Senior Manager – AI Engagement and Transformation

Iberdrola

. Lead AI engagement activities, including business-unit workshops, to identify, assess, and prioritize transformation opportunities aligned to strategy, operational needs, measurable value, success metrics, and ROI .

Posted 10/19/2026full-timeUnited StatesSenior💰 $163,360 - $213,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI engagement activities and transforming business processes into actionable AI-enabled use cases. Proficient in embedding AI governance, tracking KPIs, and facilitating cross-functional collaboration to drive effective adoption and measurable value.

Highest-signal resume keywords

AI Engagement ActivitiesBusiness Process TransformationAI Governance and ComplianceKPI Definition and TrackingCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Enabled Use CasesData AnalysisBusiness ArchitectureOperational DiagnosticsModel ValidationAutomation DeploymentOutcome-Based MetricsQuality GatesPerformance MonitoringRisk Controls

Soft Skills

Effective CommunicationFacilitation SkillsHuman-Centered Change Management

Tools & Technologies

SCADAADMSGISData Science ToolsAI Platforms

Industry Keywords

Power and UtilitiesHeavy-Asset IndustriesAsset ManagementGrid OperationsCustomer ExperienceDigital InitiativesVendor ManagementRegulatory Compliance

About the role

Key responsibilities & impact

Lead AI engagement activities, including business-unit workshops, to identify, assess, and prioritize transformation opportunities aligned to strategy, operational needs, measurable value, success metrics, and ROI
Transform business processes, pain points, and performance objectives into clear AI-enabled use cases, adoption roadmaps, and actionable transformation plans
Develop and support AI engagement plans, including stakeholder alignment, business readiness, AI literacy, and practical enablement activities that drive effective adoption
Support the AI initiative lifecycle from engagement and discovery through prioritization, pilot readiness, deployment support, adoption tracking, and performance monitoring
Partner with business leaders to map current- and future-state processes, identify automation and augmentation opportunities, and embed AI capabilities into redesigned ways of working
Map technology and AI opportunities to business capabilities, prioritizing areas such as asset lifecycle optimization and customer experience management
Coordinate with data scientists, domain stewards, and D&A architects to ensure AI-ready data, observability, lineage, and model orchestration across IT, OT, and ET systems
Validate model robustness and integration with SCADA, ADMS, and GIS where relevant
Embed AI governance and risk controls, including explainability, fairness, privacy, and security, and support enterprise AI governance boards
Define and track KPIs linked to business outcomes, operational diagnostics, AI agent effectiveness, and adoption metrics; report progress and value realization to executives
Evaluate vendor pricing, licensing, SLAs, and exit terms, collaborating with IT, platform providers, and procurement
Support pilot-to-production transitions, testing, production monitoring, model validation, drift detection, and lifecycle maintenance
Report to the Sr. Director – Data, AI Strategy & Adoption

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, or a related field, with at least ten (10) years of relevant experience; an equivalent combination of education and experience may be considered
Experience in power and utilities or adjacent heavy-asset industries
Proven success delivering cross-functional digital or AI initiatives, including productized data solutions, in enterprise environments
Background in business analysis, business architecture, operations, or engineering, with practical familiarity in data and AI project delivery
Strong business and domain knowledge, including utility capabilities such as asset management, grid operations, customer experience, and DERs, as well as operational constraints related to safety and regulation
Demonstrated ability to facilitate cross-functional workshops, co-design processes with operations, OT, HR, and Legal teams, and drive adoption through human-centered change plans
Ability to embed governance, ethics, and compliance practices, including explainable AI, fairness reviews, privacy by design, and vendor requirements for transparency and lifecycle accountability
Strong measurement and value realization skills, including defining outcome-based metrics, establishing baselines, and tracking ROI and business impact
Practical experience supporting AI or automation deployments from pilot to production, including quality gates, testing, monitoring, and sustainment
Ability to communicate effectively across executive, business, IT, and quantitative stakeholder groups

Benefits

Comp & perks

Competitive benefits and growth opportunities
Generous performance‑based bonuses
12% 401(k) match
Comprehensive health, dental, and vision insurance
Tuition reimbursement
Professional development and clear career advancement pathways