Energy Integration Manager
Energy Integration Manager
Integrate energy data across the org by partnering with data and analytics teams to connect fragmented sources into a coherent, decision-grade portfolio picture — defining the shared data model, definitions, and source of truth that asset management, origination, and wholesale all rely on
Up-level portfolio health visibility by taking reporting from periodic and manual to continuous, predictive, and trusted — surfacing risk, exposure, and opportunity early enough to act on, and setting the metrics, cadence, and review forums leadership runs the portfolio
Expand the operating model across all Energy teams by bringing a consistent, lightweight program operating system to data, analytics, asset management, energy origination, and wholesale — ensuring cross-team initiatives have clear ownership, dependencies are visible, and execution doesn't stall at the seams between functions
Apply AI to scale the work by standing up AI and agentic tooling that automates portfolio reporting, flags anomalies and risks, drafts decision briefs, and compresses the time from data to insight to procurement action — serving as the org's pathfinder for where AI meaningfully accelerates energy operations
Be a thought partner to all energy and partner teams by translating the integrated portfolio view into clear, executive-ready narratives that drive resourcing, prioritization, and procurement strategy for the years ahead
Minimum Qualifications
- Demonstrated experience standing up operating cadences, portfolio/health reporting, and governance that leaders actually run their business by
- Pioneered track record of leading complex, cross-functional programs or operations in energy and infrastructure
- Hands-on experience applying AI/automation to operational or analytical work, with sound judgment on where it adds leverage versus where it does not
- Strong data fluency — comfortable defining metrics and data models, working directly with analytics teams, and turning messy multi-source data into trusted decision-grade reporting
- Executive communication skills with the ability to distill complexity into crisp narratives for leadership and influence without authority across specialist teams
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)
- Background spanning both technical (data/analytics) and commercial (procurement/origination/wholesale) contexts
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience driving alignment and operational cohesion across multiple teams by establishing shared processes, visibility, and cross-functional coordination
- Experience building AI/agentic workflows in a production setting (e.g., automated reporting, anomaly detection, decision-support tooling) with demonstrated ability to optimize/redesign workflows and drive measurable impact
About Meta
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$160,000/year to $232,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.