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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operationalizing AI delivery models and managing enterprise AI portfolios, with a strong focus on value management, performance insights, and collaboration across business and technology teams. Proficient in developing frameworks and tools for effective AI engagement and governance.
Highest-signal resume keywords
AI Portfolio ManagementValue ManagementData GovernanceAdvanced Degree in MathematicsRelationship-Building Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Delivery ModelBenefits MeasurementPost-Implementation MonitoringAI Transformation ExecutionPerformance InsightsEmerging AI Capabilities EvaluationValuation TechniquesInvestment AnalysisCost AnalysisUsage Adoption Metrics
Soft Skills
Communication SkillsCollaborationResults DrivenProactive Leadership
Tools & Technologies
AI FrameworksEngagement ToolsPortfolio Insights Tools
Industry Keywords
Responsible AIPrivacyLegal ComplianceRisk Management
About the role
Key responsibilities & impact- Operationalize and continuously improve OLG's enterprise AI delivery model
- Lead enterprise AI demand intake, assessment and prioritization
- Manage the enterprise AI portfolio and pipeline
- Operationalize AI value management, including valuation, benefits measurement and post-implementation monitoring
- Lead execution of enterprise AI transformation priorities
- Provide operating cadence, decision support and portfolio insights for the AI Strategy Forum
- Develop reusable AI portfolio, delivery and engagement frameworks, tools and practices
- Partner with AI Partners, business teams and technology teams on opportunity framing and delivery decisions
- Coordinate Data Governance, Responsible AI, Privacy, Legal, Security, Risk and other control functions
- Develop insights on AI portfolio performance, investment, cost, usage, adoption and realized value
- Support evaluation of emerging AI capabilities, vendors and delivery approaches
Requirements
What you’ll need- An advanced university degree in mathematics, statistics, analytics, computer science, economics or finance
- 5-7 years of comparable experience
- Strong relationship-building and communication skills for complex topics and solutions
- Comfortable collaborating across a large organization
- Results driven
- Proactive and evolving leader
- Unless otherwise specified, ability to work fully onsite
Benefits
Comp & perks- Comprehensive, employer-paid group benefits coverage
- Participation in a performance-based incentive plan recognizing organizational and individual achievements
- Defined benefit Public Service Pension Plan
- Competitive paid time-off provisions
- Comprehensive professional development support
- Equity, diversity, and inclusion-focused culture