Senior Product Manager, Data

b Overview /b p Join Cognism to own data products end to end, turning customer problems into buildable offerings that drive value. You’ll steer strategy, define data-based solutions, and ensure high-quality assets with measurable impact. Collaborate across data, engineering, and commercial teams to align product decisions with customer outcomes. This role offers a chance to shape market-leading data products in a fast-growing environment. /p b Responsibilities /b ul li Own the end-to-end product development cycle for data products from discovery to launch and iteration /li li Define requirements, priorities, and scope decisions to constrain what the product should and should not do /li li Collaborate with data engineering and data science to deliver high-quality data assets across CRMs, APIs, and agentic systems /li li Anchor product decisions in customer use cases and commercial outcomes /li li Set up success metrics and KPIs upfront and continuously measure outcomes to inform iterations /li li Shape packaging and pricing in collaboration with commercial teams to align with how customers buy and perceive value /li li Convert customer needs into clear data requirements for engineering and data teams /li li Validate value creation with customers and gather feedback to drive product direction /li li Own data quality and governance, ensuring data accuracy, freshness, coverage, and trust /li li Work with compliance and security experts to build governance and security in by design /li li Manage cross-functional dependencies and keep senior stakeholders informed of roadmap trade-offs and risks /li li Maintain market awareness to sharpen products and differentiate Cognism’s data offerings /li li Build alignment across Engineering, Data Science, Sales, CS, Commercial, and Compliance /li /ul b Key requirements /b ul li 5+ years in product roles with direct ownership of data products or data-driven features in B2B SaaS or tech /li li Ability to define and own data use cases mapping segments, workflows, and outcomes to a product direction /li li Experience setting product strategy for an owned area and making prioritization decisions /li li Direct experience treating data as a product including defining offerings and market impact /li li Commercially minded with understanding of customer buying drivers and value /li li Track record of customer discovery through interviews, research, or feedback loops /li li Technical fluency to work credibly with engineering and data teams /li li Hands-on experience building ML-driven data features including model enrichment and signals /li li Strong cross-functional collaboration with product, engineering, and commercial teams /li li Clear communication to simplify complex data propositions for customers /li li Capacity to work with compliance and security teams to embed governance by design /li /ul ul li cross-functional collaboration /li li customer-centric mindset /li li clear communication /li li ML-driven data features understanding of models, enrichment, and signals /li li data governance and GDPR compliance /li li data quality metrics and evaluation frameworks /li /ul