Data Architect - Power & Utilities - Manager- Consulting

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

6 days ago – Be among the first 25 applicants.

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.

AI & Data – Data Architecture – Manager – Power & Utilities Sector

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, and Customer. The ideal candidate has a history of working for consulting companies and is well‑versed in the fast‑paced culture of consulting work.

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

As a Manager in Data Architecture, you will lead transformative technology projects and programs that align with our organizational strategy, manage timelines, costs, and quality, and lead both technical and non‑technical project teams. Your specialized knowledge in Agile and Waterfall delivery methods will be instrumental in coaching others and proposing solutions to technical constraints.

• Effectively manage and deliver one or more processes, solutions, and projects, focusing on quality and risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Manage professional employees or supervise team members to deliver complex technical initiatives, guiding and interpreting issues to recommend quality solutions.
• Design, architect, and present solutions to clients, leading junior team membersifications and working with a wide variety of clients to sell and deliver technology consulting services.
• Act as the go‑to resource for understanding client problems, responding with appropriate methodologies and solutions, and winning new business for EY.

• Technical
  
  Skills:
  
  Applications Integration
• Cloud Computing & Architecture
• Data Architecture Design & Modelling
• Data Integration & Quality
• AI/Agentic AI‑driven data operations
• Experience delivering business use cases in Transmission, Distribution, Generation, and Customer.
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• Engage with senior leaders to shape goals, information needs, and analytical requirements.
• Collaborate across teams (Data Scientists, Business Analysts, IT) to define data requirements, design solutions, and implement data strategies aligned with client objectives.
• Organise and lead workshops, design sessions, and brainstorming sessions with stakeholders, capturing requirements, use cases, personas, key business processes, and aligning data architecture strategies.
• Lead design and implementation of modern data architectures supporting 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, security, quality, and lifecycle management.
• Stay abreast of industry trends, emerging technologies, and recommend innovations and improvements.

• Bachelor’s degree in STEM.
• 8+ years professional consulting experience in industry or technology consulting.
• 8+ years hands‑on experience architecting, designing, delivering or optimizing data lake solutions.
• 3+ years native cloud product experience (Azure, GCP).
• 5+ years mentoring and leading teams of data architects and engineers.
• In‑depth knowledge of data architecture principles and best practices.
• Experience leading large data engineering teams to design and build platforms with complex architectures and diverse features.
• Hands‑on experience designing end‑to‑end architectures and pipelines.
• Proficiency in data modelling…