Data Platform Delivery and Operations - Supervising Associate

Location: Dallas, Akron, Alpharetta, Arlington, Atlanta, Baltimore, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Detroit, Grand Rapids, Grandview Heights, Greenville, Hartford, Hoboken, Indianapolis, Iselin, Jacksonville, Jericho, Louisville, Manayunk, McLean, Miami, New York, Orlando, Philadelphia, Pittsburgh, Providence, Raleigh, Richmond, Rochester, Stamford, Tallahassee, Tampa, Toledo, Washington, Austin, Baton Rouge, Birmingham, Chicago, Des Moines, Fort Worth, Houston, Huntsville, Jackson, Kansas City, Memphis, Milwaukee, Minneapolis, Nashville, New Orleans, Oklahoma City, Rogers, San Antonio, St. Louis, Tulsa, Wichita

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

As a Supervising Associate - Data Delivery & Operations, youll have the opportunity to help shape the future of enterprise data, analytics and AI solutions. Working alongside talented engineering teams and business stakeholders, youll design, build and support modern data platforms, advanced analytics capabilities and AI-powered solutions that drive measurable business outcomes.

This role offers a unique opportunity to work hands-on with emerging AI technologies, including the development and deployment of intelligent agents, generative AI solutions and cloud-based platforms. Youll collaborate directly with internal teams and stakeholders to translate business needs into scalable technical solutions while helping advance our AI and data capabilities.

If youre passionate about data engineering, AI innovation and solving complex business challenges, this role provides the opportunity to make a tangible impact while helping lead the evolution of AI agent architecture, automation and enterprise analytics.

Your key responsibilities

• Execute and coordinate assigned technical work across the design, development, testing, deployment and production support of enterprise data solutions.
• Manage defined technical deliverables and workstreams, escalating risks, dependencies and decisions to the Assistant Director when required.
• Investigate technical and production issues, perform root-cause analysis and coordinate fixes with development, testing and business teams.
• Review code, configurations, data models, data pipelines, business logic and technical documentation for completeness, accuracy and adherence to established standards.
• Translate stakeholder requirements into clear technical tasks, acceptance criteria and delivery plans.
• Support quality-assurance and user-acceptance testing, including test-case preparation, defect investigation, resolution tracking and validation of completed fixes.
• Produce and maintain technical specifications, process documentation, operating procedures, support guides and knowledge-transfer materials.
• Provide day-to-day technical guidance, share leading practices, support less-experienced colleagues and promote consistent development, testing and documentation standards.
• Support onshore and offshore transitions through structured knowledge transfer, technical and operational handovers, dependency tracking and post-transition stabilization.
• Coordinate across geographies and time zones to ensure technical issues are assigned, tracked and resolved.

Skills and attributes for success

• Strong data-engineering knowledge across data ingestion and integration, transformation and orchestration, data modelling, data quality and reconciliation, testing and validation, monitoring, issue management, deployment and production support.
• Ability to review technical designs and work products, identify issues and recommend practical improvements.
• Ability to provide technical guidance while operating effectively as an individual contributor.
• Collaborative approach, with a willingness to share knowledge, mentor colleagues, resolve issues and provide constructive feedback.
• Sound judgment in identifying matters that require architectural, strategic or stakeholder decisions and escalating them promptly.
• Strong written and verbal communication skills, including the ability to explain technical issues, risks and recommendations to technical and non-technical audiences.
• Ability to collaborate effectively with onshore and offshore teams while maintaining clear ownership, communication and follow-through.

To qualify for the role, you must have

• A bachelors degree in Computer Science or an equivalent technology-related discipline, such as Software Engineering, Computer Engineering, Data Engineering, Data Science, Information Systems, Information Technology, Applied Mathematics or another quantitative field with a significant computing component.
• 2-5 years of progressive professional experience in data engineering, data platforms, analytics engineering, business intelligence or related technology-delivery roles.
• Hands-on experience developing or supporting data and analytics solutions using Azure Databricks and/or Microsoft Fabric, with experience in at least one of these platforms required.
• Experience building, maintaining or troubleshooting data pipelines and integrations across multiple systems and data sources.
• Experience supporting the design, development, testing, deployment and production operation of enterprise data solutions.
• Experience independently managing defined technical deliverables or workstreams.
• Experience investigating technical issues, performing root-cause analysis and coordinating fixes.
• Experience reviewing technical outputs, data pipelines, business logic and supporting documentation.
• Experience supporting testing activities and maintaining technical and operational documentation.
• Experience supporting onshore/offshore transitions, knowledge transfer, handovers and stabilization.

Ideally, youll also have

• Experience with Azure AI Foundry.
• Experience designing, creating, configuring or supporting AI and data agents using Databricks Genie, Microsoft Fabric Data Agents or comparable agent-based technologies.
• Experience implementing generative AI, natural-language analytics, conversational data experiences or AI-enabled business insights.
• Experience with Power BI, semantic models, DAX, Power Query or related Microsoft analytics technologies.
• Relevant Microsoft Azure, Databricks or Microsoft Fabric certifications.

What we offer you

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• 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 range for this job is:

• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $104,600 to $177,900

• Bay Area California offices - $109,000 to $185,300

• All other offices locations in the US, including Sacramento - $87,200 to $163,000

• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. 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.

• 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.

Are you ready to shape your future with confidence? Apply today.

• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click here for additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.