Applied AI/ML Modeling - Executive Director

Testing Site - JPMC; New York (NY); On-site; USD 200,000 - 280,000; Full time

Job summary

JPMorgan Chase's Branch Network Modeling team develops advanced analytics and ML solutions to inform branch strategy and field workforce decisions.

As an Applied AI Modeling Executive Director, you lead a team of AI/ML scientists building geospatial and graph-based models that guide where to open, relocate, or reformat branches, and you present to senior leaders across Real Estate, Finance, and Market Strategy.

Success is measured by the trust your models earn and their real business impact.

Qualifications

• Advanced degree in a quantitative or spatial field.
• 10+ years in developing and deploying advanced AI/ML models, with 5+ years in a technical leadership role.
• Expertise in geospatial analytics, graph ML, optimization, or spatial statistics.
• Strong communication and stakeholder management to translate complexity for senior leaders.

Responsibilities

• Build and lead a high-performing AI/ML team focused on geospatial and graph AI.
• Partner with Real Estate, Finance, and Market Strategy to align decisions.
• Translate modeling innovations into scalable, production-ready solutions.
• Lead talent in research and adoption of cutting-edge AI techniques.
• Establish best practices for geospatial model development and cloud deployment.
• Oversee validation, documentation, and monitoring of models.

Skills

Leadership

AI/ML leadership

Communication

Stakeholder management

Geospatial analytics

Education

Master's or PhD in quantitative/spatial field

Tools

GeoPandas

PySAL

H3

Esri/ArcGIS

PyTorch Geometric

DGL

NetworkX

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 anApplied AI Modeling Executive DirectorinBranch Network Modeling team, you lead a team of AI/ML scientists who build advanced geospatial, graph-based, andnetworkoptimization models that directly shape Chase's branch network strategy, includingwhereto open, relocate, or reformat branches.You will be the face of your team's models in high-stakes conversations with senior leaders across Real Estate, Finance, and Market Strategy, as well aswithGovernance and Compliancestakeholders.Your success will be measured not only by the technical sophistication of your models, but by whether those models earn the trust of the business and change how decisionsaremade.

Job responsibilities

• Build andleada high-performing team of AI/ML scientists focused on geospatialandgraph-basedAImodelingin support ofChase's branch network — providing development plans, structured growth opportunities, and visibility to senior stakeholders that position your team members for long-term career success.
• Partner with Real Estate, Finance, and Market Strategy stakeholders to understand their decision-making processes, break down silos between technical and business teams, andenable them todrawmaximum benefitfromAI/ML models.
• Partner closely with Product, Data, and Engineering teams to translate modeling innovations into scalable, production-ready solutions.
• Lead emerging AI talent in research and adoption ofcutting-edgeAI techniques,ensuring the right balance between methodological rigor, speed to market, and practical business impact.
• Establish best practices forgeospatialmodel developmentandcloud-native deployment, ensuring compliance with governance and regulatory expectations.
• Oversee rigorous validation, documentation, and monitoring of models, proactivelyidentifyingrisks and ensuring adherence to internal and external standards while coaching the team to carry these standards into future leadership role

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 experiencein developing and deploying advanced AI/ML models, with 5+ years in a technical leadership orpeople managementrole.
• Documentedexpertisein 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 skillsand high emotional intelligence,with the ability totranslate technical complexity into business languageandearnstakeholders’trust.
• Demonstrated leadershipin building and mentoring high-performing technical teams.
• Rigorous statistical thinking, including the ability tointerrogate a model's assumptions, defend itsmethodologyunder scrutiny from quantitative and non-quantitative audiences alike, andanticipateits 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.,PyTorchGeometric, 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, whether through publications in peer-reviewed journals, 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.