Sr Mgr - AI Engagement & Transformation

Iberdrola; Orange (CT); On-site; USD 163,000 - 214,000; Full time

Benefits offered by this job

Competitive benefits and growth

Performance-based bonuses 12% 401(k)

Health, dental, and vision insurance

Tuition reimbursement

Career development opportunities

Job summary

AVANGRID Management Company, LLC is seeking a Senior Manager to lead AI engagement and transformation efforts, partnering with business, IT, and Data & AI teams to define value-driven use cases and adoption roadmaps.

You will shape AI-enabled processes, support AI literacy, oversee governance, and ensure measurable outcomes while coordinating with asset management, grid operations, and customer experience teams.

Qualifications

• Bachelor’s degree with at least ten years of relevant experience; equivalent education/experience considered.
• Experience in power and utilities or adjacent heavy-asset industries.
• Proven success delivering cross-functional digital or AI initiatives in enterprise environments.
• Background in business analysis, business architecture, operations, or engineering with practical data/AI delivery familiarity.
• Strong business and domain knowledge including utility assets and operations.
• Ability to facilitate cross-functional workshops and drive adoption through change plans.
• Embed governance, ethics, and compliance practices including explainable AI and privacy by design.
• Strong measurement skills with ROI and value realization focus.
• Experience supporting AI/automation from pilot to production with testing and monitoring.
• Excellent communication across executive, business, IT, and quantitative stakeholders

Responsibilities

• Lead AI engagement activities—workshops to identify and prioritize transformation opportunities.
• Translate opportunities into AI-enabled use cases, roadmaps, and plans.
• Define KPIs and track value realization and ROI for initiatives.
• Coordinate with data scientists and domain stewards for AI-ready data and governance.
• Ensure governance, risk, and vendor compliance across projects.
• Oversee pilot-to-production transitions and ongoing model validation.
• Communicate progress to executives and align stakeholders across functions.

Skills

AI engagement

Transformation

Stakeholder management

Governance & compliance

Data & AI readiness

Program management

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science/Data Science/related field

Job description

Location: In office 5 days a week in Orange, CT or Boston, MA. The base salary range for this position is dependent upon experience and location, ranging from: $163,360 to $204,200 in Orange, CT $170,800 to $213,500 in Boston, MA

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

Job Summary

The Senior Manager – AI Engagement & Transformation leads business engagement and process transformation efforts that deliver measurable outcomes. This role partners with business stakeholders, IT, and Data & AI teams to identify high‑value use cases, translate business needs into scalable AI‑enabled process improvements, and drive adoption of AI solutions that deliver measurable outcomes. The role engages business areas to shape AI use cases, support AI literacy and enablement, facilitate process redesign, and ensure solutions are implemented with appropriate governance, value tracking, and sustainable operating practices. It requires strong leadership, stakeholder management, transformation execution, and the ability to explain complex AI concepts in practical, business‑focused terms. This position reports to the Sr. Director – Data, AI Strategy & Adoption.

Key Responsibilities

• Business engagement & co‑design: 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.
• Business capability mapping & prioritization: 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 high‑impact areas such as asset lifecycle optimization and customer experience management for digital enablement and value realization.
• Data, model, and orchestration readiness: 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.
• Governance, risk, and compliance liaison: Embed AI governance and risk controls into project lifecycles, including explainability, fairness, privacy, and security; require vendor documentation and lifecycle support; and support enterprise AI governance boards.
• Program measurement & monitoring: Define and track KPIs linked to business outcomes, operational diagnostics, AI agent effectiveness, and adoption metrics; report progress and value realization to executives.
• Vendor engagement: Evaluate vendor pricing, licensing, SLAs, and exit terms; collaborate with IT, platform providers, and procurement to ensure transparency, data return provisions, and lifecycle support.
• Operationalize and sustain: Support pilot‑to‑production transitions, ensure testing and production monitoring, and coordinate ongoing model validation, drift detection, and lifecycle maintenance.

Required Qualifications

• 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.

Preferred Qualifications

• Master’s degree in Computer Science, Data Science or a related field or a related field

Competencies

• Growth & Continuous Improvement
• Initiative & Change Focused on Results
• Customer Centric (internal and/or external)
• Communication
• Collaboration
• Leadership (people managers/leaders) #LI-OFFICE #LI-ER1

Company Information

Company: AVANGRID MANAGEMENT COMPANY, LLC.

Mobility Information Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.

If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at [e-mail].

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee’s management.

Job Posting End Date: October-31-2026

We are one of the main energy companies in the world, a leader in renewables, which champions the energy transition towards a low‑emissions economy. We supply energy to nearly 100 million people in dozens of countries and develops its renewable, network and commercial activities in Europe (Spain, the United Kingdom, Portugal, France, Germany, Italy and Greece), the United States, Brazil and Australia and maintains markets such as Japan and Poland, among others, as growth platforms.