Data Architect - Aerospace, Defense & Mobility - Senior Manager - Consulting

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 build a better working world.

You will help our clients enable better business outcomes while working in the rapidly growing automotive and aerospace 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 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. 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.

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.

Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem‑solving to 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. You will be the go‑to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies.

You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe‑to‑toe with the C‑level in our clients and prospects and willing and able to constructively challenge them.

• Technical Skills Applications Integration
• Cloud Computing and Cloud Computing Architecture
• Data Architecture Design and Modelling with experience in Unified Namespace
• Data Integration and Data Quality
• AI/Agentic AI driven data operations with experience in MCP
• Physical AI and robotics simulation and/or implementation
• Experience delivering business use cases in Supply Chain / Manufacturing / Customer Growth.
• Strong relationship management and business development skills.
• Become 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…