Principal Product Manager, Enterprise Applications

About the Role Principal Product Manager will own the vision, strategy, roadmap, and outcomes for enterprise productivity and collaboration capabilities across Workday. You will lead transformative initiatives within a complex internal ecosystem and translate employee and business needs into scalable, secure product experiences that advance Workday’s strategic goals. This role requires strong product strategy, enterprise technology expertise, executive influence, customer empathy, data-driven decision-making, and AI fluency. What You'll Do

• Establish and own a compelling product vision and strategic roadmap aligned to Workday’s corporate vision, business-unit priorities, cross-company initiatives and product maturity.
• Lead strategic engagements with business stakeholders to understand priorities, define problems, build alignment, and develop business cases and ROI models for roadmap investments.
• Define and measure product success through adoption, usage, employee experience, operational efficiency, reliability, cost, risk, and other relevant KPIs.
• Serve as the voice of the customer for employees and business stakeholders, conducting regular strategic engagements to understand user priorities, pain points, and improvement opportunities.
• Leverage AI-powered tools and product analytics to synthesize employee feedback, usage data, market trends into clear problem definitions, product opportunities, and value hypotheses.
• Prioritize product features, technical issue resolution, technical debt reduction, and vendor capabilities based on business value, user impact, risk, feasibility, and highest organizational impact.
• Translate strategic initiatives into clear product requirements, user stories, acceptance criteria, release plans, and measurable outcomes for globally distributed engineering and Scrum teams.
• Partner with Delivery Managers, Domain Architects, engineering leaders, and other cross-functional partners to drive discovery, proof-of-concept opportunities, technical solution design, and execution.
• AI and Enterprise Technology Leadership: Maintain current knowledge of modern AI capabilities, limitations, and emerging practices, particularly as they relate to enterprise SaaS products, agents, natural-language interfaces, automated insights, recommendations, and AI-driven analytics. Identify and prioritize practical AI opportunities that create measurable value for Workmates and the business. Evaluate vendor and SaaS AI capabilities critically, distinguishing deployable, value-creating features from marketing claims and ensuring alignment with business needs, enterprise data, security, privacy, compliance, and architecture requirements.
• Cross-Functional Influence and Operational Excellence: Build strong, trusted relationships and influence without direct authority to drive clarity, alignment, accountability, and shared outcomes across a broad stakeholder community. Navigate and contribute to enterprise governance processes, including security reviews, legal and privacy approvals, architecture governance, procurement, vendor management, and budget or spending oversight where applicable. What We're Looking For
• 12+ years of product management, program management, or related experience delivering enterprise applications or digital products.
• 5+ years of experience owning product vision, strategy, and roadmaps.
• Strong combination of product strategy, enterprise technology expertise, executive influence, customer empathy, data-driven decision-making, and AI fluency.
• Ability to monetize and measure impact by translating strategic initiatives into clear product requirements, user stories, acceptance criteria, release plans, and measurable outcomes for globally distributed teams.
• Experience with AI capabilities in enterprise SaaS, including natural-language interfaces, automated insights, recommendations, and AI-driven analytics.
• Knowledge of enterprise governance processes (security reviews, legal/privacy approvals, architecture governance, procurement, vendor management, budget oversight).
• Excellent cross-functional collaboration and stakeholder management, including with Delivery Managers, Domain Architects, engineering leaders, security, legal, and procurement.
• Ability to influence without direct authority and build trusted relationships across a broad stakeholder community.
• Experience working with distributed, Scrum-based engineering teams and driving end-to-end product delivery. Nice to Have
• Experience evaluating vendor and SaaS AI capabilities, distinguishing deployable, value-creating features from marketing claims.
• Prior exposure to enterprise AI initiatives, agents, and AI-driven analytics within SaaS contexts.