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The Senior Director Product Management Data and Analytics will define and lead the strategy design and delivery of enterprise analytics capabilities for OmniSphere our next-generation cloud-native medication management platform. This role offers the opportunity to improve patient care and save lives by transforming how health systems use data to make critical decisions. This individual will own the development and commercialization of AI/ML-powered data products that provide enterprise-wide medication visibility automate decision-making and drive system-level optimization across health systems. The role requires a track record of leading large-scale data and analytics product transformations in multi-tenant SaaS environments with strong commercial and financial acumen. Healthcare experience is a plus but not required.
Key Responsibilities:Define and drive the product vision strategy and roadmap for data and analytics across the enterprise medication management platform
Lead cross-functional teams to deliver analytics capabilities spanning procurement optimization workflow automation shortage prediction and system-level efficiency
Ensure scalability interoperability and extensibility of analytics solutions across health systems integration with third-party platforms
Translate complex customer needs into clear product requirements and outcomes-based metrics
Align data monetization strategy with go-to-market planning pricing packaging and long-term customer value realization
Collaborate with engineering sales finance customer success and product marketing to align execution with strategic goals and ensure successful go-to-market delivery
Lead governance of data architecture quality and lifecycle management in partnership with engineering compliance and operations
Engage directly with customers partners and internal field teams to refine use cases capture feedback and accelerate adoption
Required Qualifications:10 years in product management with a focus on data platforms enterprise analytics or AI/ML-enabled products
Proven leadership of data product transformations in multi-tenant cloud-native SaaS environments
Strong commercial orientation with experience in monetizing data products and delivering financial value to customers
Familiarity with modern data architectures (e.g. data lakes feature stores real-time analytics pipelines)
Proven ability to lead cross-functional teams through ambiguity and technical complexity
Deep understanding of AI/ML lifecycle as it applies to decision automation and recommendation systems
Exceptional communication and stakeholder management across technical clinical and executive audiences
Bachelors degree in engineering computer science economics or equivalent; MBA or advanced degree preferred
Preferred Qualifications:Ideal candidates will bring a blend of data science expertise and product/business leadership with a track record of executing data transformations
Experience with analytics products in healthcare life sciences supply chain or regulated industries
Exposure to regulatory environments such as HIPAA GxP or FDA compliance frameworks
Familiarity with healthcare data types (e.g. medication administration EHR integrations HL7/FHIR standards)
Key Competencies:Strategic product vision
Data-driven execution
Customer-centric innovation
Commercial fluency
Platform thinking
Enterprise orientation
Systems-level problem solving
Required Experience:
Director
Full-Time