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Workforce Management Real Time Analyst Jobs Near Me

Chipotle

Analyst, Real Estate Strategy

Columbus, OH · On-site

$67K - $95K/yr

Support Real Estate Managers by preparing analysis and forecasts to inform site selection and ... time, and much more. Visit for more details. WHO WE ARE Chipotle Mexican Grill, Inc. (NYSE: CMG) is ...

Deloitte

UKG PRO HCM Senior Consultant

Columbus, OH · On-site

... a workforce management implementation, including business analysis, functional specification, system configuration, design, testing, cutover, and hypercare * 4+ years of experience leading ...

Nationwide

VP, Corporate Real Estate

Columbus, OH · Hybrid

... management, risk-informed investment decisions, and operational excellence * Modernizing CRE ... Nationwide's industry-leading workforce embraces a collaborative culture to deliver outstanding ...

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How much do workforce management real time analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for workforce management real time analyst in the United States is $97,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $132,500.00 per year, depending on experience, location, and employer.

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Workforce Management Real Time Analyst jobs near you
A map of the United States highlighting the number of Workforce Management Real Time Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Workforce Management Real Time Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Managing Solution Architect

Columbus, OH • On-site

Purple Drive Technologies LLC
IT Services • 51 - 200 employees
Learn more about Purple Drive Technologies LLCexternal

$58.75 - $77.50/hr

Other

Posted 3 days ago

New

Job description

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.

Apply