Managing Solution Architect

Key Responsibilities

• Serve as a trusted Data & AI advisor to executives and business leaders across electric, gas, and multi-utility organizations.
• Lead client workshops and consulting engagements to define Data & AI strategies, transformation roadmaps, use-case portfolios, business cases, and investment priorities.
• Identify opportunities to apply Data, AI, Generative AI, and Agentic AI to improve business performance and create measurable value across the Utilities value chain.
• Architect Data & AI solutions across key utility domains, including Customer and Meter-to-Cash, Transmission and Distribution, Grid Operations, Asset Management, Field Operations, Power Generation, Renewables, Distributed Energy Resources, and Capital Projects.
• Define solution architectures integrating Data & AI capabilities with utility platforms such as CIS, AMI, GIS, OMS, ADMS, DERMS, EAM, ERP, CRM, work management, and enterprise data platforms.
• Advise clients on modern data platforms, data products, analytics, AI platforms, knowledge management, real-time data, AI governance, Responsible AI, and enterprise AI architectures.
• Develop business and value cases connecting Data & AI investments to outcomes including reliability, resilience, customer experience, workforce productivity, asset performance, operational efficiency, and capital effectiveness.
• Partner with Capgemini account and delivery teams to shape strategic Data & AI opportunities, proposals, RFP responses, executive presentations, and client solutions.
• Provide executive and architectural oversight of strategic client engagements to ensure solutions remain aligned with the client's business objectives, architecture, and expected outcomes.
• Collaborate across Capgemini consulting, architecture, data engineering, data science, AI engineering, application, and delivery teams to develop and deliver integrated client solutions.

Required Skills and Expereince

• 5-10+ years of experience in Utilities, Data & AI, technology consulting, solution architecture, or related disciplines.
• Strong understanding of the Utilities industry and value chain, including electric and/or gas utilities.
• Experience across utility domains such as Customer, Meter-to-Cash, Transmission, Distribution, Grid Operations, Asset Management, Field Operations, Power Generation, Renewables, and Distributed Energy Resources.
• Knowledge of utility platforms and operational systems, including CIS, AMI, GIS, OMS, ADMS, DERMS, EAM, ERP, CRM, and enterprise data platforms.
• Strong understanding of Data & AI capabilities, including data engineering, analytics, machine learning, Generative AI, Agentic AI, real-time analytics, knowledge management, and modern enterprise data architectures.
• Experience developing Data & AI strategies, roadmaps, business cases, solution architectures, or enterprise transformation programs.
• Experience with leading cloud, data, and AI platforms such as Microsoft Azure, AWS, Google Cloud, Databricks, Snowflake, or equivalent technologies.
• Strong consultative, executive communication, presentation, and client relationship skills, with the ability to translate complex technology concepts into business outcomes.
• Experience supporting consultative sales, solution development, proposals, and complex Data & AI transformation opportunities.
• Ability to work across multidisciplinary teams and provide leadership from strategy and solution development through delivery.
• Ability to travel to client locations as required.