Manager- Technology Consulting- Data AI- Qatar

Manager- Technology Consulting- Data & AI- Qatar The opportunity Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that have not been solved before). No two days will be the same, and, with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now and in the future. This is a high-growth area with plenty of opportunities to enhance your skill set and build your career. Your key responsibilities There is no such thing as a typical day. You will run multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of advanced analytics. We'll look to you to provide our clients with a unique business perspective on how advanced analytics can transform and improve their entire organization - starting with the key business issues they face. Skills and attributes for success • Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget. • Monitoring progress, managing risk, and confirming that key stakeholders are kept informed about progress and expected outcomes. • Managing expectations of client service delivery. • Staying abreast of current business and industry trends relevant to the client's business. • Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members. • Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization. • Developing and maintaining long-term client relationships and networks. • Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models • Working with product teams to define data sources by partnering with information and enterprise architecture. • Working with product teams to define Key Performance Indicators and supporting data attributes and business rules • Working with product teams to ensure data meets business requirements • Analyzing existing data stores and interfaces to support current state and future data models • Working with squads to create physical data designs and business rule implementation • Partnering with enterprise data management and strategy on business glossary implementation and governance and stewardship • Working with report developers to align dataset design with report design • Partnering with information architecture to provide feedback on conceptual models and review logical and physical data models • Facilitating data requirements elicitation and modeling sessions including use of interview, document analysis, workshops etc. • Assisting with the development and enforcement of data modeling standards • Participating in data definition and data management reviews • Establishing and maintain processes to support and grow data modeling practices To qualify for the role you must have