Senior Product Manager, Data Foundry

Overview

As Senior Product Manager, Data Foundry, you own the vision and roadmap for Beamery’s proprietary data platform that powers Talent CRM and Workforce Suite. You balance internal data contracts with customer-facing product needs, enabling data-as-a-service through MCP and API channels. You collaborate with data science, data engineering, and integrations teams to deliver value for customers and drive commercial impact. This role sits at the intersection of platform and product, shaping how data enables smarter workforce decisions.

Responsibilities

• Own Data Foundry vision, strategy and roadmap aligned to Beamery’s objectives
• Align Data Foundry with Beamery’s AI strategy and determine internal vs. customer-facing offerings
• Decide on internal infrastructure versus customer-facing packaging; make build vs. buy decisions across integrations, analytics, AI and taxonomy
• Discover external customer needs for data-as-a-service and drive adoption with GTM and enablement plans
• Build the case for Data Foundry as a standalone commercial channel and measure value and usage
• Lead cross-functional team delivery to create customer value and measurable outcomes
• Agree data contracts with Talent CRM and Workforce Suite teams; translate tribe needs into deliverables
• Prioritize across data science, data engineering, and integrations engineering with a clear plan
• Communicate priorities and progress; manage customer and sales expectations
• Own data governance, security, and access control for APIs and MCP; ensure model outputs are explainable and trustworthy

Key requirements

• 6+ years in complex technical, data or AI products, with enterprise B2B SaaS experience
• Strong grasp of data platforms, APIs and integrations; able to make architecture-adjacent decisions
• Experience handling sensitive or regulated data with governance, security and privacy focus
• Analytical mindset using data to identify opportunities, prioritise and measure success
• Commercial fluency; experience with early-stage products and linking decisions to revenue and ROI
• Clear communicator; able to build trust across product, data science and engineering; able to take and explain a position
• Experience delivering AI capabilities and understanding its impact on the talent/workforce space

• analytical thinker
• data-driven decision making
• clear communicator
• data platforms
• APIs
• integrations engineering

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