AI Portfolio Manager

1. Drive Execution Across the Wind Engineering AI Portfolio

• Maintain visibility across all approved AI initiatives.

• Monitor progress against commitments milestones deliverables and success metrics.

• Ensure initiative ownersremainaligned to agreed execution plans.

• Proactivelyidentifyexecution risks delays and resource constraints.

• Escalate issues requiring leadership intervention.

• Developconsistent project health and portfolio status reporting.

2. Own Portfolio Operations and Governance

• Maintain the master portfolio of AI initiatives.

• Track initiatives through relevant lifecycle stages including opportunity identification assessment business case development proof of concept pilot production deployment scaling and sustainment.

• Ensure governance requirements are completed atappropriate maturitygates.

• Coordinate portfolio reviews.

• Support prioritization activities led by the AI Process Transformation Lead.

• Maintain portfolio documentation scorecards and reporting assets.

3.Establishand Operate Portfolio Management Systems

• Build andmaintainportfolio dashboards and executive reporting mechanisms.

• Create standardized project tracking and performance measurement processes.

• Define portfolio health indicators and key performance measures.

• Provide leaders with visibility into initiative health resource capacity risks dependencies value realization progress andadoptionmetrics.

• Enable data-driven portfolioresolutionsand transparent leadership reviews.

4. Lead Cross-Functional Program Coordination

• Coordinate execution across Engineering Digital ARC Foundry and business stakeholders.

• Manage dependencies across initiatives and functional teams.

• Facilitate alignment when initiatives span multiple engineering domains.

• Identifyand resolveexecutionbottlenecks.

• Support resource planning and workload balancing across the portfolio.

5. Drive Operational Excellence

• Apply Lean and continuous improvement principles to AI portfolio operations.

• Develop standard work for portfolio management activities.

• Improve the efficiency of intake governance reporting and delivery processes.

• Reduce unnecessary complexity whilemaintainingappropriateguardrails.

• Buildrepeatable execution frameworks that canscale withportfolio growth.

• Drive Kaizen activities focused on execution effectiveness andsupervisionvisibility.

6. Translate Strategy into Action

• Support the decomposition of strategicobjectivesinto executable workstreams.

• Help define milestones deliverables ownership structures and success measures.

• Partner with initiative owners to create realistic execution plans.

• Ensure approved AI initiativesmaintainmomentum through implementation.

• Align portfolio execution activities with broader Wind Engineering transformationobjectives.

Required Qualifications

• Bachelors degree in Engineering Computer Science ora relatedtechnical discipline.

• Minimum5yearsmanaging projectsprogramsor operational experience.

• Significant experiencemanaging 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.

• Demonstratedsuccess infacilitatingalignment 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 demonstratedtrack recordof 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.