Morgan Templar
Healthcare Data & AI Executive | VP Information Management & Chief Data Officer | Healthcare Quality, Analytics, Governance, Medicaid, Medicare & Enterprise Transformation Leader HEDIS, Medicare Stars, Medicaid
- Role
- Global Ai Governance Standardization & Industry Leadership at Edm Association
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Morgan Templar
CHIEF AI OFFICER | HEAD OF GLOBAL AI INNOVATION | AI & DATA STRATEGY Enterprise AI Platforms • Internal AI Transformation • Generative AI • AI Product Lifecycle Management “Governance is no longer something we review. It is something we engineer into the moment of execution – where decisions are made, constraints are enforced, and AI systems and agents operate within defined authority.” – Morgan Templar Deep expertise leading enterprise AI strategy, generative AI adoption, AI product lifecycle management, MLOps governance, intelligent workflow automation, and production-scale deployment of AI-enabled solutions across complex matrixed organizations including large-scale AI, data, governance, and operational modernization initiatives across highly regulated healthcare environments. Experienced operationalizing AI capabilities including machine learning, large language models (LLMs), conversational AI, and AI copilots within secure, compliant, and highly governed enterprise environments. Recognized industry leader in embedding governance, observability, auditability, and operational accountability directly into AI execution pathways through machine-enforceable governance architectures. Fluency across AI platform architecture, cloud-native AI services, APIs, orchestration frameworks, vector-enabled semantic architectures, enterprise data platforms, and scalable AI operational controls. Former executive leader at Highmark Health responsible for a $200M enterprise cloud-native data and AI platform and a $175M+ digital product portfolio supporting governed AI-driven decision systems, analytics modernization, and enterprise operational transformation. Trusted advisor to executive leadership teams and governance councils, translating AI capabilities into scalable enterprise adoption, measurable ROI, operational readiness, and responsible AI execution. Co-Chair of global AI governance and operational controls initiatives through the EDM Association, helping define governance standards aligned to the EU AI Act, NIST AI RMF, ISO 42001, and enterprise AI operational frameworks in collaboration with healthcare, financial services, and hyperscale technology organizations. Executive architect of Agentic Executable Governance© (AEG) – a governance class for AI-native enterprises operating at scale, where machine-enforceable policies, authority structures, observability controls, and constraints are embedded directly into AI, data, and transactional systems.(patent pending)
Experience
Global Ai Governance Standardization & Industry Leadership
Jan 2023 — Present
Co-Chair, EDM Association AI, Data & Analytics Controls (ADAC / CDMC+AI), Data Product workgroup, and DCAM Ontology workgroup• Led global initiative defining machine-automatable governance controls for enterprise AI, MLOps, model lifecycle governance, and data platforms across hyperscalers, global financial institutions, and healthcare enterprises• Translated EU AI Act, NIST AI RMF, ISO 42001, and ISO 27001 into operational AI control frameworks aligned to CDMC and DCAM capabilities• Defined scalable governance patterns supporting AI observability, model monitoring, escalation controls, intervention pathways, auditability, and AI operational accountability• Partnered with organizations including London Stock Exchange Group (LSEG), UBS, JP Morgan Chase, Morgan Stanley, HCSC, CVS Health (Aetna), Accenture, EY, and Databricks• Established cross-industry alignment on embedding regulatory requirements directly into AI system architecture, execution pipelines, and operational governance modelsResult: Enabled standardization of governance approaches designed for production-scale AI deployment, operational monitoring, and enterprise AI execution at global scale
Education
Ohio University
Master of Science
2011 — 2012
University of Utah
Bachelor of Science
Carnegie Mellon University
CDataO Certification
2021 — 2022
Carnegie Mellon University
Certified Chief Data Officer
Skills
- Hospitals
- Human Resources
- Information Technology
- IT Strategy
- Coaching
- Leadership
- Quality Assurance
- Entrepreneurship
- Project Planning
- Leadership Development
- Managed Care
- Change Management
- Process Improvement
- Budgets
- Healthcare
- Business Development
- Performance Management
- Program Management
- Solution Architecture
- Public Speaking
- Team Building
- Management
- Problem Solving
- Operations Management
- Contract Negotiation
- Data Analysis
- Business Process Improvement
- Customer Relations
- Marketing
- Strategy
- Policy
- Budgeting
- Project Management
- System Administration
- Organizational Development
- Customer Service
- New Business Development
- Analysis
- Healthcare Information Technology
- Cross-Functional Team Leadership
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