8+ years product managementEnterprise data platforms / productsData warehousing (Snowflake)BI & analytics ecosystemsAI / ML product integrationAPIs & semantic layersData governance & complianceMulti-domain stakeholder managementProduct roadmap & strategyQlik / Power BIRegulated / supply chain industryContinuous improvement (DBS / Lean)
Job Description
Senior Product Manager role at Cytiva (Danaher company) responsible for developing and owning enterprise data and AI products. The position involves defining data product strategy and multi-year roadmaps, translating business needs into scalable digital solutions, partnering with cross-functional teams, managing vendor relationships, and ensuring governance and compliance. Requires 8+ years of product management experience with focus on data, analytics, or AI products, and strong understanding of data warehousing, BI ecosystems, and ML integration.
Senior Product Manager, Data Products
Cytiva (a Danaher operating company)
At Cytiva, our work saves lives. We are united by a shared commitment to innovate for tangible impact within life sciences, diagnostics, and biotechnology. Working at Cytiva means being at the forefront of providing new solutions to transform human health, supporting customers in fundamental biological research, vaccine development, new medicines, and cell and gene therapies.
This role reports to the Director, Product Management - Data Products and sits within the Digital Data & AI team. It is an onsite position.
What You Will Do
Product Strategy & Vision
•Define and lead enterprise data product vision, strategy, and multi-year roadmaps for a dedicated business area
•Translate ambiguous business challenges into clear, scalable product opportunities
•Drive adoption of outcome-based prioritisation and product frameworks
•Align product strategy with business value, regulatory needs, and enterprise capabilities
Enterprise Data Product Ownership
•Own and evolve end-to-end data products, including datasets, semantic layers, APIs, and AI-enabled capabilities
•Ensure products are scalable, reusable, governed, and aligned to enterprise standards
•Drive transition from reporting and pipelines to durable data products
•Promote best practices for data quality, lineage, and documentation
Cross-Domain Leadership & Delivery
•Partner with engineering, data, analytics, and AI teams to deliver high-value outcomes
•Remove delivery impediments and ensure alignment to value, scope, and timelines
•Promote warehouse-first and scalable architecture patterns
AI & Advanced Analytics Integration
•Define how AI/ML capabilities integrate into enterprise data products
Stakeholder Leadership & Influence
•Partner with senior stakeholders to align on strategy, priorities, and investment decisions
•Act as a trusted advisor across key business areas, IT, and leadership teams
•Simplify complex topics into clear, actionable decisions
•Represent Cytiva in appropriate external forums, partnerships, and industry initiatives
•Foster a culture of ownership, accountability, and continuous improvement
Governance, Risk & Vendor Management
•Lead evaluation and onboarding of external vendors and SaaS solutions when pursuing a buy strategy
•Ensure compliance with data governance, security, and privacy standards for all data products
•Act decisively to mitigate technical, commercial, and reputational risks
Who You Are
•Experienced strategic product professional with ability to deliver at scale
•Strong in both business and technical domains, bridging effectively between them
•Comfortable operating in ambiguity and complexity
•Data-driven, outcome-focused, and highly pragmatic
Required Qualifications
•8+ years of experience in Product Management with a focus on data, analytics, or AI products
•Proven experience delivering enterprise-scale data platforms or products
•Strong understanding of data warehousing (e.g. Snowflake)
•Strong understanding of Business Intelligence and analytics ecosystems
•Strong understanding of AI/ML integration into products
•Experience working across multiple business domains and complex stakeholders
•Demonstrated ability to drive product-led transformation
Preferred Qualifications
•Experience in sustainability, supply chain, or regulated industries
•Familiarity with Qlik, Power BI, or similar BI tools
•Experience working with APIs, semantic layers, and modern data architectures
•Exposure to Danaher Business System (DBS) or similar continuous improvement frameworks
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