BI Team Lead- Back Office

## BI Team Lead
- Back Office Apply remote type:
Hybrid locations:
Northbrook, Illinois time type:
Full time posted on:
Posted Todayjob requisition :
R2608199
** Job Summary
**** Job Description
**** Description
* * The Business Intelligence (BI) Team Lead will play a critical role supporting Medline’s BI Modernization and analytics initiatives. This role will lead BI project work while remaining hands-on in the design, development, and delivery of solutions on Microsoft Fabric. The BI Team Lead will ensure high-quality, scalable, and trusted
** data products
** that support Medline’s operations, inventory management, and manufacturing business functions.

This role bridges business and technology by negotiating and translating complex requirements into actionable solutions, building
** reusable, certified datasets**, enabling self-service and enterprise-level analytics, driving data governance, and promoting best practices across the BI organization.
** Responsibilities**
* ** Lead BI delivery as data products:
** own reporting and analytics solutions across operations, inventory, and manufacturing — treating each deliverable as a managed product with clear owners, consumers, SLAs, documentation, and a lifecycle from intake through retirement.
* ** Build reusable, certified datasets:
** design and curate shared semantic models, conformed dimensions, and certified data products so business teams can compose new analytics without rebuilding foundations — driving “build once, reuse many” across the enterprise.
* ** Lead Microsoft Fabric data engineering:
** architect and build solutions on One Lake, Lakehouse, Warehouse, Dataflows Gen2, Notebooks, and Pipelines using medallion (bronze/silver/gold) patterns; optimize for Direct Lake performance, cost, and governance.
* ** Negotiate requirements with the business:
** partner with stakeholders to define KPIs, metrics, and reporting needs — challenging vague or duplicative asks, surfacing tradeoffs (scope, time, cost, complexity
* ** Communicate and present with impact:
** translate analytical insights into narratives and visuals; lead working sessions, demos, and steer reviews that move decisions forward and build trust with leaders.
* ** Set and enforce BI development standards:
** ensure consistent implementation of data modeling, performance optimization, testing, deployment, version control, and documentation across the team.
* ** Review deliverables for quality:
** validate data accuracy, performance, scalability, and usability before release; lead troubleshooting of data issues, performance bottlenecks, and production incidents.
* ** Enable self-service analytics:
** promote certified datasets, standardized metrics, and governed semantic models so business users can confidently explore data on their own.
* ** Align with enterprise data strategy:
** collaborate with BI engineering, data architecture, and governance teams to ensure solutions fit Medline's broader BI, Fabric, and data product roadmap.
* ** Drive documentation and continuous improvement:
** champion knowledge sharing, runbooks, design reviews, and retrospectives to raise the bar across the team.
** Education
* * Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field; or equivalent work experience.
** Requirements
* ** Minimum 6+ years of experience in Business Intelligence, Analytics, or Data Engineering, including team-lead or senior-level responsibilities
* Strong hands-on experience with Microsoft Fabric data engineering — Lakehouse, Warehouse, One Lake, Dataflows Gen2, Notebooks, Pipelines, and medallion architecture (bronze/silver/gold)
* Demonstrated data product mindset — experience treating datasets and reports as products with defined owners, consumers, SLAs, versioning, and lifecycle management
* Proven track record building reusable, certified datasets — conformed dimensions, shared semantic models, and governed data products that scale across multiple use cases
* Experience designing, building, and maintaining enterprise data foundation layers
* Strong understanding of data integration, ETL/ELT, data modeling, and warehouse concepts
* Proven experience leading BI…