Director - Data Science and AI/ML

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)

 

Experience Level

Executive Level