EY is a globally connected powerhouse of diverse teams, seeking to help build a better working world. The role involves leading data engineering and architecture efforts, solving complex business problems through data insights, and managing diverse teams to deliver technology consulting services.

Responsibilities:

Bring order and structure to structured and unstructured data and perform data modeling, architecture, and adhere to client and EY architecture standards
Facilitate internal client approvals of the arch standards, while adhering to leading data management practices (i.e. referential integrity) in a manner that is accessible to clients and other stakeholders to solve multiple and complex business problems
Lead big-data problem solving to collect, analyze, and present findings and solutions, leading junior team members, and working with a wide variety of clients to deliver technology consulting services
Serve as the go-to resource for understanding clients’ problems through data gathering and analysis
Solve complex analytical problems in an effort to bring data to insights and enable the use of Machine Learning and Artificial Intelligence at scale for clients
Drive efforts to design, architect, and develop solutions to ingest, process and analyze large, disparate data sets to exceed business requirements, leveraging client data platforms as needed and recommending and building new data platforms/solutions
Participate in business development and knowledge growth opportunities to strengthen aptitude to propose solutions that will better enable clients to navigate the complex world of AI and AI-ready data
Manage and motivate teams with diverse skills and backgrounds
Consistently deliver quality client services by monitoring progress
Demonstrate in-depth technical capabilities and professional knowledge
Maintain long-term client relationships and networks
Cultivate business development opportunities

Requirements:

Must have a Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 5 years of progressive, post-baccalaureate work experience
Alternatively, will accept a Master's degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 4 years of work experience
Must have 4 years of experience in data modeling, architecture and data engineering methods
Must have 3 years of experience in one or a combination of any of the following cloud platforms: Azure, Amazon, Google
Must have 4 years of experience in navigating database models to build data sets for analytics and model training and development
Must have 2 years of experience in the end-to-end lifecycle of discovery and requirements definition, solution architecture, redesigning, building, and deploying data engineering solutions that enable value for the client
Must have 3 years of experience with data manipulation tools and libraries (e.g. SQL, Pandas, Spark, or similar)
Must have 2 years of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems
Must have 2 years of experience directly managing technical teams
Requires travel up to 60%, of which 10% may be international, to serve client needs

Senior Client Success Manager

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