Senior Manager - Advanced Technology
Listed on 2026-05-21
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IT/Tech
AI Engineer (Applied/Software), IT Project Manager, Cloud Computing
The base salary range for this position is dependent upon experience and location, ranging from $141,440 to $176,800.
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
The Digital Transformation & Optimization (DTO) team is a cross‑functional team focused on improving projects, processes, systems, and tools with the goal of obtaining positive and quantitative business results. This area is responsible for defining, standardizing, implementing, and continuously improving processes, systems, and tools to develop sustainable efficiencies and continuous improvement throughout the value chain of the business. The Technology area, as part of the Digital Transformation & Optimization department, oversees the Digital Center of Excellence to ensure Power technology is deployed efficiently and effectively, using the right technology, deployed under the correct operational model, and meeting business requirements.
The Sr. Manager, Advanced Computing and AI is a key role within DTO and overall for the full company. This role is ultimately responsible for leading Avangrid Power Artificial Intelligence program. This leader converts complex operational requirements into scalable, secure, and cost‑effective AI‑powered tools enabling enhanced business value and faster innovation in trading applications, Growth Solutions, and O&M digital tools.
The role blends technical depth with product mindset, vendor management, and people leadership, building on the Advanced Technology foundation already in place.
- Understand Avangrid Power business, goals, and objectives, and define AI digital technologies programs for the full value chain. Focus on Advance Operations, Asset & Energy Management digitalization, and support to Growth functions, while ensuring digital solutions modernization and Optimization.
- Develop and implement all Power AI digital programs, ensuring they align with organizational goals and regulatory requirements, and develop, maintain, and implement the AI Technology Roadmap.
- Architect and deliver compute stacks for AI/ML (training/inference), physics‑based modeling, and streaming analytics, prioritizing reliability, scalability, and total cost of ownership.
- Lead a team of 4 direct reports and 20+ indirect reports delivering excellent service to the Avangrid Power business. Build and lead a high‑performing team of platform engineers, ML engineers, prompt/agent engineers, and SREs; provide technical direction, coaching, and career development.
- Fully integrate in the business and collaborate with Power Directors and VP levels to determine AI digital needs, capture requirements, ensure correct deployment, obtain enhancement opportunities, and report operational indicators.
- Manage coordination between technology providers and the whole Power business needs, including but not limited to infrastructure provisioning required to build digital solutions, Avangrid business/users technology needs, and secure integration of digital within the company technology ecosystem.
- Manage Technologies Lifecycle Management, including implementing deployment methodologies required for different Digital Project executions. Ensure the use of common development standards, methodology, and tools.
- Oversee day‑to‑day technology operations, ensuring high availability, reliability, and performance.
- Deliver excellent levels of AI operational stability and reliability to digital platforms. Establish run‑books and observability for platform health; own incident response and continuous improvement; provide operational support to technology operations; foster a culture of continuous transformation.
- Provide leadership and oversight on all aspects of the area, including AI technical engineering, operational readiness, early adopter and pilot programs, technology transition and transformation, communications, technology adoption, service delivery, and service support.
- Define…
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