Cons-Tech Consulting-AI & Data-Data Design&Mgmt; Manager; MP

Position: Cons-Tech Consulting-AI & Data-Data Design&Mgmt (Manager) (MP) - 1698671
Location: New York

Y focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. /p

At EY, you’ll 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 we’re 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.

Consulting

– Technology Consulting – AI & Data - Data Design & Management (Manager) (Multiple Positions) (1698671), Ernst & Young U.S. LLP, New York, NY

Demonstrate in-depth data management and governance knowledge, including data quality management, data integration, data modelling, 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 clients’ organisations.

Gather AI‑Ready Data, collecting company datasets (e.g. within operations, supply chain) to be leveraged for execution of client goals. Analyse data gathered using Enterprise Intelligence (EI) as a key enabler and integrate analytics and business intelligence to provide solutions according to clients’ organisational 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 – Friday, 40 hours per week, 8:30 am – 5:30 pm.

Minimum Requirements

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‑bachelor’s progressive related work experience; OR a Master’s 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.

Experience in data supply chain areas

• information strategy
• data architecture
• information/data governance
• master data management
• data quality, and/or data integration
• analytics design/development

Sector experience

• Public
• Utilities
• Life sciences
• Advanced manufacturing
• Healthcare

Cloud Platform experience

• AWS (Amazon Web Services)
• Google Cloud Platform (GCP)
• Microsoft Azure

Data Storage and Databases experience

• MySQL
• PostgreSQL
• MongoDB
• Cassandra
• HDFS (Hadoop Distributed File System)

ETL tool experience

• Informatica
• AWS Glue
• Fivetran
• Talend
• Integrate.io
• Oracle Data Integrator
• IBM Info Sphere
• Data Stage
• Azure Data Factory
• Hevo Data

Data Cleaning and Preprocessing tools

• Open Refine
• Trifacta
• Alteryx
• Talend
• Informatica
• Tableau

Program management technology stacks

• Python
• R
• Julia
• SQL

Integrated Development Environments (IDEs)

• Jupyter Notebook
• Jupyter Lab
• RStudio
• Py Charm
• Spyder

Data Manipulation and Analysis tools

• Pandas (Python)
• Num Py (Python)
• dplyr (R)
• data.table (R)

Data Visualization tools

• Matplotlib (Python)
• Seaborn (Python)
• Plotly (Python, R)
• ggplot2 (R)
• Tableau
• Power BI

Requires travel up to 80% of the time, of which 10% may be international, to serve client needs.

Benefits

We offer a comprehensive…