Senior Manager, Master Data Management & Reference Data

Job Description

REQUIREMENTS

• Experience 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.
• Doctorate degree and 2 years of Information Systems experience
• OR
• Master’s degree and 6 years of Information Systems experience
• OR
• Bachelor’s degree and 8 years of Information Systems experience
• OR
• Associate degree and 10 years of Information Systems experience

Preferred Skills and Qualifications

• Experience 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.

RESPONSIBILITIES

• 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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