
10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
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10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
• Lead the enterprise Data Governance, FAIR, and data product strategy and roadmap • Establish a value-realization framework measuring business outcomes, adoption, and return on investment • Execute the Enterprise Data Strategy, including data ownership, reusable data products, lifecycle management, data contracts, and adoption measures • Evolve a federated governance operating model with decision rights, ownership, stewardship, councils, standards, and escalation paths • Advance FAIR maturity through lifecycle practices, metadata standards, persistent identifiers, controlled vocabularies, and access patterns • Advance active metadata, data catalog, lineage, business glossary, semantic, and knowledge graph capabilities • Set governance policies and controls for quality, observability, privacy, security, retention, and responsible use • Partner with architecture, engineering, digital, security, privacy, legal, and business teams to operationalize governed data products • Define and enforce data readiness criteria to enable responsible AI • Serve as data engagement lead for an assigned business function and drive adoption of data management practices • Manage large-scale data programs, cross-functional initiatives, and external partners • Communicate outcomes, risks, dependencies, and value realization to senior leadership
• Associate degree and 10 years of Data Management, Information Systems, or related experience, or higher degree with fewer years of experience • Experience in the biotechnology or pharmaceutical industry • Understanding of regulated data, business processes, and compliance requirements • Demonstrated leadership of enterprise data governance, data management, active metadata, data quality, or data product initiatives • Hands-on understanding of FAIR data principles and practical application through metadata, standards, semantics, interoperability, and access controls • Experience establishing data governance operating models, including ownership, stewardship, policy, standards, controls, and issue management • Strong stakeholder management, communication, and influencing skills • Experience implementing enterprise data strategy, scaling FAIR, data products operating model, and data contracts preferred • Knowledge of active metadata, data observability, lineage, ontologies, knowledge graphs, and policy-as-code preferred • Experience with Collibra, Databricks Unity Catalog, Reltio, SciBite, or TopQuadrant preferred • Experience enabling responsible AI and data readiness for machine learning, generative AI, RAG, and AI agent use cases preferred • Ability to define measurable outcomes for data investments preferred • Experience managing external partners and geographically distributed delivery teams preferred
• Health and welfare plans for staff and eligible dependents • Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance support
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