Vice President, Data & AI

Key Responsibilities

• Define and execute the enterprise Data & AI strategy, establishing a multi-year roadmap aligned with organizational goals, technology priorities, and mission outcomes.
• Serve as the executive champion for data as a strategic enterprise asset, promoting practices that improve data quality, accessibility, trust, and business value.
• Partner with Executive Leadership to align Data & AI investments with organizational priorities, product strategy, operational excellence, and future growth opportunities.
• Advise leaders on emerging trends in healthcare data, interoperability, analytics, artificial intelligence, and technology innovation.
• Establish performance measures that demonstrate the business impact and value realized through Data & AI initiatives.
• Provide leadership through Directors, Managers, and senior technical leaders across the Data & AI organization.

Organizational Leadership

• Lead and develop a high-performing organization spanning Data Engineering, Analytics Engineering, Data Architecture, Data Governance, Data Products, and AI/ML Engineering.
• Establish organizational structures, workforce plans, succession strategies, and leadership development programs that support long-term business needs.
• Foster a culture of accountability, innovation, collaboration, continuous improvement, and technical excellence.
• Allocate resources across multiple functions to balance operational priorities, modernization efforts, innovation, and strategic initiatives.
• Develop leadership capability throughout the organization and ensure effective management practices at all levels.

Data Platform & Analytics Strategy

• Lead modernization of UNOS's enterprise data platform through scalable, cloud-native architecture and data engineering practices.
• Oversee the design, implementation, and governance of enterprise data infrastructure, including data lakes, data warehouses, semantic models, and curated analytical datasets.
• Establish standards for reliability, scalability, observability, security, performance, and maintainability.
• Ensure mission-critical data assets and analytical platforms effectively support operational, scientific, research, and customer-facing needs.
• Guide platform strategy, architecture decisions, and technology investments that support future organizational growth and innovation.

AI, Data Products & Innovation

• Define and lead UNOS's artificial intelligence and machine learning strategy, ensuring alignment with business objectives, customer needs, and regulatory requirements.
• Build and mature AI/ML capabilities, including technology, governance, processes, and talent required to develop and operationalize AI solutions at scale.
• Establish standards and oversight for responsible AI, including transparency, explainability, governance, monitoring, and risk management.
• Evaluate and guide the use of machine learning, predictive analytics, generative AI, and emerging technologies across internal and customer-facing solutions.
• Pilot and champion a data product mindset that treats enterprise data assets as strategic products with defined ownership, quality standards, and customer expectations.

Data Governance, Quality & Compliance

• Serve as the executive authority for enterprise data governance, data stewardship, data quality, and AI oversight.
• Establish organizational policies, standards, and governance frameworks for data management, privacy, security, retention, accessibility, and responsible AI usage.
• Sponsor governance forums that prioritize investments, manage risk, establish accountability, and support enterprise decision making related to data and AI.
• Ensure compliance with HIPAA, data privacy requirements, information security standards, and emerging AI governance expectations.
• Promote privacy-by-design, security-by-design, and high-quality data management practices across the organization.

Financial & External Leadership

• Own the Data & AI operating budget, including workforce planning, technology investments, vendor management, and long-term capability development.
• Develop and oversee multi-year investment roadmaps supporting data, analytics, governance, and artificial intelligence capabilities.
• Establish value realization measures and prioritize investments to maximize organizational impact and return on investment.
• Lead strategic vendor relationships and technology partnerships supporting the Data & AI ecosystem.
• Represent UNOS with healthcare partners, researchers, government agencies, technology vendors, and industry groups on matters related to data, analytics, interoperability, and artificial intelligence.