The base salary range for this position is dependent upon experience and location, ranging from $141,120 to $176,400

What We Offer:

• 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

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Job Summary

Lead, AI Change Management is responsible for leading transformation change management activities that enable business adoption of digital, data, and Artificial Intelligence (AI) enabled ways of working across the utility enterprise.  This role partners with business stakeholders, Data & AI, Enterprise Architecture, People & Organization, Communications, Legal/Compliance, Talent, and Information Technology to assess change impacts, design adoption strategies, build stakeholder alignment, and ensure sustainable adoption of transformation initiatives. This role translates transformation goals into practical change plans, communication and training approaches, readiness metrics, and stakeholder engagement activities that drive measurable value realization while supporting responsible AI adoption and risk-aware change practices.

Key Responsibilities

Transformation change strategy & execution: Develop and execute structured change management strategies for enterprise transformation initiatives, including digital, data, process, and AI-enabled programs; define change approach, roadmap, adoption plan, and success measures.

AI change management & responsible adoption: Lead change activities that help employees understand, trust, and effectively adopt AI capabilities, including role-based impacts, responsible use expectations, human-in-the-loop practices, model limitations, privacy, security, and governance requirements.

Stakeholder engagement & alignment: Identify and manage stakeholder groups across operations, customer, corporate functions, OT, IT, HR, legal/compliance, and leadership; facilitate engagement sessions, readiness discussions, and feedback loops to secure alignment and reduce adoption risk. Develop and manage business change champion and AI ambassador networks to accelerate adoption, gather feedback, identify resistance, and promote best-practice sharing across the enterprise.

Change impact assessment & readiness: Assess current-state processes, operating model impacts, role changes, skills gaps, adoption barriers, and resistance points; translate findings into readiness plans, mitigation actions, and targeted interventions. Integrate change management activities into agile delivery, product development, release management, and business deployment processes to ensure adoption planning begins early in the initiative's lifecycle.

Communications & training enablement: Partner with Communications, P & O, business leaders, and program teams to develop clear messaging, leadership talking points, training materials, user guides, office hours, and adoption campaigns that support successful transition.

Business process redesign & adoption support: Support process redesign and operating model changes needed to embed transformation outcomes into day-to-day work; coordinate with business teams to align procedures, controls, accountabilities, and adoption milestones.

Metrics, value realization & adoption monitoring: Define and track change adoption KPIs, including stakeholder readiness, training completion, usage, proficiency, satisfaction, behavior change, operational impact, and value realization; prepare executive-ready reporting and insights. Analyze user adoption patterns using platform telemetry, survey feedback, training participation, and business KPIs to identify adoption gaps and recommend targeted interventions.

Risk, governance & compliance partnership: Embed change management into governance checkpoints and project lifecycles; coordinate with AI governance, legal/compliance, cybersecurity, privacy, and risk teams to ensure adoption plans reflect applicable policies and controls.

Sustainment & continuous improvement: Support pilot-to-production transitions, adoption reinforcement, lessons learned, continuous improvement cycles, and post-implementation sustainment plans to ensure transformation benefits are realized and maintained.

AI literacy and workforce capability development: Partner with business leaders, HR/P&O, and learning teams to develop AI literacy programs, role-based learning pathways, AI champion networks, and workforce upskilling initiatives that improve organizational readiness and AI fluency.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science or a related field of study and eight (8) years of relevant experience. 
• Relevant experience includes leading organizational change, transformation, business process improvement, digital adoption, or enterprise program implementation in complex environments.
• Experience supporting cross-functional transformation initiatives that require stakeholder alignment, communications, training, readiness planning, and adoption measurement.
• Prior experience with change management, business transformation, process redesign, communications, learning/adoption, operations, or technology-enabled program delivery.
• Ability to build change strategies, impact assessments, stakeholder maps, readiness plans, resistance mitigation actions, adoption plans, and sustainment approaches.
• Encompasses a practical understanding of responsible AI adoption, human-centered change, data privacy, model risk, explainability, security, and governance concepts as they relate to employee adoption.
• Proven ability to facilitate cross-functional workshops, align diverse stakeholder groups, and translate complex transformation topics into clear, audience-specific messages.
• Ability to partner with communications, HR, business leaders, and program teams to create launch materials, role-based training, office hours, and adoption campaigns.
• Capability to define adoption metrics, usage indicators, behavior-change measures, readiness dashboards, and executive reporting that connect change activity to business outcomes.
• Prior experience supporting pilots, release planning, transition activities, operational handoffs, post-go-live reinforcement, and continuous improvement for transformation initiatives.

Preferred Qualifications

• Prior experience with data/AI within utility operations.
• Experience in power and utilities, energy, infrastructure, regulated industries, or heavy asset industries.
• Familiarity with change management methodologies such as Prosci ADKAR, Kotter, agile change, design thinking, or human-centered adoption practices.
• Experience supporting AI, automation, analytics, ERP, CRM, field operations, customer experience, or workforce transformation programs.
• Certification in change management, project/program management, agile, communications, or learning/adoption.

Competencies

• Growth & Continuous Improvement
• Initiative & Change
• Focused on Results
• Customer Centric (internal and/or External)
• Communication
• Collaboration
• Leadership (people managers/leaders)

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