Data Architect - Power & Utilities - Manager- Consulting
Listed on 2026-01-11
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IT/Tech
Data Engineer, Data Science Manager
Data Architect - Power & Utilities - Manager
- Consulting - Location OPEN
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, Agentic AI. Preference is given to candidates with a power systems / electrical engineering background and those having delivered business use cases in Transmission, Distribution, Generation, and Customer domains.
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‑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 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.
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
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. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal or external issues to recommend quality solutions.
Your responsibilities will include:
- Design and architect data solutions to support transactional, operational, analytical, and AI workloads.
- Lead and mentor junior team members and cross‑functional teams (data scientists, business analysts, IT).
- Engage with senior business leaders to understand and shape their goals and corresponding analytic requirements.
- Collaborate with stakeholders to define data requirements, design solutions, and implement data strategies.
- Lead workshops and design sessions to capture use cases, personas, and business processes.
- Establish and enforce data governance and security policies.
- Stay abreast of industry trends and recommend innovations to enhance capabilities.
- Technical skills in applications integration, cloud computing, data architecture design and modelling, data integration and quality, AI‑driven data operations.
- Experience delivering business use cases in Transmission, Distribution, Generation, and Customer.
- Trusted advisor to senior decision makers and internal teams on data strategy.
- Excellent communication and thought‑leader ability to engage with C‑level executives.
- Collaboration with cross‑functional teams and workshop facilitation.
- Experience with modern data architectures, data lakes, data warehouses, and pipelines.
- Leadership of…
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