Managing Solution Architect
Job Location:
Columbus, NE - USA
Monthly Salary:
Not provided by the employer
Posted:
12 September 2026 (3 hours ago)
Application Deadline:
10 December 2026
Vacancies:
1 Vacancy
Job Summary
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 clients 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.