Data Architect- Aerospace, Defense, and Mobility Sector - SeniorManager-Consulting - Open Location

Position Overview: EY is seeking a motivated Senior Manager with solid experience in the automotive and aerospace sector, a robust background in Data Architecture, Data Modernization, end‑to‑end data capabilities, AI, Gen AI, and Agentic AI, preferably having delivered business use cases in Finance or Supply Chain. 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 mobility and manufacturing 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 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.

Key Responsibilities: 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. 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. Be face‑to‑face with external clients and build new and existing relationships in the sector. Apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. 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.

Responsibilities: (Detailed) As Data Architect – Senior Manager, have an expert understanding of data architecture and data engineering; focus on problem‑solving to design, architect, and present findings and solutions; lead junior team members; and work with a wide variety of clients. Act as the go‑to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. Help win new business for EY, acting as a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. Communicate as a charismatic leader, capable of engaging with C‑level executives and challenging them constructively. Skills and Attributes for Success

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 / Finance Strong relationship management and business development skills Become a trusted advisor to clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy 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, 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 to enhance our capabilities QualificationsA 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, 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 optimisations 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 optimising performance Experience with containerisation 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 Excellent leadership, communication, and project management skills Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems DesignIdeal Qualifications Master's degree in Electrical / Mechanical Systems Engineering, Computer Science, Robotics, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience Experience working at big 4 or a major manufacturer Experience with cloud data platforms like Databricks Experience in leading and influencing teams, with a focus on mentorship and professional development A 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 Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What We Look For We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. Salary RangeNew York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000 Bay Area California offices – $180,000 to $374,000 All other offices locations in the US, including Sacramento – $144,000 to $329,100

Benefits: Individual salaries within these 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. Company Culture EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at. We are committed to providing a positive work environment and encouraging a career path that is healthy and fulfilling for all our employees.