Principal HR Product Manager, Workforce Intelligence
Role Summary
We are building a modern, AI-enabled HR organization where data and intelligence are embedded into every product, workflow, and decision. The Principal Product Manager, Workforce Intelligence is responsible for defining the vision and driving the strategy for how HR data is structured, governed, analyzed, and delivered across the enterprise.
Key Responsibilities
Define the product strategy for the underlying data infrastructure that makes all HR analytics trustworthy and scalable.
Ensure alignment on system integrations between HR platforms, ensuring data consistency and reliability.
Lead the strategy and evaluation process for the reporting platform infrastructure.
Define foundational HR metrics and set the product direction for operational reporting cadences.
Define and advocate for a delivery model that scales analytical capacity across the HR organization.
Lead the vision for how AI and predictive modeling transform the way HR operates and how people decisions are made across the company.
Define product requirements and business outcomes for AI-powered decision support tools.
Champion the integration of AI capabilities into existing HR workflows.
Act as a translator between the business and technical teams.
Qualifications
10+ years in product management, data products, or analytics.
Proven ability to influence and drive alignment across engineering, analytics, and business teams.
Strong analytical fluency, including comfort with data architecture concepts, metrics frameworks, semantic layers, and model-driven products.
Experience partnering with both technical teams and business stakeholders.
Experience building and scaling data platforms, analytics products, or AI-enabled tools in an enterprise environment.
Background in HR technology, people analytics, or workforce intelligence.
Familiarity with HCM platforms, data governance practices, and analytics semantic layer concepts.
Experience applying responsible AI principles, including bias assessment, model explainability, and data privacy in a people data context.
Experience working in or closely with HR functional domains such as Talent Acquisition, Talent Management, or Total Rewards Compensation.