Data Architect - Power & Utilities - Manager- Consulting

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

6 days ago
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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.

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. 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 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.

• Effectively manage and deliver 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.
• Lead and mentor a team of data architects and engineers, guiding others and interpreting internal/external issues to recommend quality solutions.
• Design, architect, and present findings and solutions, leading junior team members and working with a wide variety of clients to sell and lead delivery of technology consulting services.
• Act as a trusted advisor, establishing credibility with clients’ senior decision makers and EY teams on data strategy and analytic technology solutions.
• Engage with senior business leaders to understand and shape their goals and analytic requirements.
• Collaborate with cross‑functional teams (Data Scientists, Business Analysts, IT 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, understand use cases, brainstorm solutions, and align on 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 a culture of innovation, collaboration, and continuous improvement.
• Establish data governance policies, including security, quality, and lifecycle management.
• Stay abreast of industry trends and emerging technologies, recommending innovations to enhance capabilities.

• Technical skills in application integration, cloud computing and architecture, data architecture design and modeling, data integration and quality, AI/Agentic AI data operations.
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
• Trusted advisor to senior decision makers and EY teams on data strategy and analytic solutions.
• Critical thinking and solutioning, communicating with impact at all levels.
• Ability to influence and collaborate across functions to drive data‑centered outcomes.
• Leadership and mentorship, with a culture of continuous improvement.
• Knowledge of data governance, security, and lifecycle management.

• Bachelor’s degree in STEM.
• 8+ years professional consulting experience in industry or technology consulting.
• 8+ years hands‑on experience in architecting, designing, delivering or optimizing data lake solutions.
• 3+ years experience with native cloud products (Azure or GCP).
• 5+ years mentoring and leading teams of data architects and engineers.
• In‑depth knowledge of data architecture principles and best practices, including modeling,…