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Data Architect - Power & Utilities - Senior Manager- Consulting

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: EY
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN

Data Architect – Power & Utilities – Senior Manager, Consulting

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Job Overview

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager. The role requires a robust background in Data Architecture, Data Modernization, End‑to‑End Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems or electrical engineering background, and a proven record of delivering business use cases in Transmission, Distribution, Generation, and Customer domains.

The ideal candidate will have a history of working for consulting firms and be well‑versed in the fast‑paced culture of consulting work.

Your Key Responsibilities

  • Manage the effective delivery of one or more processes, solutions, and projects with a focus on quality and effective risk management.
  • Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
  • Supervise professional employees or team members to deliver complex technical initiatives, applying depth of expertise to guide others and recommend quality solutions.
  • Design, architect, and present data solutions, leading junior team members and engaging a wide variety of clients to sell and deliver technology consulting services.
  • Act as a trusted advisor, establishing credibility with senior decision‑makers and internal EY teams on data strategy and analytic technology solutions.
  • Engage with senior business leaders to understand and shape goals, information needs, and analytic requirements.
  • Collaborate with cross‑functional teams to define data requirements, design solutions, and implement data strategies aligned with client objectives.
  • Organize and lead workshops and design sessions with stakeholders to capture requirements, use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  • Lead the design and implementation of modern data architectures supporting transactional, operational, analytical, and AI solutions.
  • Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  • Establish data governance policies and practices, including data security, quality, and lifecycle management.
  • Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements.

Skills and Attributes for Success

  • Technical Skills – Applications Integration
  • Cloud Computing and Cloud Architecture
  • Data Architecture Design and Modelling
  • Data Integration and Data Quality
  • AI/Agentic AI‑driven data operations
  • Experience delivering business use cases in Transmission / Distribution / Generation / Customer
  • Strong relationship management and business development skills
  • Trusted advisor to senior decision‑makers, establishing credibility in data strategy
  • Engage with senior business leaders to understand goals and analytic requirements
  • Collaborate with Data Scientists, Business Analysts, and IT teams to design solutions.
  • Lead workshops and design sessions with stakeholders to capture requirements and align on data architecture strategies.
  • Lead the design and implementation of modern data architectures for transactional, operational, analytical, and AI solutions.
  • Direct and mentor global data architecture and engineering teams, fostering innovation, collaboration, and continuous improvement.
  • Establish data governance policies, including security, quality, and lifecycle management.
  • Stay current with industry trends, recommending innovations and improvements to enhance capabilities.

Qualifications

  • Bachelor’s degree in STEM (required)
  • 12+ years professional consulting experience (industry or technology consulting)
  • 12+ years hands‑on experience architecting, designing, delivering, or optimizing data lake solutions
  • 5+ years experience with native cloud products and services such as Azure or GCP
  • 8+…
Position Requirements
10+ Years work experience
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