Data Architect - Power & Utilities - Manager- Consulting

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

Join to apply for the Data Architect - Power & Utilities - Manager
- Consulting - Location OPEN role at EY
.

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.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Manager who possesses a robust background in Data Architecture, Data Modernization, end‑to‑end data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well‑versed in the fast‑paced culture of consulting work.

This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large‑scale AI data‑ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever‑growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients.

This is a high‑growth area and a high‑visibility role with plenty of opportunities to enhance your skillset and build your career.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.

Your responsibilities will include:

• Designing, architecting, and presenting data solutions and AI/ML data pipelines.
• Leading and mentoring junior team members and cross‑functional teams.
• Coaching clients on data strategy and analytics capabilities.
• Managing project timelines, budgets, and quality.
• Ensuring data governance, security, quality, and lifecycle management.

• Technical
  
  Skills:
  
  Applications Integration
• Cloud Computing and 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
• Trusted advisor to senior decision makers
• Engage with senior business leaders to understand their goals and objectives
• Collaborate with cross‑functional teams to define data requirements
• Organize and lead workshops and design sessions with stakeholders
• Lead the design and implementation of modern data architectures
• Direct and mentor global data architecture and engineering teams
• Establish data governance policies and practices
• Stay abreast of industry trends and emerging technologies

• A Bachelor’s degree required in STEM
• 8+ years professional consulting experience in industry or in technology consulting
• 8+ years hands‑on experience in architecting, designing, delivering or optimizing data lake solutions
• 3+ years experience with native cloud products and services such as Azure or GCP
• 5+ years of experience mentoring and leading teams of data architects and data engineers
• In‑depth knowledge of data architecture principles and best practices
• Demonstrated experience in leading large data engineering teams
• Hands‑on experience in designing end‑to‑end architectures and pipelines
• Proficiency in data modelling techniques and appropriate…