Cons - TC - AI and Data - Enterp Data - Data Eng and ...

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, youu2019ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And weu2019re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. Consulting - Technology Consulting - AI & Data - Enterprise Data - Data Engineering and Architecture - Data Engineering (Manager) (Multiple Positions) (1688246), Ernst & Young U.S. LLP, Seattle, WA. Demonstrate in-depth data management and governance knowledge, including data quality management, data integration, data modeling, and data cleansing techniques, in order to lead engagement teams in the strategic design and implementation of associated tools and platforms. Design methodology and execute activities to identify business needs and challenges through structured capability assessments, diagnostic analytics, solution analytics, and enterprise analytics. Utilize data strategy, data governance, data quality, data definition and usage, and data management to highlight US/Global client challenges, and identify opportunities to transform and improve clientsu2019 organizations. Gather AI Ready Data, collecting company datasets (e.g. within operations, supply chain) to be levered for execution of client goals. Analyze data gathered using Enterprise Intelligence (EI) as a key enabler and integrate analytics and business intelligence to provide solutions according to clientsu2019 organizational policies and IT environment. Establish project plan, delegate activities, and monitor progress to target to support successful and on-time, high quality delivery of client engagements focused on data acquisition, validation, management and/or analysis. Prepare client deliverables to present engagement findings and recommendations and conduct quality assurance reviews to support high quality work products. Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes. 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. Full time employment, Monday u2013 Friday, 40 hours per week, 8:30 am u2013 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field and at least 5 years of post-bacheloru2019s progressive related work experience. Alternatively, will accept a Masteru2019s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field and at least 4 years of related work experience. Must have 3 years of experience in advising clients in at least 2 of the following areas across the data supply chain to deliver business value: u00b7 information strategy u00b7 data architecture u00b7 information/data governance u00b7 master data management u00b7 data quality, and/or data integration u00b7 analytics design/development Must have 2 years experience in at least one of the following sectors: u00b7 Public u00b7 Utilities u00b7 Life sciences u00b7 Advanced manufacturing u00b7 Healthcare Must have 2 years of experience in at least 1 of the following Cloud Platforms: u00b7 AWS (Amazon Web Services) u00b7 Google Cloud Platform (GCP) u00b7 Microsoft Azure Must have 2 years of experience in at least 1 of the following Data Storage and Databases: u00b7 MySQL u00b7 PostgreSQL u00b7 MongoDB u00b7 Cassandra u00b7 HDFS (Hadoop Distributed File System) Must have 3 years of experience with ETL processes across at least 1 of the following tools: u00b7 Informatica u00b7 AWS Glue u00b7 Fivetran u00b7 Talend u00b7 Integrate.io u00b7 Oracle Data Integrator u00b7 IBM InfoSphere u00b7 DataStage u00b7 Azure Data Factory u00b7 Hevo Data Must have 2 years of experience in Data Cleaning and Preprocessing using at least 1 of the following: u00b7 OpenRefine u00b7 Trifacta u00b7 Alteryx u00b7 Talend u00b7 Informatica u00b7 Tabelau Must have 1 year of program management experience using at least 1 of the following technology stacks: u00b7 Python u00b7 R u00b7 Julia u00b7 SQL Must have 1 year of experience in at least 1 of the following Integrated Development Environments (IDEs): u00b7 Jupyter Notebook u00b7 JupyterLab u00b7 RStudio u00b7 PyCharm u00b7 Spyder Must have 1 year of experience in Data Manipulation and Analysis using at least 1 of the following: u00b7 Pandas (Python) u00b7 NumPy (Python) u00b7 dplyr (R) u00b7 data.table (R) Must have 2 years of experience in Data Visualization using at least 2 of the following: u00b7 Matplotlib (Python) u00b7 Seaborn (Python) u00b7 Plotly (Python, R) u00b7 ggplot2 (R) u00b7 Tableau u00b7 Power BI Requires travel up to 80% of the time, of which 10% may be international, to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at /en_us/careers and click on

Created: 2026-02-27