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Senior Manager, Master Data Management & Reference Data

Amgen

Senior Manager, Master Data Management & Reference Data

full-timePosted: Aug 1, 2026Updated: Aug 28, 2026United States - Remote (Remote)

Job Description

Career CategoryInformation SystemsJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Senior Manager, Master Data Management & Reference DataWhat you will doLet’s do this. Let’s change the world. In this vital role you will translate business priorities into scalable data capabilities, establish enterprise data standards, and lead cross-functional delivery across business and technology teams. Amgen is seeking an experienced data management leader with biotechnology or pharmaceutical industry experience to advance enterprise Master Data Management (MDM), Reference Data, and Data Governance capabilities.Experience with Reltio MDM and/or ontology and terminology management platforms, such as SciBite or TopQuadrant, is required.Key ResponsibilitiesServe as the data engagement lead for an assigned business function, applying knowledge of its data, standards, processes, and priorities to deliver measurable data improvements.Co-develop and execute the enterprise MDM and Reference Data roadmaps, aligning capability investments with business priorities and strategic initiatives.Lead MDM and Reference Data initiatives across critical domains, including customer, product, supplier, material, study, and organizational data.Establish governance processes, data standards, stewardship responsibilities, and quality controls to improve the consistency, trust, and reuse of enterprise data.Lead the implementation and enhancement of Reltio MDM capabilities, including data onboarding, matching, survivorship, hierarchy management, workflows, and integrations.Lead the implementation and enhancement of enterprise Reference Data capabilities, including data onboarding, enrichment, workflows, governance, and integrations.Advance semantic and terminology management capabilities using platforms such as SciBite or TopQuadrant to standardize terminology and improve interoperability.Partner with business teams, Data Governance, Architecture, Data Engineering, and other technology groups to deliver scalable, compliant data solutions.Lead internal delivery teams and external partners, communicating progress, risks, decisions, dependencies, and value realization to senior leadership.What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is a experienced data management with these qualifications:Basic Qualifications:Mandatory Skills and QualificationsExperience in the biotechnology or pharmaceutical industry, with an understanding of regulated business processes, data standards, and compliance requirements.Experience with Reltio MDM and/or ontology and terminology management platforms, such as SciBite or TopQuadrant.Experience leading complex, cross-functional data initiatives across business and technology teams.Strong stakeholder management, communication, and influencing skills.Preferred Skills and QualificationsExperience navigating complex stakeholder environments and aligning teams with different priorities.Ability to articulate the business value and measurable outcomes of data management investments.Experience managing external partners and geographically distributed delivery teams.Knowledge of data governance, data quality, metadata management, and FAIR data principles.Basic QualificationsDoctorate degree and 2 years of Information Systems experienceORMaster’s degree and 6 years of Information Systems experienceORBachelor’s degree and 8 years of Information Systems experienceORAssociate degree and 10 years of Information Systems experienceWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental & vision coverage, and life & disability insuranceA discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plansFlexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.Apply now and make a lasting impact with the Amgen team.careers.amgen.comIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.SponsorshipSponsorship for this role is not guaranteed.As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..Salary RangeUSD - USD

Locations

  • United States - Remote (Remote)

Skills Required

  • biotechnologyintermediate
  • Reltio MDM and/or ontologyintermediate
  • data governanceintermediate

Required Qualifications

  • Experience in the biotechnology or pharmaceutical industry, with an understanding of regulated business processes, data standards, and compliance requirements. (experience)
  • Experience with Reltio MDM and/or ontology and terminology management platforms, such as SciBite or TopQuadrant. (experience)
  • Experience leading complex, cross-functional data initiatives across business and technology teams. (experience)
  • Strong stakeholder management, communication, and influencing skills. (experience)
  • Doctorate degree and 2 years of Information Systems experience (experience, 2 years)
  • Master’s degree and 6 years of Information Systems experience (experience, 6 years)
  • Bachelor’s degree and 8 years of Information Systems experience (experience, 8 years)
  • Associate degree and 10 years of Information Systems experience (experience, 10 years)

Preferred Qualifications

  • Experience navigating complex stakeholder environments and aligning teams with different priorities. (experience)
  • Ability to articulate the business value and measurable outcomes of data management investments. (experience)
  • Experience managing external partners and geographically distributed delivery teams. (experience)
  • Knowledge of data governance, data quality, metadata management, and FAIR data principles. (experience)

Responsibilities

  • Let’s do this. Let’s change the world. In this vital role you will translate business priorities into scalable data capabilities, establish enterprise data standards, and lead cross-functional delivery across business and technology teams. Amgen is seeking an experienced data management leader with biotechnology or pharmaceutical industry experience to advance enterprise Master Data Management (MDM), Reference Data, and Data Governance capabilities.
  • Experience with Reltio MDM and/or ontology and terminology management platforms, such as SciBite or TopQuadrant, is required.
  • Serve as the data engagement lead for an assigned business function, applying knowledge of its data, standards, processes, and priorities to deliver measurable data improvements.
  • Co-develop and execute the enterprise MDM and Reference Data roadmaps, aligning capability investments with business priorities and strategic initiatives.
  • Lead MDM and Reference Data initiatives across critical domains, including customer, product, supplier, material, study, and organizational data.
  • Establish governance processes, data standards, stewardship responsibilities, and quality controls to improve the consistency, trust, and reuse of enterprise data.
  • Lead the implementation and enhancement of Reltio MDM capabilities, including data onboarding, matching, survivorship, hierarchy management, workflows, and integrations.
  • Lead the implementation and enhancement of enterprise Reference Data capabilities, including data onboarding, enrichment, workflows, governance, and integrations.
  • Advance semantic and terminology management capabilities using platforms such as SciBite or TopQuadrant to standardize terminology and improve interoperability.
  • Partner with business teams, Data Governance, Architecture, Data Engineering, and other technology groups to deliver scalable, compliant data solutions.
  • Lead internal delivery teams and external partners, communicating progress, risks, decisions, dependencies, and value realization to senior leadership.

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