Sr. Data Privacy Analyst

Why Join Omnicell? Omnicell is building out its privacy program alongside a fast-moving product and innovation pipeline, and we are looking for a Senior Analyst, Privacy to join our Legal Department as the dedicated privacy advisor to our Product, Innovation, and R&D teams. You will embed privacy-by-design principles throughout the product lifecycle, lead privacy impact assessments across the innovation pipeline, and advise on what data can responsibly be used for research, prototyping, and analytics, including secondary uses of Protected Health Information. You will also partner with Product and Commercial to shape the privacy strategy that takes new offerings to market. This role translates evolving data protection requirements into clear, launch-ready guidance, so that Omnicell can innovate at speed while maintaining compliance with applicable global, federal, and state privacy laws. What You’ll Do (Key Responsibilities) As a Senior Analyst, Privacy, you will: Primary Impact – Let Omnicell innovate at speed by making privacy a design input rather than a launch obstacle, so that new products, features, and research initiatives reach the market with data practices that customers, regulators, and patients can trust. Privacy by design – Operationalize privacy-by-design and privacy-by-default principles in product requirements, data architecture, and feature design, and review product specifications, user flows, and data schemas to identify and resolve privacy considerations early Data strategy advisory – Advise on data minimization, purpose limitation, retention, and de-identification strategies for new products and features Technical privacy controls – Partner with engineering on technical privacy controls, including consent management, access controls, and data segregation Impact assessments – Lead privacy impact assessments (PIAs) and data protection impact assessments (DPIAs) for new products, services, features, research initiatives, and development tools across Omnicell’s innovation pipeline, and determine when a new product, system, vendor, or data initiative requires an assessment or additional safeguards before launch Risk evaluation and residual risk – Identify and evaluate the collection, use, and flow of personal and health information in proposed offerings, recommend practical and prioritized mitigations, and document residual risk for business stakeholders Data mapping and records – Map and document data flows for products and innovation projects, contributing to the enterprise data inventory and records of processing activities (RoPA) Research and innovation data enablement – Advise on permissible uses of data for research, prototyping, analytics, and product development, including secondary uses of Protected Health Information, and evaluate and structure R&D data sourcing approaches such as de-identification, limited data sets, synthetic data, and aggregation Contractual data rights – Assess data rights and usage limitations under customer agreements and Business Associate Agreements (BAAs) as they relate to innovation and development initiatives Third-party diligence – Perform privacy due diligence on third-party tools, data sources, APIs, and development vendors proposed for use by the product and R&D teams Emerging technology advisory – Review and advise on the privacy implications of new products, features, technologies, and data uses, including AI/ML-enabled features, analytics, and connected-device offerings Scalable methodology – Build and maintain repeatable assessment methodologies, intake processes, templates, and playbooks that scale with the pace of innovation Training and enablement – Deliver targeted privacy training for product, engineering, and R&D personnel on privacy-by-design and responsible data use Cross-functional alignment – Partner with cross-functional teams to align privacy strategy with commercial and compliance objectives Who You Are (Qualifications &