Data Architect - Power & Utilities - Manager- Consulting
Listed on 2026-02-07
-
IT/Tech
Data Engineer, Data Science Manager
Data Architect – Power & Utilities – Manager – Consulting –
Location:
OPEN
2 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 to build a better working world.
AI & Data – Data Architecture – Manager – Power & Utilities SectorEY 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, and Agentic AI. Preferably with a power systems / electrical engineering background and a track record of delivering business use cases in Transmission, Distribution, Generation, or Customer domains.
The ideal candidate will have a history of working for consulting firms and be well‑versed in a fast‑paced consulting culture. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large‑scale AI‑ready architectures.
You will help clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will lead and develop your skill set to keep pace with the evolving demands of modern data platforms. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for clients.
This is a high‑growth, high‑visibility role with plenty of opportunities to enhance your skillset and build your career.
Key Responsibilities
- 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.
- Supervise professional employees or team members to deliver complex technical initiatives; apply depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
- Design, architect, and present findings and solutions while leading junior team members and working with a wide variety of clients to sell and lead delivery of technology consulting services.
- Serve as a trusted advisor, engaging with C‑level leaders and constructively challenging them to drive digital transformation.
- Technical skills:
Applications integration; cloud computing and architecture; data architecture design and modelling; data integration and quality; AI/Agentic AI‑driven data operations. - Experience delivering business use cases in Transmission, Distribution, Generation, or Customer domains.
- Mentor senior decision‑makers within EY and clients, shaping data strategy and analytic solutions.
- Engage with senior business leaders to understand goals and information needs.
- Collaborate across functions—data scientists, business analysts, IT teams—to define requirements and implement aligned data strategies.
- 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, including security, quality, and lifecycle management.
- Stay abreast of emerging technologies and recommend innovations.
- A bachelor’s degree in STEM.
- 8+ years professional consulting experience.
- 8+ years hands‑on experience 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.
- Demonstrated experience leading large data engineering teams.
- Hands‑on coding skills in Python, Java, or Scala.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Version control (Git) and Dev Ops practices.
- Knowledge of security best practices and data…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).