Managing Solution Architect

Capgemini
Chicago, IL, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$180,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

ADMS (Software) Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Information Technology Consulting Information Engineering Data Infrastructure Data Integration Knowledge Management Machine Learning
+10 more
Enterprise Data Management Google Cloud Snowflake Generative AI AI Platforms Real Time Data Operational Systems Virtual Agents Stream Analytics Databricks

Job description

This client-facing role will serve as a trusted 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 support consultative sales, solution development, and executive oversight of strategic client engagements, ensuring continuity from business strategy and solution design through implementation and value realization., * 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.

Requirements

  • 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.

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

Benefits & conditions

The base compensation range for this role in the posted location is $180,000 to $220,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Capgemini is seeking an experienced Utilities Data & AI Industry Consulting Solution Architect to join our North America Insights & Data organization., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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