EY Data Engineer - Senior Manager Consulting Location Open 

United States, Texas, Dallas 

66455651

AI & Data - Data Engineer - Senior Manager

You will help our clients enable better business outcomes. 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 our AI and Data practice, you will lead data engineering initiatives, driving the design and implementation of robust data solutions for our clients. You will manage a team of data engineers, collaborating with cross-functional teams to deliver high-quality data products that support advanced analytics and AI applications.

Key Responsibilities:

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:

• Lead the development and optimization of data pipelines and architectures to ensure efficient data processing and integration.
• Oversee the design and implementation of data models, ensuring data quality and accessibility.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications.
• Manage project timelines, budgets, and resources, ensuring successful delivery of data engineering projects.
• Mentor and develop junior team members, fostering a culture of innovation and continuous improvement.
• Engage with clients to understand their business needs, providing strategic insights and solutions that align with their goals.
• Develop and execute go-to-market strategies for data engineering services, identifying opportunities for growth and innovation.
• Stay current with industry trends and emerging technologies in data engineering and AI.

Skills and attributes for success

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• Technical Skills Applications Integration
• Data Engineering and Modelling
• Data Integration and Data Quality
• 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 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.
• Direct and mentor global data 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.

To qualify for the role, you must have

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 10+ years professional consulting experience in industry or in technology consulting.
• 10+ years of hands-on work experience in data engineering, with a strong background in data architecture, ETL processes, and data warehousing.
• 3+ years’ experience with native cloud products and services such as AWS, Azure or GCP.
• 5+ years of experience mentoring and leading teams of data engineers, fostering a culture of innovation and professional development.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark).
• 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.
• 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.
• Excellent client management skills, with the ability to build and maintain strong relationships with stakeholders.
• Experience in developing and executing go-to-market strategies for data and AI solutions.
• Knowledge of machine learning concepts and frameworks, with the ability to integrate AI capabilities into data engineering processes.
• Excellent leadership, communication, and project management skills.
• Data Security and Database Management
• Enterprise Data Management and Metadata Management

Ideally, you’ll also have

• Master’s degree in computer science, Management Information Systems, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
• Experience in cloud platforms (e.g., AWS, Azure, Google Cloud) and data visualization tools.

• 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