[Remote] VP, Head of Data & Analytics

Note: The job is a remote job and is open to candidates in USA. OPEN Health is a global organization focused on biopharma innovation, connecting science and technology to improve patient outcomes. The VP, Head of Data & Analytics will lead the strategy and execution of data governance and architecture, establishing a unified data ecosystem to support AI and analytics capabilities across the organization.

Responsibilities

• Define and lead OPEN Health’s enterprise data strategy, aligned to the company’s broader technology, AI, and commercial growth ambitions
• Establish a scalable and AI-ready data ecosystem that supports analytics, automation, operational intelligence, workflow optimization, and technology-enabled offerings
• Design and stand up the data foundations for an internal commercial intelligence capability, integrating internal work product, knowledge assets, project and engagement data, expertise signals, and curated external sources covering therapy areas, scientific developments, and competitive landscape
• Lead the design and evolution of enterprise data architecture, integration patterns, governance frameworks, and reusable data services and data products with defined consumers, ownership, and service expectations
• Drive the delivery and ongoing evolution of data products that provide measurable value to commercial, delivery, and back-office stakeholders
• Develop standards for data ownership, quality, lineage, lifecycle management, retention, classification, and accessibility across the organization
• Build foundational data capabilities that support scalable AI adoption, including structured and unstructured data readiness, retrieval systems, automation workflows, and intelligent applications
• Partner closely with Technology, AI Engineering and AI Innovation, Operations, Commercial, Finance, and Practice teams to improve data consistency, accessibility, interoperability, and reporting capabilities across systems and workflows
• Work in close collaboration with AI Engineering and AI Innovation to ensure data foundations are aligned to current and emerging AI use cases, including retrieval, agentic workflows, and intelligent applications
• Help establish a connected enterprise data backbone that reduces fragmentation and enables reusable operational, commercial, and client-facing capabilities, including longer-term opportunities to enrich product platforms and client-delivered solutions
• Lead discussions and guidance related to data governance, privacy, and regulatory considerations, including HIPAA, GDPR, PHI handling, client contractual obligations, and broader enterprise data risk management practices
• Partner with IT, Security, Compliance, Risk, and client stakeholders to ensure data practices align with internal policies, regulatory expectations, and client requirements
• Define practical governance approaches that balance innovation, usability, security, and operational efficiency
• Support operational and management reporting needs by helping standardize data models and improve reporting structures across finance and back-office functions
• Identify opportunities to create differentiated and reusable data assets that strengthen OPEN Health’s commercial, AI, and technology capabilities
• Establish scalable processes, standards, documentation, and best practices for data management across the organization
• Help define the future operating model and organizational structure for enterprise data capabilities at OPEN Health
• Build business cases and investment recommendations for future data engineering, governance, analytics, and architecture resources
• Operate as both a strategic leader and a hands-on technical contributor, particularly during the early stages of building the enterprise data capability
• Be prepared to directly support data architecture, integration design, governance implementation, data modeling, platform evaluation, and solution delivery activities where needed
• Work closely with Solution Architecture, AI Engineering, and broader engineering leadership in a highly collaborative and execution-oriented operating model, contributing directly to technical problem solving and implementation efforts
• Serve as a key advisor and cross-functional leader for enterprise data strategy, governance, and AI enablement initiatives

Skills

• 10+ years of experience in data strategy, data engineering, data architecture, analytics, or enterprise data leadership roles
• Extensive experience designing and implementing enterprise-scale data solutions and architectures, with hands-on knowledge of modern COTS platforms such as Databricks, Microsoft Fabric, Informatica, or equivalent technologies to support strategic build versus buy decisions
• Experience establishing or maturing data governance and operational data practices
• Strong understanding of modern cloud-based data platforms and integration approaches
• Experience supporting AI, analytics, or automation initiatives through scalable data architecture
• Experience working across both structured and unstructured data environments
• Familiarity with data product approaches, including defining consumers, ownership, and service expectations for shared data assets
• Strong understanding of data quality, governance, security, and lifecycle management principles
• Ability to operate strategically while remaining hands-on where needed
• Strong stakeholder management and communication skills across technical and non-technical audiences
• Experience working within healthcare, pharmaceutical, medical communications, or regulated industries
• Experience with modern cloud-based data and AI ecosystems
• Experience working in matrixed and fast-paced delivery environments

Benefits

• Competitive pay, generous paid vacation, holidays and more, across all our locations
• Ongoing training and development opportunities which foster and shape your individual career path
• An active and growing commitment to bettering the communities our employees call home through our Corporate Social Responsibility program
• The opportunity to thrive in a global, collaborative environment while working every day to improve health outcomes and patient wellbeing
• Diverse, inclusive culture that encourages you to bring your whole self to work

Company Overview

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