Data Architect - Power & Utilities - Senior Manager- Consulting

Data Architect - Power & Utilities - Senior Manager
- Consulting - Location OPEN

EY

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.

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.

• 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.
• Manage professional employees or supervise team members to deliver complex technical initiatives.
• Design, architect, and present findings and solutions, leading more 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 to clients’ senior decision makers and EY teams, establishing credibility and expertise in data strategy and analytic technology solutions.
• Engage with senior business leaders to understand and shape their goals, information needs, and analytic requirements.
• Collaborate with cross‑functional teams (Data Scientists, Business Analysts, IT teams) to define data requirements, design solutions, and implement data strategies.
• 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 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 improvements.

• Technical skills:
  Applications integration, cloud computing architecture, data architecture design and modeling, data integration and 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 clients and internal teams in data strategy and analytic technology solutions.
• Business leadership skills engaging senior decision makers.
• Collaboration with cross‑functional teams to define data requirements and design solutions.
• Workshop and design session facilitation.
• Design and implementation of modern data architectures.
• Mentoring and leading global data architecture and engineering teams.
• Data governance, security, quality, and lifecycle management.
• Staying current with industry trends and emerging technologies.

• Bachelor’s degree in STEM.
• 12+ years professional consulting experience.
• 12+ years hands‑on experience architecting, designing, delivering or optimizing data lake solutions.
• 5+ years experience with native cloud products such as Azure or GCP.
• 8+ years experience mentoring and leading teams of data architects and engineers.
• In-depth knowledge of data architecture principles and best…