Lead product strategy and development for data management solutions in life sciences, ensuring market relevance and user satisfaction while managing lifecycle and stakeholder alignment.

Design and maintain enterprise IT and data architecture focused on data governance, MDM, metadata/catalog, and data quality. Lead technical design, implement MDM and metadata solutions, enable AI-driven automation, collaborate with stakeholders, mentor architects, and recommend technologies to improve data discoverability, reliability, and business value.

Manage end-to-end proposal processes for low-to-medium complexity opportunities: review RFIs/RFPs, coordinate cross-functional teams and vendors, prepare budgets/quotes/text, facilitate meetings, ensure timely high-quality deliverables, support negotiations and client interactions, maintain content library and data entry, and assist onboarding and process improvements.