Data Scientist Director

Ready to turn AI into real-world impact at enterprise scale In this role youll shape how analytics and AI/ML are deliveredbuilding a repeatable model that accelerates high-impact solutions from idea to production. Youll grow your leadership footprint through cross-functional partnership portfolio ownership and visibility with senior stakeholders across markets.
Youll 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 executionfrom opportunity framing through deployment monitoring and adoptionwhile 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)