Data Architect - Power & Utilities - Senior Manager - Consulting
Listed on 2026-06-24
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IT/Tech
Data Engineering
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.
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 skillset and build your career.
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/external issues to recommend quality solutions.
These responsibilities include:
- Expert understanding of data architecture and data engineering, focused on problem‑solving to 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.
- Acting as a go‑to resource for understanding clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies.
- Helping to win new business for EY, serving as a trusted advisor with broad understanding of digital transformation initiatives, analytic technology landscape, industry trends and client motivations.
- Communicating with senior decision makers and internal EY teams, engaging with C‑level in our clients and prospects, and constructively challenging them.
- Technical skills:
Applications integration;
Cloud computing and 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, establishing credibility in data strategy and analytic technology solutions.
- Engage with senior business leaders to understand and shape goals, objectives, and 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 with stakeholders to capture requirements, use cases, personas, key business processes, and align on data architecture strategies and projects.
- Lead design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of 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 and enhancements.
- Bachelor’s degree 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…
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