Data Architect - Power & Utilities - Senior Manager- Consulting

Overview

Data Architect - Power & Utilities - Senior Manager
- Consulting - Location OPEN

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 to build a better working world.

AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector. EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager with a robust background in Data Architecture, Data Modernization, end-to-end data capabilities, AI, Gen AI, and Agentic AI, preferably with a power systems / electrical engineering background and delivering business use cases in Transmission / Distribution / Generation / Customer.

This role focuses on crafting, deploying, and maintaining large-scale AI data-ready architectures for the utilities sector.

The opportunity includes leading transformative technology projects, managing timelines and budgets, coaching teams, and engaging with external clients to build relationships in the sector. You will apply knowledge of Agile and Waterfall project delivery and help clients achieve better business outcomes while growing your own skill set in modern data platforms.

• Lead the effective management and delivery of one or more processes, solutions, and projects with a focus on quality and risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Manage professional staff or supervise team members to deliver complex technical initiatives, applying depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
• Design, architect, and present findings and solutions as Data Architect – Senior Manager; lead junior team members and work with clients to sell and deliver technology consulting services.
• Be a trusted advisor with broad understanding of digital transformation initiatives, analytic technology landscape, industry trends, and client motivations; constructively challenge executives when needed.
• 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; establish data governance policies and practices including data security, quality, and lifecycle management.

• 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.
• Ability to engage with senior leaders, understand goals, and translate them into information needs and analytic requirements.
• Collaboration with cross-functional teams to define data requirements, design solutions, and implement data strategies aligned with client objectives.
• Facilitation of workshops and design sessions with stakeholders to capture requirements and align on data architecture strategies.
• Leadership of design and implementation of modern data architectures; mentoring, innovation, and continuous improvement.
• Establish data governance, security, and lifecycle management; stay current on industry trends and technologies.

• A Bachelor’s degree required in STEM
• 12+ years professional consulting experience in industry or technology consulting
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions
• 5+ years’ experience with native cloud products and services such as Azure or GCP
• 8+ years mentoring and leading teams of data architects and data engineers
• In-depth knowledge of data architecture principles including data modelling, data warehousing, data lakes, and data integration
• Experience leading large data engineering teams with complex architectures and diverse features
• Hands-on experience designing…