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

EY · Providence, RI · 1 wk ago

On-siteEngineering$144k–$329k/yrFull-time

About the role

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.

Opportunity

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.

Key Responsibilities

Effective management and 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.
Manage professional employees or supervising team members to deliver complex technical initiatives, applying your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
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 to enhance our capabilities.

Skills and Attributes for Success

Technical Skills: Applications Integration, Cloud Computing and Cloud Computing 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.
Business Skills: Strong relationship management and business development skills, Becoming a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems, Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements, Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives, Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, 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.
Leadership and Communication: Excellent leadership, communication, and project management skills, Passion for innovation and the strategic application of emerging technologies to solve real-world challenges, The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

Qualifications

A Bachelor’s degree required in STEM.
12+ years professional consulting experience in industry or in 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, fostering a culture of innovation and professional development.
In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.

Pay and Benefits

The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.