Vice President - Data and Artificial Intelligence

Position Title: Vice President, Data & Artificial Intelligence

Location: Remote

Position Status: Direct Hire - Full Time

We are seeking a Vice President of Data & Artificial Intelligence to lead enterprise-wide data and AI strategy for a rapidly growing healthcare organization. Reporting directly to the CIO and serving as a key member of the executive leadership team, this role offers the opportunity to build and scale a modern Data & AI organization while driving measurable clinical, operational, and financial outcomes.

This is a highly visible executive leadership position for a proven builder who combines deep expertise in enterprise data platforms, artificial intelligence, machine learning, cloud architecture, healthcare interoperability, and organizational transformation.

The ideal candidate has successfully built enterprise data capabilities, deployed AI solutions into production, established governance frameworks, and led high-performing teams through large-scale transformation initiatives.

Key Responsibilities

Enterprise Data Strategy & Platform Leadership

• Define and execute a multi-year enterprise data strategy and roadmap.
• Lead the development of a modern cloud-based data platform supporting analytics, AI, interoperability, and enterprise reporting.
• Establish scalable data architecture, real-time integration capabilities, and trusted data assets across the organization.
• Drive data modernization initiatives that improve access, quality, governance, and business value.

Artificial Intelligence & Machine Learning Strategy

• Develop and execute the organization's AI and machine learning vision and roadmap.
• Establish AI operating models, intake processes, prioritization frameworks, and delivery standards.
• Build foundational MLOps and Generative AI capabilities that enable scalable innovation.
• Lead AI initiatives from business case development through deployment, adoption, monitoring, and value realization.
• Partner with business leaders to identify and prioritize high-impact AI use cases.

Responsible AI & Governance

• Establish enterprise standards for AI governance, transparency, explainability, bias monitoring, and risk management.
• Ensure responsible and compliant deployment of AI solutions across clinical and operational environments.
• Maintain awareness of evolving regulatory requirements, interoperability standards, and industry best practices.

Executive Partnership & Strategic Leadership

• Serve as the enterprise leader and advisor for data and AI strategy.
• Partner closely with executive stakeholders across technology, operations, finance, clinical, compliance, and product organizations.
• Translate technical opportunities into measurable business outcomes.
• Present strategy, roadmaps, investment priorities, and results to executive and board-level audiences.

Organization Building & Talent Development

• Lead and develop a growing team of approximately 12-15 data, engineering, AI, and platform professionals.
• Assess existing teams, platforms, vendors, and consulting relationships to identify opportunities for optimization and growth.
• Create a culture of innovation, accountability, collaboration, and continuous improvement.
• Recruit, mentor, and retain exceptional Data & AI talent.

Investment & Vendor Management

• Own Data & AI budget planning, vendor strategy, and technology investments.
• Lead technology evaluations, build-versus-buy analyses, and strategic partnership decisions.
• Develop business cases and ROI models supporting enterprise investments.

What Makes This Opportunity Unique

• Executive-level visibility and direct partnership with the CIO.
• Opportunity to build and scale AI capabilities in a largely greenfield environment.
• Significant influence over enterprise technology and business strategy.
• Direct collaboration with senior executives and operational leaders.
• Ability to shape how data and AI improve healthcare delivery at scale.
• Leadership of both enterprise data strategy and AI innovation under a single mandate.

Required Qualifications

Leadership Experience

• 10+ years of leadership experience in Data, Analytics, Artificial Intelligence, Machine Learning, Digital Transformation, or related disciplines.
• 4+ years at the VP, Executive Director, Head of Data, Head of AI, or equivalent leadership level.
• Proven success leading enterprise-scale transformation programs.
• Demonstrated experience building and leading high-performing teams of 10+ professionals.

Data & AI Expertise

• Experience designing, implementing, and scaling enterprise cloud data platforms.
• Proven track record leading AI and machine learning initiatives from concept to production.
• Experience establishing data governance, data quality, metadata management, and stewardship programs.
• Deep understanding of modern data architecture, data engineering, MLOps, and AI operating models.

Healthcare Experience

• Strong experience working with healthcare data environments.
• Expertise in healthcare interoperability standards including HL7 and FHIR.
• Knowledge of HIPAA, healthcare data governance, and regulatory requirements.
• Understanding of clinical workflows and healthcare operations.

Preferred Qualifications

• Experience within health systems or multi-site healthcare organizations.
• Experience deploying Generative AI and Large Language Model (LLM) solutions into production environments.
• Familiarity with Responsible AI frameworks and healthcare regulatory considerations.
• Experience in private equity-backed, acquisition-driven, or high-growth organizations.
• Advanced degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Biomedical Informatics, Engineering, or a related field.

Technical Expertise

Data & Cloud Platforms

• Databricks
• Snowflake
• Microsoft Azure
• Azure Synapse Analytics
• Apache Spark
• dbt

Healthcare Integration

• HL7
• FHIR
• SMART on FHIR
• Healthcare interoperability frameworks

AI, Machine Learning & MLOps

• MLflow
• Kubeflow
• AWS SageMaker
• Vertex AI
• Generative AI
• Retrieval-Augmented Generation (RAG)
• LLM Evaluation Frameworks
• AI Model Monitoring

Data Governance & Analytics

• Collibra
• Alation
• Power BI
• Tableau
• Looker

Executive Leadership Profile

The ideal candidate is:

• A strategic builder who thrives in ambiguity and transformation.
• Equally comfortable in executive boardrooms and technical architecture discussions.
• Experienced delivering AI initiatives that produce measurable business outcomes.
• Skilled at leading organizational change and influencing across complex stakeholder groups.
• Passionate about responsible AI, data-driven decision-making, and innovation.
• An exceptional communicator who can engage technical, clinical, operational, and executive audiences.
• A leader who develops people, builds strong cultures, and creates long-term organizational capability.

About Seneca Resources:

At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.

When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.