Data Architect - Power & Utilities - Senior Manager- Consulting
Listed on 2026-01-11
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IT/Tech
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 to 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, and Agentic AI. Preferably with a power systems / electrical engineering background and a proven track record of delivering business use cases in Transmission, Distribution, Generation, and Customer.]
The role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large‑scale AI data‑ready architectures.
OpportunityYou 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, solving complex analytical problems and enabling ML and AI at scale for your clients. This high‑growth, high‑visibility role offers ample opportunities to enhance your skillset and build your career.
YourKey Responsibilities
- Lead the effective management and delivery of one or more processes, solutions, and projects with a focus on quality and risk management.
- Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
- Manage and supervise professional employees or team members to deliver complex technical initiatives.
- Apply deep expertise in data architecture and engineering to design, architect, and present findings and solutions.
- Act as the go‑to resource for understanding clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies.
- Help win new business for EY and serve as a trusted advisor to senior decision‑makers.
- Engage with senior business leaders to understand and shape their goals and objectives, as well as their 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 to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies.
- Lead the 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 and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations to enhance capabilities.
- Technical Skills – Applications Integration
- Cloud Computing – Cloud 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, and Customer
- Strong relationship management and business development skills
- Trusted advisor to senior decision‑makers and internal teams
- Engage with senior business leaders on goals, objectives, and analytic requirements
- Collaborate with cross‑functional teams to define data requirements and implement strategies
- Workshop and design session facilitation with stakeholders and partners
- Modern data architecture implementation across transactional, operational, analytical, and AI workloads
- Mentor and lead global data architecture and engineering teams
- Establish data governance, security, quality, and lifecycle policies
- Stay current on industry…
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