, reproducibility, data accuracy, and results controls.
Define requirements for foundational data tables in partnership with Data and Technology teams, aligning with data strategy.
Develop always-on reporting for key metrics and trends.
Partner with the Business Intelligence team to deploy dashboards to production.
Establish day-one measurements 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 use cases through governance.