Senior Program Manager, Grid Data & AI Innovation

PG&E

Oakland (CA)

Híbrido

USD 144 000 - 244 000

Tempo integral

Há 5 dias
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Resumo da oferta

PG&E's Electric Asset Strategy team seeks a Principal Program Manager to drive data, analytics, and technology initiatives across ARM. You will translate needs into requirements, shape enterprise initiatives, and integrate capabilities into core workflows, helping decision-makers leverage AI/ML tools effectively.

You will champion data governance, partner with AKM, Propel, and Data Management & Analytics teams, and lead adoption of analytics and visualization products to support risk-informed

Qualificações

  • Bachelor's degree or equivalent experience required.
  • Experience driving data, analytics and technology initiatives.
  • Ability to lead cross-functional teams and influence leadership.

Responsabilidades

  • Develop and maintain relationships with strategic programs and partners.
  • Report-outs to leaders and executive teams on ARM initiatives.
  • Perform feasibility analysis, business cases, and prioritization of projects.
  • Lead cross-utility project teams to influence decisions.
  • Coach and mentor team members on data and AI/ML adoption.
  • Define data strategy and governance to support risk-informed decisions.
  • Collaborate with AKM, Propel, and Data Management & Analytics teams.

Conhecimentos

Strategic leadership
Cross-functional leadership
Data governance
AI/ML knowledge
Project management
Regulatory awareness
Stakeholder engagement
Communication skills

Formação académica

Bachelor's degree or equivalent experience
Master's in Business Administration or other Advanced Degree

Ferramentas

GIS software
Copilot
Foundry

Descrição da oferta de emprego

PG&E's Electric Asset Strategy team seeks a Principal Program Manager to drive data, analytics, and technology initiatives across ARM. You will translate needs into requirements, shape enterprise initiatives, and integrate capabilities into core workflows, helping decision-makers leverage AI/ML tools effectively.

You will champion data governance, partner with AKM, Propel, and Data Management & Analytics teams, and lead adoption of analytics and visualization products to support risk-informed

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