Senior Manager - AI Process Design

The base salary range for this position is dependent upon experience and location, ranging from $163,360 to $204,200

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

For more information please visit: Benefits - Avangrid

Job Summary

The Senior Manager - AI Process Design role is responsible for leading the process design development, optimization, operationalize and scaling of the AI-driven business processes to drive measurable outcomes and reduce AI risk across the utility enterprise; act as the primary translator between business stakeholders (operations, OT, customer teams), Data/AI, and Enterprise Architecture to prioritize capability-led AI initiatives, ensure AI ready data and governance, and enable adoption at scale.

The Senior Manager - AI Process Design role reports into the Director- Data, AI Strategy & Adoption.

Key Responsibilities

• Business capability mapping & prioritization: Map technology and AI opportunities to business capabilities; prioritize high‑impact capabilities (e.g., Optimize Asset Life Cycle, Manage Customer Experience) for digital/AI enablement and value realization.

• Use‑case definition & value framing: Translate operational problems into measurable AI use cases (predictive maintenance, outage prediction, demand forecasting, conversational self‑service), define success metrics and ROI, and validate vendor performance claims and benchmarks.

• Stakeholder engagement & co‑design: Lead cross‑functional workshops and co‑design sessions with business, OT, legal/compliance, HR and IT to secure alignment, co‑create implementation roadmaps and manage adoption risks.

• 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/ET systems; validate model robustness and integration with SCADA/ADMS/GIS where relevant.

• Governance, risk and compliance liaison: Embed AI governance and risk controls into project lifecycles (explainability, fairness, privacy, security), require vendor documentation and lifecycle support, and support enterprise AI governance boards.

• Program measurement & monitoring: Define and track KPIs tied to business outcomes (operational efficiency, reliability, customer satisfaction, cost‑to‑serve), operational diagnostics (cycle time, SLA adherence), AI agent effectiveness (performance, reliability) and adoption metrics; report progress to executives.

• Vendor & platform engagement: Evaluate vendor pricing, licensing, SLAs and exit terms; collaborate with platform providers and procurement to ensure transparency, data returns 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 or a related field and a minimum of ten (10) years of relevant experience. An equivalent combination of education and experience may be considered.

• Relevant experience in power & utilities or adjacent heavy asset industries with exposure to OT/SCADA/ADMS environments and asset management programs.

• Proven track record delivering cross functional digital/AI initiatives or productized data products in enterprise environments.

• Recommended background mix: business analysis/architecture, operations or engineering experience plus familiarity with data/AI project delivery; education in engineering, computer science, data science, business or equivalent experience.

• Business & domain acumen: Deep understanding of utility business capabilities (asset management, grid operations, customer experience, DERs) and operational constraints (safety, regulatory context).

• Stakeholder facilitation & change leadership: Proven ability to run cross functional workshops, co-design processes with OT/operations, HR and legal, and drive adoption through human centric change plans.

• Governance, ethics & compliance: Ability to operationalize XAI, fa