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About the Role

As a Head of AI & Data Science in the HR Data & Analytics team, you will lead a group of data scientists to transform workforce data into actionable insights and recommendations for business leaders. You will set the technical agenda, direct research lifecycles, and manage build, reuse, or partner decisions across a global team, aiming to create an AI-native operating environment to accelerate AI development and delivery.

Responsibilities

Act as the hands-on leader of a team that delivers commercial outcomes using AI and machine learning solutions across people-focused product areas.
Direct the full research lifecycle, from framing problems and generating hypotheses through experiments, prototypes, and results that reach production.
Develop model factories and a high-bandwidth evaluation factory that create, calibrate, and improve models and agents against product benchmarks.
Advance agentic, specification-driven, and evaluation-driven development, including multi-agent orchestration deployed responsibly in a regulated environment.
Translate models into insights that help reduce costs, expand capabilities, strengthen controls, and improve employee experiences.
Promote reuse and partnership of techniques across the firm, and adopt vendor solutions where they add value.
Partner with technology teams to architect scalable, cost-effective, enterprise-quality data and analytics systems, including self-service platforms.
Align and prioritize research and development resources against the products that matter most and their measurable business impact.
Communicate the significance of the team's work to senior leaders, and pursue patents or publications where warranted.
Ensure conformance with all applicable controls, policies, and procedures.

Requirements

Significant experience in AI and Data Science.
Demonstrated success managing and leading teams.
Hands-on experience with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration.
Practical experience with statistical data analysis and experimental design.
Practical software development experience in collaborative settings.
Excellent communication skills and strong executive presence, with credibility as a thought leader and influencer.
Strong project management skills that drive execution and delivery.

Skills

AI and machine learning algorithms, techniques, and software
Agentic engineering
Statistical data analysis
Experimental design
Software development
Communication skills
Executive presence
Thought leadership
Influencing
Project management
Automated model-development pipelines
Model-evaluation pipelines
Building partnerships
Self-service analytics platforms

Experience Level

Significant experience in AI and Data Science

Education Level

Master's degree or PhD in a quantitative discipline

About the Company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
Our first-class business in a first-class way approach to serving clients drives everything we do.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing.
Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Equal Opportunity

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.