Managing Solution Architect

Client is seeking an experiencedUtilities Data & AI Industry Consulting Solution Architectto join our North America Insights & Data organization.

This client-facing role will serve as atrusted advisor to utility executives and business leaders, helping clients define and execute Data & AI strategies that deliver measurable value across the Utilities value chain. The successful candidate will combine deep Utilities industry knowledge with expertise in Data, Analytics, Artificial Intelligence, Generative AI, Agentic AI, and solution architecture.

The Solution Architect will work with clients to identify high-value business opportunities, develop Data & AI strategies and transformation roadmaps, define solution architectures, and shape programs that improve operational performance, grid reliability, customer experience, asset management, and enterprise productivity.

The role will also supportconsultative sales, solution development, and executive oversight of strategic client engagements, ensuring continuity from business strategy and solution design through implementation and value realization.

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 experiencein Utilities, Data & AI, technology consulting, solution architecture, or related disciplines.
• Strong understanding of theUtilities 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 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.

Bachelor's degree required; Master's degree preferred.