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Sr Director - AI Portfolio Management
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GE Vernova
Schenectady, NY (In Person)
Full-Time
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Job Description
Job Description SummaryAt GE Venova Power Digital Technology (DT), we are seeking an accomplished and visionary Senior Director of AI Portfolio Management to lead the prioritization, governance, and value realization of our enterprise AI investments. This role sits at the intersection of business strategy and AI Delivery-ensuring that AI initiatives are aligned with enterprise priorities, deliver measurable outcomes, and scale across the organization. This role is central to advancing GE Vernova Power's transformation into an AI-enabled enterprise.
In this role, you will own the AI portfolio lifecycle, from strategy and intake to prioritization, funding, tracking, and value realization. This role partners closely with business leaders, technology teams, and delivery organizations to maximize ROI and accelerate AI adoption at scale. This role requires a unique combination of strategic leadership, technical fluency, and portfolio acumen, along with the ability to influence senior stakeholders and drive AI adoption.
Job DescriptionRoles and ResponsibilitiesAI Portfolio Strategy & GovernanceDefine and operationalize the enterprise AI portfolio strategy aligned to business goals and transformation prioritiesEstablish governance and lead executive reviews covering intake, prioritization, funding, lifecycle management, KPIs, and riskPrioritization & Investment ManagementManage structured intake and prioritization of AI use cases based on value, feasibility, scalability, and strategic alignmentPartner with finance and business leaders to guide investment decisions and maintain a balanced portfolioValue Realization & Performance ManagementDefine target outcomes and track AI value through standardized KPIs, benefits attribution, and performance frameworksProvide transparency via executive dashboards and reporting while driving accountability for resultsCross-Functional AlignmentCoordinate across AI strategy, data/platform, delivery teams, and business units to align priorities and executionFacilitate alignment on dependencies, resource allocation, and enterprise-wide objectivesPortfolio Execution EnablementDefine operating models separating strategy and delivery while ensuring tight coordination and scalabilityStandardize portfolio tools/processes, remove bottlenecks, and promote reuse of data and AI assets
In this role, you will own the AI portfolio lifecycle, from strategy and intake to prioritization, funding, tracking, and value realization. This role partners closely with business leaders, technology teams, and delivery organizations to maximize ROI and accelerate AI adoption at scale. This role requires a unique combination of strategic leadership, technical fluency, and portfolio acumen, along with the ability to influence senior stakeholders and drive AI adoption.
Job DescriptionRoles and ResponsibilitiesAI Portfolio Strategy & GovernanceDefine and operationalize the enterprise AI portfolio strategy aligned to business goals and transformation prioritiesEstablish governance and lead executive reviews covering intake, prioritization, funding, lifecycle management, KPIs, and riskPrioritization & Investment ManagementManage structured intake and prioritization of AI use cases based on value, feasibility, scalability, and strategic alignmentPartner with finance and business leaders to guide investment decisions and maintain a balanced portfolioValue Realization & Performance ManagementDefine target outcomes and track AI value through standardized KPIs, benefits attribution, and performance frameworksProvide transparency via executive dashboards and reporting while driving accountability for resultsCross-Functional AlignmentCoordinate across AI strategy, data/platform, delivery teams, and business units to align priorities and executionFacilitate alignment on dependencies, resource allocation, and enterprise-wide objectivesPortfolio Execution EnablementDefine operating models separating strategy and delivery while ensuring tight coordination and scalabilityStandardize portfolio tools/processes, remove bottlenecks, and promote reuse of data and AI assets