MDM Data Lead

We are seeking an experienced MDM Data lEAD to support our Master Data Management lead and team. This role is central to advancing our MDM platform — Veeva Network — through new project delivery, data quality initiatives, and cross-functional collaboration. The ideal candidate brings a strong data background, a high level of independence, and a track record of delivering high-quality outputs in complex data environments. Key Responsibilities: MDM & Data Quality • Provide MDM-related requirements definition and analysis to support platform enhancements and new integrations • Lead User Acceptance Testing (UAT) for new MDM integrations and enhancements; provide formal sign-off on work requests • Perform data profiling and analysis of new data sources and customer lists to determine MDM universe matches and assess data quality • Support ad hoc data requests from internal stakeholders across the organization Project Leadership & Collaboration • Collaborate on and lead projects at the intersection of HCP/HCO customer data, CRM adoption, and training initiatives • Drive cross-functional interviews and structured data investigations from problem definition through to final deliverable • Design and develop advanced hypotheses and analytical frameworks to guide data investigations with limited oversight Documentation & Communication • Create high-quality technical documentation, including audit frameworks and deliverable outputs suitable for senior leadership review • Translate complex data concepts into clearly structured, digestible materials that can be shared across the organization Required Qualifications: • Total 8+ years of experience with strong background in Master Data Management (MDM), data quality, or data governance • Experience with Veeva Network or comparable MDM platforms strongly preferred • Proficiency in data profiling, analysis, and interpretation of large, complex datasets • Experience with HCP/HCO data and life sciences CRM ecosystems (e.g., Veeva CRM) • Demonstrated ability to perform UAT and provide formal sign-off on system enhancements • Excellent written communication skills; ability to produce structured, professional documentation Key Competencies: • Independence & Self-Direction: Manages workload with limited guidance; effectively prioritizes and sets expectations with stakeholders • Analytical Rigor: Conducts thorough data investigations and drives toward well-structured, evidence-based deliverables • Technical documentation: demonstrating the ability to absorb and logically structure information into high-quality deliverable outputs with audit frameworks that can be shared across the organization, including senior leadership • Communication: Able to distill complex technical findings into high-quality outputs for both technical and non-technical audiences • Collaboration: Works effectively across functions; proactively engages stakeholders to understand needs and drive alignment • Detail Orientation: Produces audit-ready documentation and maintains a high standard for data accuracy and completeness