Data Platform Delivery and Operations - Supervising Associate

EY•Hartford, DC

2d•$87,200 - $185,300

About The Position

As a Supervising Associate - Data Delivery & Operations, you will help shape enterprise data, analytics and AI solutions. Working with engineering teams and business stakeholders, you will design, build and support modern data platforms, advanced analytics capabilities and AI-powered solutions that deliver business outcomes. The role includes hands-on work with emerging AI technologies, including intelligent agents, generative AI solutions and cloud-based platforms. You will translate business needs into scalable technical solutions and help advance AI and data capabilities, including AI agent architecture, automation and enterprise analytics.

Requirements

Bachelor's 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; experience with at least one of these platforms is 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.
Strong data-engineering knowledge across 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, including willingness to share knowledge, mentor colleagues, resolve issues and provide constructive feedback.
Sound judgment in identifying matters requiring architectural, strategic or stakeholder decisions and escalating them promptly.
Strong written and verbal communication skills, including explaining 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.

Nice To Haves

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.

Responsibilities

Execute and coordinate 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 standards.
Translate stakeholder requirements into technical tasks, acceptance criteria and delivery plans.
Support quality-assurance and user-acceptance testing, including preparing test cases, investigating defects, tracking resolutions and validating 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 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.