Senior Director, AI and Data Product Management – Data Cloud

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it.

Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.

In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

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.

As the Senior Director of AI and Data Product Management, you will own the product strategy, roadmap, and execution for agentic workloads within the Data Cloud. You will translate complex AI use cases into robust data platform requirements, define the toolkits that empower autonomous action, and establish the trust and evaluation frameworks necessary to deploy AI securely at an enterprise scale.

Platform for Agents

Roadmap:

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.

Agent Requirements Gathering:
Partner closely with internal Workday application teams, first-part AI developers, and key enterprise customers to deeply understand and capture the data, semantic, and routing requirements necessary to power next-generation agents.

Use-Case Commercialization:
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.

Define Action Schemas:
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.

The Secure Write-Path:
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.

API & Framework 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.

Align Eval Frameworks:
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.

Performance & Security Gating:
Ensure all AI capabilities adhere to Workday’s sacrosanct dimensions of engine readiness:
Performance,…