Cons - TC - AI and Data - Ent Data - Data Eng and Arch - Data Eng - Manager - MP -1698164

Tue, 04/07/2026 - 07:26

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Consulting -Technology Consulting - AI & Data - Enterprise Data - Data Engineering and Architecture - Data Engineering (Manager) (Multiple Positions) (1698164), Ernst & Young U.S. LLP, Pittsburgh, PA.

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 clients’ 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 clients’ 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 – Friday, 40 hours per week, 8:30 am – 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-bachelor’s progressive related work experience. Alternatively, will accept 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.

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

Must have 2 years experience in at least one of the following sectors:
· Public
· Utilities
· Life sciences
· Advanced manufacturing
· Healthcare

Must have 2 years of experience in at least 1 of the following Cloud Platforms:
· AWS (Amazon Web Services)
· Google Cloud Platform (GCP)
· Microsoft Azure

Must have 2 years of experience in at least 1 of the following Data Storage and Databases:
· MySQL
· PostgreSQL
· MongoDB
· Cassandra
· HDFS (Hadoop Distributed File System)

Must have 3 years of experience with ETL processes across at least 1 of the following tools:
· Informatica
· AWS Glue
· Fivetran
· Talend
· Integrate.io
· Oracle Data Integrator
· IBM InfoSphere
· DataStage
· Azure Data Factory
· Hevo Data

Must have 2 years of experience in Data Cleaning and Preprocessing using at least 1 of the following:
· OpenRefine
· Trifacta
· Alteryx
· Talend
· Informatica
· Tabelau

Must have 1 year of program management experience using at least 1 of the following technology stacks:
· Python
· R
· Julia
· SQL

Must have 1 year of experience in at least 1 of the following Integrated Development Environments (IDEs):
· Jupyter Notebook
· JupyterLab
· RStudio
· PyCharm
· Spyder

Must have 1 year of experience in Data Manipulation and Analysis using at least 1 of the following:
· Pandas (Python)
· NumPy (Python)
· dplyr (R)
· data.table (R)

Must have 2 years of experience in Data Visualization using at least 2 of the following:
· 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.

Employer will accept any suitable combination of education, training or experience.

Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, “See All", then “Experienced Professionals” (Job Number - 1698164).

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $171,610.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.
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This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".