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Senior Director, Data and AI

Fa Exhh Saasfaprod1

Framingham, MA, United States3w ago

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Skills

agileartificial intelligencecloud computingcontract negotiationdata qualityenterprise architecturegenerative aimachine learningmerchandisingperformance managementproduct managementproduct strategyprogram managementsupply chain

About the role

Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

The Senior Director, Data Product and AI Delivery defines and executes the enterprise strategy, operating model, portfolio, and delivery roadmap for data products, data platforms, artificial intelligence, and data-driven transformation. This leader converts business priorities into scalable, secure, governed, and adopted data and AI solutions that improve decisions, automate work, strengthen customer and partner experiences, and deliver measurable value. The role leads a strategically important, business-critical function through Directors, Senior Managers, and Managers, with accountability for portfolio governance, responsible AI, platform modernization, resource allocation, investment planning, and production delivery.

What you’ll be doing:

• Define and execute the enterprise strategy and multi-year roadmap for data products, data platforms, machine learning, generative AI, advanced analytics, and intelligent automation.

• Translate business priorities into product portfolios, investment plans, operating objectives, delivery roadmaps, and measurable outcomes.

• Own the data and AI product lifecycle from intake and prioritization through funding, delivery, adoption, optimization, and retirement.

• Prioritize investments based on strategic alignment, business value, customer impact, feasibility, risk, readiness, and total cost of ownership.

• Translate AI strategy into production-ready applications for Supply Chain, Marketplace, and other business workflows.

• Partner with business, Product, Engineering, Architecture, Security, Legal, Privacy, Risk, and Finance leaders to deliver scalable solutions.