Data Engineer – Senior Manager – Consulting
Listed on 2025-12-31
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IT/Tech
Data Engineer, Data Science Manager
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 to build a better working world.
AI & Data – Data Engineer – Senior ManagerEY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more.
The Opportunity: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.
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…
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