Principal - Data Science & Architecture

Principal Data & Science Architecture

Location:

Orange, CT;
Rochester, NY, Binghamton, NY;
Augusta, ME.

Number of Positions: 1

Work type:
Office

The salary range for this position is dependent upon experience and location, ranging from:

• CT: $148,160 - $185,200
• NY / ME: $134,720 - $168,400

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

Job Summary

This position provides leadership to managers and supervisors for all daily operations of AVANGRID Networks Energy Control Centers. Responsible for maintaining the safety, reliability, and security of the Company's electric and gas transmission and distribution systems. Oversee the use of the Energy Control System (ECS) and Gas SCADA System. Develops departmental goals related to corporate goals and objectives.

Responsibilities:

• Lead the design and development of advanced ML/AI solutions (GenAI, LLMs, NLP, classical ML, causal inference) that directly support Avangrid Networks' customer experience priorities: CSAT improvement, payment and collections, and contact deflection.
• Architect end-to-end ML systems on modern cloud platforms (Azure, Databricks), including feature stores, model registries, deployment pipelines, monitoring, and retraining workflows - establishing reference patterns for the broader Data Science & Analytics organization.
• Lead GenAI and agentic AI initiatives for both customer-facing (self-service) and agent-assist applications, including RAG architectures, retrieval pipelines, evaluation frameworks, and responsible AI guardrails for the flagship Iberdrola initiatives.
• Partner closely with Data Engineering to define data product requirements, drive customer-oriented data infrastructure build-out, and ensure analytics-ready datasets across SAP, CC&B, AMI, contact center, and digital platforms.
• Collaborate closely with technical leads in Customer Service, Elec/Gas Operations, Digital Platforms, Regulatory, and IT to translate business needs into AI/ML solutions and embed them into production workflows.
• Serve as the data domain expert ("Lead SME") for customer, billing, contact, and consumption datasets—including data lineage, quality, and appropriate analytical use.
• Serve as technical lead and mentor for junior data scientists and analysts; review modeling approaches, code, and methodology; raise the technical bar across the team.
• Support regulatory filings, audits, rate cases, and PSC/DPU inquiries by delivering accurate, defensible, data-driven analysis and written narratives.
• Champion responsible AI practices, including model documentation, bias assessment, privacy compliance, and alignment with Avangrid's AI governance and Global AI Inventory standards.

Required Qualifications:

• Minimum of 10 years of experience in data science, data analytics, or mathematical modeling. Experience performing data science or mathematical modeling research as part of graduate work (MS and PhD) can count towards experience minimum.

Technical & Functional Skills:

• Demonstrated experience in the development or facilitation of AI models.
• Technical experience with specific data intelligence tools including relational databases (SQL), automated pipelines and processes (Python), integrated dashboards and applications (PowerBI, Streamlit).
• Advanced technical expertise with data science modeling techniques and approaches.
• Understanding of customer journey mapping, operational KPIs, and performance frameworks (e.g., Balanced Scorecard).
• Knowledge of regulatory and operational environments in energy/utilities and experience supporting rate case submissions and leading hearing discussions.
• Ability to manage multiple priorities in a complex, matrixed organization.
• Willingness to travel approximately 10% of the time across Avangrid locations.

Preferred Qualifications:

• Minimum of 3 years of experience in a regulated utility preferred.
• Experience with Generative AI and Large Language Models (LLMs)