Data Architect - Power & Utilities - Senior Manager - Consulting

Location:

Anywhere in Country

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.

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 skillset and build your career.

As a Senior Manager in Data Architecture, you will 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.

• Manage the effective delivery of 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.
• Supervise professional employees or team members to deliver complex technical initiatives.
• Guide others and interpret internal/external issues to recommend quality solutions.
• Plan and execute data architecture designs, present findings and solutions, and manage business relationships.
• Contribute to new business opportunities and act as a trusted advisor to senior clients.

• Application integration
• Cloud computing & cloud architecture
• Data architecture design and modeling
• 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 on data strategy and analytic technology solutions.
• Engage with senior business leaders on information needs and analytic requirements.
• Collaborate with cross‑functional teams (Data Scientists, Business Analysts, IT) to define requirements and implement strategies.
• Organize and lead workshops and design sessions.
• Lead the design and implementation of modern data architectures for transactional, operational, analytical, and AI solutions.
• Direct and mentor global data architecture and engineering teams.
• Establish data governance policies and practices.
• Stay abreast of industry trends and emerging technologies.

• A Bachelor’s degree required 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 data architecture principles and best practices
• Demonstrated experience leading large data engineering teams to design and build platforms with complex architectures
• Hands‑on experience designing end‑to‑end…