Data Architect - Power & Utilities - Senior Manager- Consulting
Listed on 2026-01-13
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IT/Tech
Data Engineer, Data Science Manager
Data Architect – Power & Utilities – Senior Manager – Consulting – Location OPEN
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 / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / 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. 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 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.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non‑technical project teams in the development and implementation of cutting‑edge technology solutions and infrastructure. You will have the opportunity to be face‑to‑face with external clients and build new and existing relationships in the sector.
Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Key Responsibilities
- Effective management and delivery of 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 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 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.
- Serve as a trusted advisor with a broad understanding of digital transformation initiatives, analytic technology landscape, industry trends, and client motivations.
- Engage with senior business leaders to understand and shape their goals, objectives, and corresponding 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 clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- 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 and…
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