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

About the role

EY is seeking a Senior Manager with a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a controls systems / electrical engineering background and having delivered business use cases in Supply Chain / Manufacturing / Customer Growth. The role is dedicated to the mobility and manufacturing sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

Responsibilities

• Manage timelines, costs, and quality for complex technical initiatives.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Lead and develop your skill set to keep up with the ever-growing demands of the modern data platform.
• Solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for clients.
• 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.
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
• Design data solutions that can scale horizontally and vertically while optimizing performance.
• Manage Infrastructure and Security engineers and architects in overall platform build.
• Develop and manage 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.

  Requirements

  • 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.
  • 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.
  • Excellent leadership, communication, and project management skills.
  • Data Security and Database Management.
  • Enterprise Data Management and Metadata Management.
  • Ontology Design and Systems Design.
  • A 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.
  • Client Trust and Value and Commercial Astuteness.
  • Communicating With Impact and Digital Fluency.

    Qualifications

    • 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

    Skills and Attributes for Success

    • 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.
    • 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.
    • Excellent leadership, communication, and project management skills.
    • Data Security and Database Management.
    • Enterprise Data Management and Metadata Management.
    • Ontology Design and Systems Design.
    • A 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.
    • Client Trust and Value and Commercial Astuteness.
    • Communicating With Impact and Digital Fluency.

    Pay

    FY27NATAID 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.

    Schedule

    Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

    Benefits

    Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. 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.

    Join us in our team-led and leader-enabled hybrid model.

    We expect most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

    What We Offer You

    At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

    Equal Employment Opportunity

    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.

    Emotional Agility and Hybrid Collaboration

    Key to success in this role is the ability to demonstrate emotional agility and hybrid collaboration skills.

    Building and Managing Relationships

    • Client Trust and Value and Commercial Astuteness
    • Communicating With Impact and Digital Fluency

    Additional Information

    For those living in California, please click here for additional information.

    Ethical Standards and Integrity

    EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

    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. Enabled by data, AI and advanced technology, 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.