Data Scientist Director

Ready to turn AI into real-world impact at enterprise scale? In this role, you'll shape how analytics and AI/ML are delivered—building a repeatable model that accelerates high-impact solutions from idea to production. You'll grow your leadership footprint through cross-functional partnership, portfolio ownership, and visibility with senior stakeholders across markets. 
You'll join a collaborative, outcome-driven team culture that values disciplined execution, responsible innovation, and shared success.

As an Executive Director, Data and Analytics within the Connected Commerce Data and AI Center of Excellence, you will build and scale a shared delivery model that accelerates production analytics and AI/ML capabilities tied to measurable business outcomes. You will own the operating model, talent and capacity strategy, portfolio prioritization, and value realization approach across markets. You will lead end-to-end execution—from opportunity framing through deployment, monitoring, and adoption—while partnering closely with product, technology, and business stakeholders. You will embed governance, model risk readiness, and responsible AI practices into how work gets done so solutions are validation- and audit-ready by design. 

Job responsibilities

• Define and continuously improve the Data and AI Center of Excellence operating model, including service catalog, delivery standards, reusable assets, and engagement approach
• Establish portfolio intake, prioritization, and sequencing with transparent criteria (value, feasibility, risk, time-to-impact, reusability)
• Lead end-to-end AI/ML productization, including data readiness, development, validation readiness, deployment into workflows, and ongoing monitoring
• Drive adoption by partnering with stakeholders to embed solutions into business processes and decision journeys
• Build a benefits realization approach with clear KPIs, measurement methods, and realized value tracking across revenue, cost, risk, and controls
• Influence and align matrixed teams across data science, analytics, engineering, product, and run-the-business partners to deliver at pace
• Embed governance across the lifecycle, including privacy-by-design, security-by-design, responsible AI practices, and audit-ready documentation
• Coordinate run-state ownership for monitoring, change management, and continuous improvement of production AI/ML solutions

Required qualifications, capabilities, and skills

• Demonstrated director-level leadership in data and analytics, AI/ML, decision science, or a related discipline within a matrixed enterprise environment
• Proven end-to-end delivery of production AI/ML solutions, including deployment, monitoring, and sustained adoption
• Demonstrated ability to quantify impact through KPI definition, attribution/measurement approach, and realized outcomes tracking
• Proven ability to lead large, multi-disciplinary teams across geographies and influence outcomes without direct authority
• Working knowledge of governance and controls relevant to AI/ML delivery (model risk concepts, privacy, security, change control, documentation expectations)
• Strong executive communication skills, including the ability to drive alignment and decisions with senior stakeholders

Preferred qualifications, capabilities, and skills

• Experience building, scaling, or operating a Data and AI Center of Excellence (or comparable shared delivery model)
• Domain exposure adjacent to connected commerce (e.g., digital commerce, payments, customer engagement, marketing decisioning, platform products, operational decisioning)
• Experience delivering across multiple markets with differing regulatory and data expectations
• Familiarity with production observability and data publishing practices (release management, monitoring, incident response, retraining triggers)

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 for more information about requesting an accommodation.

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.