Sr Director AI Product & Strategy

Intuitive•Sunnyvale, CA

About The Position

We are seeking a Senior Director, AI Product & Strategy to define and drive the company’s enterprise AI agenda. This leader will operate at the intersection of business strategy, product management, and applied AI, translating a rapidly evolving technology landscape into clear, actionable business outcomes. This is a highly visible, externally aware role that partners closely with enterprise business leaders and business-facing teams to identify, shape, and prioritize AI-driven opportunities. A core responsibility of this role is to bridge the gap between business intent and technical execution—ensuring that AI initiatives are well-defined, feasible, and positioned to deliver measurable impact. In addition, this role will play a key part in building AI product management capabilities in the organization, elevating how business needs are translated into scalable AI solutions.

Requirements

12+ years of experience in product management, strategy, or enterprise technology leadership, with a strong focus on data and AI
Bachelor's degree in a relevant field (Computer Science, Information Systems, Business, Law, Data Management, or equivalent). Advanced degree preferred
Hands-on experience with building and deploying AI products to production.
Proven experience working with enterprise business functions to drive transformation through technology
Demonstrated success in translating business problems into scalable AI product/ technology solutions
Experience influencing executive stakeholders and shaping enterprise strategy
Strong understanding of Machine learning and advanced analytics
Strong understanding of Generative AI (LLMs, copilots, agent-based systems)
Strong understanding of Enterprise data platforms and AI architectures
Ability to translate business needs into clear AI solution requirements
Ability to distinguish between feasible, scalable solutions and experimental or low- impact ideas
Comfortable engaging deeply with Data Science and Engineering teams without being hands-on
Exceptional ability to translate complex AI concepts into clear, business-relevant language
Strong executive presence with the ability to influence and align senior stakeholders
Demonstrated ability to operate in ambiguous, fast-moving environments and drive clarity
Proven ability to lead cross-functional initiatives and build consensus across diverse teams

Nice To Haves

Advanced degree preferred

Responsibilities

Partner with the VP, Data, Analytics & Enterprise AI to define and evolve the enterprise AI strategy aligned with company priorities
Develop a forward-looking point of view on AI, including generative AI, agentic systems, automation, and advanced analytics
Stay current on rapidly emerging technologies, tools, and market trends, and translate them into clear strategic direction for the company
Provide thought leadership to executive stakeholders, synthesizing complex developments into actionable insights
Serve as a strategic partner to enterprise business leaders across Enterprise Business Functions.
Lead structured conversations to identify manual, inefficient, and high-friction workflows and reimagine them using AI, automation, and advanced analytics
Collaborate with business-facing teams in Data & Analytics and Business Applications to articulate the art of the possible, bring credibility to conversations, and identify and define high-impact AI use cases
Build and maintain a pipeline of prioritized AI opportunities aligned to measurable business value
Lead the translation of business-level problem statements into clear AI product and solution definitions
Work closely with business-facing teams to convert use cases into structured requirements, user journeys, and success metrics, and define data needs, model expectations, and operational workflows
Partner with AI Engineering and Data Science teams to ensure requirements are feasible, well-scoped, and aligned with technical realities, and that solutions are designed for scalability, maintainability, and enterprise integration
Act as the bridge between business stakeholders / business facing portfolio teams and technical teams, ensuring clarity, alignment, and shared ownership
Define and guide the enterprise AI product and use case portfolio, ensuring alignment with strategic priorities
Establish frameworks for use case prioritization, balancing business impact, feasibility, and scalability
Drive clarity on what should be built, why it matters, and how success will be measured
Ensure AI initiatives are delivered as products (not one-off projects) with clear ownership, lifecycle management, and value tracking
Communicate AI strategy, priorities, and progress to senior leadership and the executive committee with clarity and conviction
Build alignment by articulating business value and ROI, and trade-offs, risks, and dependencies
Distinguish between high-impact opportunities and low-value or overhyped initiatives
Serve as a trusted advisor to leadership on AI investments and direction
Bring depth in AI/ML to evaluate solution approaches and architectures, challenge assumptions and guide teams toward practical, high-impact implementations
Ensure alignment with enterprise data strategy, architecture, and governance
Help define guardrails for responsible, ethical, and secure use of AI
Build and develop AI product management capabilities within business-facing teams.
Establish best practices for translating business needs into AI requirements, structuring use cases and defining success metrics, and managing AI initiatives as products
Coach and mentor teams to improve their ability to engage effectively with Data Science and Engineering and drive clarity and discipline in AI solution definition