Supervising Associate

About the Role

As a Supervising Associate - Data Delivery & Operations, you will help shape the future of enterprise data, analytics, and AI solutions. You will design, build, and support modern data platforms, advanced analytics capabilities, and AI-powered solutions that drive measurable business outcomes. This role offers an opportunity to work hands-on with emerging AI technologies, including the development and deployment of intelligent agents, generative AI solutions, and cloud-based platforms. You will collaborate with internal teams and stakeholders to translate business needs into scalable technical solutions.

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 when required.
• Investigate technical and production issues, perform root-cause analysis, and coordinate fixes.
• Review code, configurations, data models, data pipelines, business logic, and technical documentation.
• 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.

Requirements & Tech Stack

• 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.

Qualifications

• A 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.
• 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, you'll 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.