Strategic Analytics Manager-Vice President

Strategic Analytics Manager-Vice President

Jersey City, NJ, United States

and 2 more

Job Information

• Job Identification 210803715

• Job Category Predictive Science

• Business Unit Consumer & Community Banking

• Posting Date 10/26/2026, 02:18 PM

• Locations 575 Washington Blvd, Jersey City, NJ, 07310, US7301 Baymeadows Way, Jacksonville, FL, 32256, US1111 Polaris Pkwy, Columbus, OH, 43240, US

• Job Schedule Full time

• Base Pay/Salary Jersey City,NJ $147,250.00-$215,000.00

Job Description

Are you passionate about applying data science and AI to optimize processes and shape customer experience at scale? If you enjoy solving business problems analytically, using AI in your day-to-day work, and influencing strategy for a critical line of business, this role is for you.

As a Strategic Analytics Manager in Data & Analytics supporting Home Lending Operations, you’ll help build an automated, AI-centric Home Lending business that deepens relationships with our more than 70 million Chase households.

You’ll apply AI in everyday analysis to support key business decisions, and bring the curiosity to identify, prototype, and scale new agentic use cases that improve operational processes and customer outcomes. You're an avid learner, eager to use data science and AI to launch and evolve the top priorities in Home Lending Operations.

Job Responsibilities:

• Partner with Operations, Product, Technology, Finance, and Strategy teams on key Home Lending Operations initiatives and decisions – product performance, customer outcomes, and operational efficiency.

• Build, lead, and develop a high-performing analytics team – setting direction, managing day-to-day prioritization, providing coaching and career development, and fostering a culture of rigor and curiosity.

• Own analytics delivery end to end – problem framing, measurement design, data exploration, analysis, and clear recommendations to senior stakeholders.

• Anticipate the questions leaders will ask, such as risks, tradeoffs, and edge cases, and answer them in the first version of the work. Ask ‘why,’ challenge weak logic, and drive work to a conclusion.

• Set analytics quality standards for the team – documentation, peer review, and reproducibility – and maintain strong controls around data accuracy and results.

• Define requirements for foundational data tables to support analysis, partnering with Data/Technology teams to align with data strategy.

• Develop always-on reporting with key metrics and trending. Partner with the Business Intelligence team to deploy dashboards to production.

• Set up day-one measurements for new product releases, including reporting on key metrics, evaluating data quality, and experiment design (including A/B testing).

• Identify and develop high-value AI and machine learning use cases for HL Operations that automate/optimize processes and support digital customer experiences. Partner with the Modeling team to take use cases through governance.

Required qualifications, capabilities, and skills:

• Quantitative bachelor’s or advanced degree (e.g., Computer Science, Engineering, Operations Research, Statistics, Economics, Math, Physics)

• 7+ years of experience in analytics roles

• 3+ years of people-management experience leading analytics teams, including hiring, coaching, and performance development

• AI fluency – you use 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, and sound judgment on what is good enough versus needs deeper work

• Skilled in data querying, transformation, and analysis using modern analytical tools and programming languages (Python and SQL)

• Strong data storytelling capabilities, including simplifying complex concepts for audiences of varying levels across business and technical functions, with experience presenting analytical insights and recommendations to senior leaders

• Strong commitment to iterative development and measurable outcomes, with the ability to incorporate stakeholder and customer feedback

• Work effectively across cross-functional teams – aligning stakeholders and delivering high-quality work by drawing on the team’s complementary strengths

• Proficient with data visualization tools such as Tableau

Preferred qualifications, capabilities, and skills:

• 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

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.