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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director, AI and Data Product Management - Data Cloud - **Company:** Workday, Inc. - **Location:** Pleasanton, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $272,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Cloud Computing, Cloud Engineering, Cognitive Science, Routing, Software Product Management, Azure Machine Learning, Software Engineering, Large Language Models, Generative AI, Agentic-AI, Information Technology, Evaluation of Large Language Models, Cloud Optimization, Model Context Protocol, Workday - **Published:** September 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9205804/senior-director-ai-and-data-product-management-data-cloud ## About the Role * 10+ years of experience in technical product management, data platform strategy, or software engineering, including 8+ years leadership of cross-functional or engineering teams * 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 ## Description 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. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [The Human API: Designing Organizations for Judgment, Not Just Execution](https://www.wearedevelopers.com/videos/100213-the-human-api-designing-organizations-for-judgment-not-just-execution) - [WeAreDevelopers LIVE - How DevRel Makes Tech More Human](https://www.wearedevelopers.com/videos/2149-wearedevelopers-live-how-devrel-makes-tech-more-human) - [A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network](https://www.wearedevelopers.com/videos/15-a-technical-introduction-to-bitcoin-s-2nd-layer-the-lightning-network) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)