Applied AI/ML Modeling - Executive Director

Job Description

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness. As an Applied AI Modeling Executive Director, you will lead a team of AI/ML scientists who build advanced geospatial, graph-based, and network optimization models that shape Chase's branch network strategy – where to open, relocate, or reformat branches. Your success will be measured not only by technical sophistication but also by earning the trust of senior leaders and changing how decisions are made.

Job Responsibilities

• Build and lead a high-performing team of AI/ML scientists focused on geospatial and graph-based AI modeling in support of Chase's branch network, providing development plans, structured growth opportunities, and visibility to senior stakeholders.
• Partner with Real Estate, Finance, and Market Strategy stakeholders to understand their decision‑making processes and enable them to draw maximum benefit from AI/ML models.
• Collaborate closely with Product, Data, and Engineering teams to translate modeling innovations into scalable, production‑ready solutions.
• Lead emerging AI talent in research and adoption of cutting‑edge techniques, balancing methodological rigor, speed to market, and practical business impact.
• Establish best practices for geospatial model development and cloud‑native deployment, ensuring compliance with governance and regulatory expectations.
• Oversee rigorous validation, documentation, and monitoring of models, proactively identifying risks and ensuring adherence to internal and external standards while coaching the team toward future leadership roles.

Required Qualifications, Capabilities, and Skills

• Advanced degree (master’s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.
• 10+ years of hands‑on experience developing and deploying advanced AI/ML models, with 5+ years in a technical leadership or people‑management role.
• Documented expertise in one or more of the following: geospatial analytics and spatial statistics, graph neural networks and network science, optimization and operations research, or advanced machine learning methods applied to location strategy or network design problems.
• Exceptional communication skills and high emotional intelligence, with the ability to translate technical complexity into business language and earn stakeholders’ trust.
• Demonstrated leadership in building and mentoring high‑performing technical teams.
• Rigorous statistical thinking, including the ability to interrogate a model’s assumptions, defend its methodology under scrutiny from quantitative and non‑quantitative audiences alike, and anticipate its behavior under different scenarios.

Preferred Qualifications, Capabilities, and Skills

• Hold a PhD in a relevant discipline.
• Experience with geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS) and/or graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX).
• Experience with geospatial data and tooling including, but not limited to: ArcGIS, Carto, Wherobots, or QGIS.
• Experience with facility location problems, trade area modeling, network design, or spatial optimization in retail, logistics, real estate, or financial services.
• Contributions to applied research in geospatial AI, graph ML, network optimization, or spatial statistics through publications, patents, or industry presentations.
• Background in financial services, consumer banking, or a regulated industry with model risk management expectations.
• Experience managing stakeholder relationships with non‑technical senior leaders in functions such as Real Estate, Finance, or Strategy.

Benefits

We offer a competitive total rewards package including base salary, commission‑based pay, discretionary incentive compensation, and benefits such as 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.

Equal Opportunity Employer / Disability / Veterans

We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, 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. Please visit our FAQs for more information about requesting an accommodation.

About The Team

Our Consumer & Community Banking division serves 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.

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