Lead Analyst - AI Change Management

Iberdrola•Boston, MA

1d•$141,120 - $184,400•Onsite

About The Position

The Lead, AI Change Management leads transformation change management activities to enable business adoption of digital, data, and AI-enabled ways of working across the utility enterprise. The role partners with business stakeholders and teams across Data & AI, Enterprise Architecture, People & Organization, Communications, Legal/Compliance, Talent, and Information Technology to assess change impacts, design adoption strategies, align stakeholders, and support sustainable adoption of transformation initiatives. The position translates transformation goals into practical change plans, communication and training approaches, readiness metrics, and stakeholder engagement activities that drive measurable value realization. It also supports responsible AI adoption and risk-aware change practices, including employee understanding of AI capabilities, responsible-use expectations, human-in-the-loop practices, model limitations, privacy, security, and governance requirements. This position is based in the office five days a week in Orange, Connecticut, or Boston, Massachusetts.

Requirements

Bachelor’s degree in Computer Science, Data Science, or a related field of study.
Eight years of relevant experience leading organizational change, transformation, business process improvement, digital adoption, or enterprise program implementation in complex environments.
Experience supporting cross-functional transformation initiatives involving stakeholder alignment, communications, training, readiness planning, and adoption measurement.
Prior experience in 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.
Practical understanding of responsible AI adoption, human-centered change, data privacy, model risk, explainability, security, and governance concepts as they relate to employee adoption.
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.
Ability to define adoption metrics, usage indicators, behavior-change measures, readiness dashboards, and executive reporting that connect change activity to business outcomes.
Experience supporting pilots, release planning, transition activities, operational handoffs, post-go-live reinforcement, and continuous improvement for transformation initiatives.

Nice To Haves

Prior experience with data or 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.

Responsibilities

Develop and execute structured change management strategies for enterprise digital, data, process, and AI-enabled transformation initiatives, including the change approach, roadmap, adoption plan, and success measures.
Lead change activities that help employees understand, trust, and adopt AI capabilities, including role-based impacts, responsible-use expectations, human-in-the-loop practices, model limitations, privacy, security, and governance requirements.
Identify and manage stakeholder groups across operations, customer and corporate functions, OT, IT, HR, legal/compliance, and leadership; facilitate engagement sessions, readiness discussions, and feedback loops.
Develop and manage business change champion and AI ambassador networks to accelerate adoption, gather feedback, identify resistance, and promote best-practice sharing.
Assess current-state processes, operating model impacts, role changes, skills gaps, adoption barriers, and resistance points; develop readiness plans, mitigation actions, and targeted interventions.
Integrate change management into agile delivery, product development, release management, and business deployment processes so adoption planning begins early in the initiative lifecycle.
Partner with Communications, People & Organization, business leaders, and program teams to develop messaging, leadership talking points, training materials, user guides, office hours, and adoption campaigns.
Support process redesign and operating model changes; coordinate with business teams to align procedures, controls, accountabilities, and adoption milestones.
Define and track adoption KPIs, including stakeholder readiness, training completion, usage, proficiency, satisfaction, behavior change, operational impact, and value realization; prepare executive-ready reporting and insights.
Analyze adoption patterns using platform telemetry, survey feedback, training participation, and business KPIs to identify gaps and recommend targeted interventions.
Embed change management in governance checkpoints and project lifecycles; coordinate with AI governance, legal/compliance, cybersecurity, privacy, and risk teams to reflect applicable policies and controls in adoption plans.
Support pilot-to-production transitions, adoption reinforcement, lessons learned, continuous improvement, and post-implementation sustainment plans.
Partner with business leaders, HR/People & Organization, and learning teams to develop AI literacy programs, role-based learning pathways, AI champion networks, and workforce upskilling initiatives.