AI Portfolio Governance Manager

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Bechtel's Energy GBU is scaling its AI & Data practice to advance AI-enabled solutions across engineering, procurement, project controls, and operations. Successful deployment requires a consistent governance framework that ensures AI initiatives are responsible, compliant, aligned with business priorities, and positioned to deliver measurable value.
The AI Portfolio Governance Manager supports this transformation by driving AI portfolio governance, risk management, and oversight across the Energy Business Unit.

The AI Portfolio Governance Manager leads governance and oversight of AI and data initiatives across the Energy Business Unit, establishing the standards, controls, and decision frameworks required for responsible AI delivery.
The role combines AI and data knowledge, governance expertise, and EPC business understanding to ensure initiatives are transparent, compliant, risk-managed, and aligned with business priorities.

"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership". #LI-VB1

AI & Data Governance Framework
* Define and maintain AI governance policies, standards, and controls.
* Maintain the AI portfolio registry, risk classifications, and compliance status.
* Establish data governance standards and embed Responsible AI principles across AI solution delivery.
Risk, Compliance & Regulatory Oversight
* Assess AI risks and define appropriate oversight requirements.
* Monitor applicable AI, data, and regulatory requirements.
* Partner with Legal, Cybersecurity, and IT on privacy, security, and compliance.
* Establish escalation and response processes for AI-related risks and incidents.
Portfolio Strategy & Stakeholder Alignment
* Align the AI portfolio and roadmap with business priorities.
* Facilitate governance reviews and communicate portfolio health and risk.
* Integrate governance requirements into delivery and change activities.
* Track portfolio value, governance performance, and compliance.
Knowledge Management & Capability Building
* Maintain AI governance playbooks, standards, and procedures.
* Deliver AI governance training and awareness.
* Provide AI and data governance expertise across business and delivery teams.

• Requires bachelor's degree (or international equivalent) and 8-10 years of relevant experience or 12-14 years of relevant work experience
  Preffered;
  * Bachelor's degree in Computer Science, Data Science, Engineering, Business, or related field.
  * Advanced degree or relevant AI/data governance certification (e.g., CDMP, AIGP, or equivalent) preferred.
  

Industry Experience
* 5-7 years of governance, data, technology, or project delivery experience in EPC, engineering, construction, or energy.
* Knowledge of energy project delivery, capital programs, or operations.
Data & AI Experience
* 2-5 years of AI governance, data governance, or enterprise data management experience.
* Experience implementing AI/data governance frameworks and applying enterprise governance tools and risk standards.
* Working knowledge of AI/ML, model risk, data integrity, and explainability.
Skills & Competencies
* Clear communication of complex governance concepts.
* Strong analytical, organizational, and portfolio management skills.
* Ability to influence and align cross-functional stakeholders.

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