Senior Consultant - Data Engineer - Data & AI Ernst & Young AE

As a Senior Consultant you will be responsible for managing up to two projects alongside senior business leaders such as Directors and Partners and enable clients to determine a FAAS strategy that appropriately addresses risk and manages client expectations relating to deliverables. Help client realized value from data through state-of-the-art data platforms.

The role will also involve ensuring work is delivered timely and in compliance with regulatory requirements, delivering effective execution of the FAAS service delivery framework, working with other service lines in providing an integrated service delivery and monitoring the FAAS engagement team's performance against the budget. You will identify and communicate relevant trends, developments and key performance drivers relevant to the client, consult with appropriate resources on complex accounting issues and participate in sales of new FAAS work.

Skills and attributes for success

Pro- activity, accountability and results- driven people will flourish in this environment. Dealing with competing priorities, understanding how to manage resources and communicating effectively are key skills. This will have a huge impact on those around you and help promote a positive work ethic.

To qualify for the role, you must have

• A bachelor's degree and approximately 5+ plus years of related work experience
• Data Architecture Certifications are a must for the role, and will be a key differentiation factor in the candidate selection
• Demonstrated work experience of at least 5+ years in a global consulting firm handling a team of at least 4 people
• Have hands-on experience on big data, and platforms such as Cloudera, Informatica, Data bricks and on cloud platforms such as Azure or AWS
• Have industry expertise in at least one or two of those domains: Government, Healthcare, Financial Services, Retail, Telecom
• Demonstrated ability to manage and supervise teams through all phases of the project lifecycle, including requirements definition, business re-engineering, and application mapping.
• Awareness about emerging technologies like Data Fabric, Data Mesh, event driven architectures
• Strong technical skills and recognized cautious risk management ability
• Deep understanding of the client's industry and marketplace
• Flexibility and willingness to travel on short notice, as necessary