AI Portfolio Manager

About the Role

The AI Portfolio Manager serves as the operational leader responsible for driving execution excellence across the Wind Engineering AI transformation portfolio. Reporting to the AI Process Transformation Leader, this role ensures AI initiatives progress efficiently from concept through deployment by establishing portfolio transparency, execution rigor, risk mitigation, stakeholder alignment, operational rhythms, and performance reporting. The AI Portfolio Manager partners closely with AI Architects, portfolio stakeholders, Digital teams, ARC Foundry, and executive stakeholders to ensure strategic priorities are translated into measurable execution and business outcomes.

Responsibilities

• Drive execution across the Wind Engineering AI portfolio by maintaining visibility of all approved AI initiatives, monitoring progress against commitments, milestones, deliverables, and success metrics, and ensuring alignment to agreed execution plans.
• Proactively identify execution risks, delays, and resource constraints, and escalate issues requiring leadership intervention.
• Develop consistent project health and portfolio status reporting.
• Own portfolio operations and governance by maintaining the master portfolio of AI initiatives, tracking initiatives through lifecycle stages (opportunity identification, assessment, business case development, proof of concept, pilot, production deployment, scaling, and sustainment), and ensuring governance requirements are completed at appropriate maturity gates.
• Coordinate portfolio reviews and support prioritization activities led by the AI Process Transformation Lead.
• Maintain portfolio documentation, scorecards, and reporting assets.
• Establish and operate portfolio management systems by building and maintaining portfolio dashboards, executive reporting mechanisms, and standardized project tracking processes.
• Define portfolio health indicators and key performance measures to provide leaders with visibility into initiative health, resource capacity, risks, dependencies, value realization progress, and adoption metrics.
• Enable data-driven portfolio resolutions and transparent leadership reviews.
• Lead cross-functional program coordination by managing dependencies across initiatives and functional teams, facilitating alignment for initiatives spanning multiple engineering domains, and resolving execution bottlenecks.
• Support resource planning and workload balancing across the portfolio.
• Drive operational excellence by applying Lean and continuous improvement principles to AI portfolio operations, developing standard work for portfolio management activities, and improving the efficiency of intake, governance, reporting, and delivery processes.
• Build repeatable execution frameworks that can scale with portfolio growth and drive Kaizen activities focused on execution effectiveness and supervision visibility.
• Translate strategy into action by supporting the decomposition of strategic objectives into executable workstreams, defining milestones, deliverables, ownership structures, and success measures, and partnering with initiative owners to create realistic execution plans.
• Ensure approved AI initiatives maintain momentum through implementation and align portfolio execution activities with broader Wind Engineering transformation objectives.

Requirements

• Bachelor’s degree in Engineering, Computer Science, or a related technical discipline.
• Minimum 5 years managing projects, programs, or operational experience.
• Significant experience managing complex programs, portfolios, or PMOs within a large, matrixed organization.
• Proven ability to manage multiple concurrent workstreams, prioritize deliverables, and drive projects through full lifecycle stages.
• Demonstrated success in facilitating alignment and influencing cross-functional stakeholders without direct authority.

Preferred Qualifications

• Experience supporting AI, software, or digital transformation portfolios within engineering, industrial, manufacturing, or energy sectors.
• A demonstrated track record of improving processes and advancing operational maturity using frameworks like Lean, Six Sigma, Agile, Scrum, or PMP.
• Proven ability to develop executive-level reporting and governance mechanisms, paired with excellent writing, presentation, and facilitation skills to influence stakeholders without direct authority.
• Experience with transformation management offices, enterprise change programs, and a strong systems-thinking mindset to drive AI adoption and development lifecycles.

Benefits

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services.
• Retirement benefits, including the GE Vernova Retirement Savings Plan (401(k) with company matching and retirement contributions) and access to Fidelity resources and financial planning consultants.
• Tuition assistance and adoption assistance.
• Paid parental leave, disability benefits, and life insurance.
• 12 paid holidays and permissive time off.

Pay

For candidates applying to a U.S.-based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility includes a discretionary annual bonus.