Senior Director, AI and Data Product Management – Data Cloud

Posted 5 Days Ago
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Pleasanton, CA, USA
In-Office
220K-408K Annually
Senior level
Cloud • Fintech • HR Tech
The Role
Lead product strategy and execution for agentic workloads on the Data Cloud. Define MCP toolkits, action schemas, secure write-paths, APIs, and evaluation/trust frameworks for LLMs and autonomous agents. Drive commercialization, cross-functional integration, and executive storytelling to ensure enterprise-grade performance, security, and auditability.
Summary Generated by Built In

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.

About the Team

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.

About the Role

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.

Agentic Strategy & Vision

  • 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-party 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.

MCP Toolkits & Skill Orchestration

  • 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.

Evaluation Frameworks & AI Trust

  • 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, Coverage, Correctness, and Security.

  • Immutable Auditability: 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.

Cross-Functional Leadership

  • AI & Data Synergy: 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.

  • Market & Competitive Pulse: 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.

  • Executive Storytelling: Translate complex AI/ML platform capabilities into clear, compelling narratives for executive leadership, go-to-market teams, and industry analysts.

About You

Basic Qualifications:

  • 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

Other Qualifications:

  • 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


Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton


 

Primary Location Base Pay Range: $272,000 USD - $408,000 USD


 

Additional US Location(s) Base Pay Range: $220,400 USD - $408,000 USD


Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.


Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.


Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.


If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.


Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Skills Required

  • 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) experience, or experience working closely with applied AI and ML teams
  • Experience gathering complex technical requirements and defining API toolkits or skills for autonomous workflows
  • Ability to create strategic storyboards, go-to-market narratives, and executive/board materials
  • Knowledge of AI trust frameworks, telemetry, and data security protocols
  • High emotional intelligence and strong cross-functional collaboration skills

Workday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.

  • Healthcare Strength Health coverage is positioned as broad and well-supported, with multiple medical carrier options, virtual care access, and some locations offering onsite clinic/pharmacy services. Mental health support is described as notably strong, including therapy sessions and confidential support availability for household members.
  • Parental & Family Support Family-related benefits are portrayed as extensive, including paid bonding and caregiver leave alongside fertility, adoption, and surrogacy reimbursement. Added support like parenting resources, milk-shipping/lactation assistance during travel, and backup child/elder care is explicitly outlined.
  • Strong & Reliable Incentives Equity participation and savings-oriented programs are presented as meaningful components of total rewards, including an ESPP discount with a lookback feature. Additional programs like a student-loan pathway to earn the 401(k) match are included as financial-support enhancements.

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The Company
HQ: Pleasanton, CA
14,894 Employees
Year Founded: 2005

What We Do

Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

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