Principal Enterprise Systems Strategy & Governance Analyst

ve architecture (LLMs, agents, retrieval patterns) while owning the enterprise AI context schema and driving alignment across Business, Enterprise Architecture, Data Governance, Cybersecurity, and Platform teams. Monitor AI industry trends, benchmark against peer organizations, and represent the company in industry forums and working groups on AI governance standards.
2. AI Governance, Risk & Compliance: Establish comprehensive governance policies, guardrails, and agentic AI controls while leading AI red teaming, adversarial testing, and ensuring compliance with emerging regulations (EU AI Act, US AI Executive Order, ISO/IEC 42001, GDPR, HIPAA, sector-specific requirements) through continuous risk monitoring and translation of regulatory requirements into operational controls.
3. AI Lifecycle Management: Own the enterprise lifecycle for ML, GenAI, and agentic systems with integrated quality gates, outcomes evaluation benchmarks, and governance embedded into CI/CD, MLOps, and AIOps workflows.
4. AI Portfolio Governance & Value Realization: Manage AI portfolio intake, scoring, and prioritization while defining value realization metrics and partnering with AI Champions, business leaders, and Finance to implement enterprise AI OKRs and standardized ROI dashboards with documented validation frameworks.
5. AI Operations, Observability & Performance: Build enterprise AIOps capabilities with automated evaluations, drift tracking, and hallucination monitoring while establishing SLOs/SLAs and deploying comprehensive telemetry pipelines.
6. Pattern Libraries & Reusable Components: Define standards and oversee development of enterprise AI pattern libraries and standardize reusable components with required metadata, observability, and safety compliance to enable federated development.
7. Organizational Enablement & Change Leadership: Lead AI literacy programs, coordinate AI Champions Network while driving culture transformation and change management for AI-augmented workflows across Business Units. Design and deliver training programs, facilitate workshops, and embed collaboration practices that accelerate adoption and capability building.
8. Platform & Vendor Ecosystem Leadership: Lead platform and vendor evaluations using defined selection criteria while optimizing the AI technology portfolio for performance, cost, resilience, and enterprise risk posture. Manage vendor negotiations, contract management, and procurement processes to ensure optimal partnership value and risk mitigation.
Qualifications
Experience & Expertise

• 12-15+ years in enterprise technology, strategy, governance, or digital transformation with 5+ years leading AI/ML initiatives
• Proven track record implementing AI governance frameworks, lifecycle management, and value realization systems in complex or regulated organizations
• Deep technical knowledge of LLMs, RAG, agent frameworks, and guardrails with ability to evaluate implementations and guide architectural decisions
• Expertise in AI compliance landscape (EU AI Act, US AI EO, ISO/IEC 42001, sector regulations) and translating requirements into operational controls
• Experience managing AI technology budgets and leading vendor negotiations
  Leadership & Strategic Influence
• Executive presence with demonstrated ability to inspire C-suite leaders and align cross-functional stakeholders
• Proven success building Centers of Excellence and enablement programs that drive measurable organizational change
• Exceptional communicator who translates complex technical concepts into business strategy and outcomes
• Strong emotional intelligence with ability to influence without authority and navigate organizational dynamics
  Technical & Governance Competencies
• Expert knowledge: LLMs, embeddings, RAG, orchestration, agent patterns, safety layers, evaluation methods
• Solid understanding: Enterprise architecture, IAM, cloud platforms, Zero Trust, DevOps/MLOps, data governance
• Working knowledge: AI observability, risk modeling, compliance automation, agentic AI safety controls
  Change Management & Enablement
• Track record leading enterprise transformation initiatives with measurable adoption and ROI outcomes
• Expert at workshop facilitation, training design, and building sustainable communities of practice
• Skilled in process analysis and value mapping to identify high-impact AI opportunities
  Core Competencies
  • Systems Thinking: Ability to see connections across complex organizational systems and anticipate second-order effects
  • Strategic Influence: Proven capability to drive change and build support without relying on formal authority
  • Risk Management Mindset: Balanced approach to enabling innovation while protecting the enterprise from harm
  • Business Acumen: Deep understanding of how AI creates business value across different functions and industries
  • Leadership Presence: Credibility and gravitas to advise senior leaders on strategic AI investments and organizational transformation

What Success Looks Like
First 12 Months
• Enterprise AI governance framework adopted and operational across all functions with documented policies, standards, and enforcement mechanisms
• Full lifecycle model and metadata standards active across all AI initiatives with consistent quality gates and approvals
• AI portfolio intake → prioritization → approval pipeline functioning consistently with 90%+ stakeholder satisfaction
• Three or more high-impact GenAI/agentic solutions delivering minimum 15% productivity improvement or $500K+ annual cost savings each with documented ROI validation
• AI Champions Network (50+ members), Power Users community, and AI Academy enablement programs fully launched with 80%+ satisfaction scores
• Zero major AI safety, ethical, or regulatory compliance incidents
Ongoing
• Quarterly AI OKR and value reporting embedded in enterprise rhythm with executive visibility and accountability
• Continuous year-over-year improvements in adoption rates (20%+ growth), productivity metrics, compliance posture scores, and AI literacy assessments
• Portfolio consistently delivering $5M+ in annual documented value (cost savings, revenue enablement, risk avoidance)
• AI governance maturity assessment scores in top quartile of industry benchmarks
• Recognized internally and externally as the enterprise's strategic thought leader for AI-native transformation
• Speaking engagements, published thought leadership, and industry recognition for governance innovation
A Day in the Life
Your time will typically be distributed across:
• Strategic Leadership (25%): Executive stakeholder meetings, governance forum leadership, AI lifecycle management, portfolio reviews, vendor strategy sessions
• Governance Operations (25%): Policy development, risk assessments, compliance reviews, quality gate approvals
• Organizational Enablement (25%): Training delivery, Champions Network facilitation, change management initiatives, workshop leadership
• Technical Architecture (25%): Standards development, platform evaluations, architecture reviews, innovation research

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [email protected]