Data Architect - Power & Utilities - Senior Manager- Consulting
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Science Manager -
Engineering
Data Engineer, Data Science Manager
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.
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 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 or electrical engineering background, and having delivered business use cases in Transmission, Distribution, Generation, or 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.
OpportunityYou 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 skill set and build your career.
Key Responsibilities
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.
- Lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes.
- Provide assurance to leadership by managing timelines, costs, and quality.
- Lead both technical and non‑technical project teams in the development and implementation of cutting‑edge technology solutions and infrastructure.
- Build and maintain relationships with external clients and stakeholders.
- Coach others and propose solutions to technical constraints using Agile and Waterfall methodologies.
- Interpret internal and external issues to recommend quality solutions and guide team members.
- Technical Skills – Applications Integration, Cloud Computing 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 and internal EY teams.
- Engage with senior business leaders to understand and shape goals and objectives.
- Collaborate with cross‑functional teams (Data Scientists, Business Analysts, IT) to define data requirements.
- Organize and lead workshops and design sessions with stakeholders.
- Lead 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.
- Stay abreast of industry trends and emerging technologies.
- 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 of experience mentoring and leading teams of data architects and data engineers.
- In‑depth knowledge of data architecture principles and best practices.
- Demonstrated experience leading large data engineering teams.
- Hands‑on experience in designing end‑to‑end architectures and pipelines.
- Proficiency in data modelling techniques and architectural design patterns.
- Manage complex data analysis,…
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