Senior Director, AI and Data Product Management – Data Cloud

Workday•Pleasanton, CA

3d•Hybrid

About The Position

The Data Cloud organization is at the forefront of Workday’s next major wave of innovation, driven by a bold mandate to build the industry’s first true Platform for Agents. We are a high-energy, ambitious team that balances Workday's deep foundational expertise with fresh, forward-thinking perspectives to accelerate our pace of delivery and unlock massive new commercial value. By leveraging Workday’s unique business context, trusted data, and identity guardrails, we are building the critical engine that will power the future of AI and agentic workflows across the enterprise. As a team, we value organizational clarity, deep cross-functional collaboration, and rapid execution, working together to evolve our architecture and aggressively scale our impact in the market. The Data Cloud organization is seeking a visionary product leader to serve as the Senior Director, AI and Data PM. This individual will sit at the critical intersection of generative AI, enterprise data, and autonomous workflows. You will be responsible for defining how advanced agentic capabilities natively consume and interact with Workday’s Data Cloud, ensuring our platform is the premier destination for building and deploying trusted, enterprise-grade AI agents.

Requirements

10+ years of experience in product management, AI/ML strategy, data platforms, technology, or equivalent
BA, BS, or equivalent degree in Computer Science, Cognitive Science, Business, or a related field
Deep experience in an enterprise SaaS environment with a strong focus on platform ecosystems
Generative AI, LLM evaluation, or agentic framework (MCP) focused experience, or experience working closely with applied AI and cross-functional ML teams
Demonstrated experience in gathering complex technical requirements and defining API toolkits or skills for autonomous workflows
Ability to collaborate across teams to create strategic storyboards, go-to-market narratives, and quarterly board materials for relevant parties
Ability to learn quickly within a fast-paced team, including highly technical topics such as AI trust frameworks and data security protocols
Ability to handle interpersonal relationships with a high degree of emotional intelligence and self-awareness

Responsibilities

Define the product vision and capabilities required to support both analytical agents (conversational reasoning over data) and operational agents (secure, multi-step actions and state changes) on the Data Cloud.
Partner closely with internal Workday application teams, first-party AI developers, and key enterprise customers to deeply understand and capture the data, semantic, and routing requirements necessary to power next-generation agents.
Bridge the gap between AI research and commercial reality, ensuring new agentic capabilities directly drive adoption, continuous compute consumption, and value realization for our premium Data Cloud offerings.
Lead the product definition for Model Context Protocol (MCP) toolkits and skills natively hosted within the Data Cloud, empowering agents to dynamically discover and execute authorized enterprise tasks.
Design the product guardrails for operational agents, defining how multi-step transactions, staging states, and native rollbacks are securely orchestrated back into the core Workday ecosystem.
Ensure that all AI tools, semantic models, and routing rules are engine-agnostic and consumable via standard APIs, fueling a robust 1P and 3P developer ecosystem.
Establish and own the rigorous LLM and agent evaluation (eval) frameworks for the Data Cloud. Define the metrics for accuracy, deterministic grounding, and hallucination mitigation.
Ensure all AI capabilities adhere to Workday’s sacrosanct dimensions of engine readiness: Performance, Coverage, Correctness, and Security.
Drive product requirements for AI telemetry and trust layers, ensuring every reasoning path and automated state change generates an immutable audit trail for enterprise financial and HR compliance.
Act as the primary connective tissue between Data Cloud engineering, specialized AI/ML teams, and Workday's broader product organization to ensure seamless platform integration.
Maintain a deep understanding of the rapidly evolving AI landscape, evaluating emerging frameworks, orchestration layers, and competitive platforms to keep Workday’s Data Cloud strategy steps ahead of the market.
Translate complex AI/ML platform capabilities into clear, compelling narratives for executive leadership, go-to-market teams, and industry analysts.