BI Delivery Lead

Who We Are

ABOUT ENOVIS

Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outcomes and transform workflows. Powered by a culture of continuous improvement, global talent and innovation, the Company’s extensive range of products, services and integrated technologies fuels active lifestyles in orthopedics and beyond.

For more information about Enovis, please visit

ABOUT ENOVIS

Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outcomes and transform workflows. Powered by a culture of continuous improvement, global talent, and innovation, the company’s extensive range of products, services, and integrated technologies fuels active lifestyles in orthopedics and beyond. Visit  to learn more.

At Enovis we pay attention to the details. We embrace collaboration with our partners and patients, and take pride in the pursuit of scientific excellence - with the goal of transforming medical technology as we know it.

Because that’s how we change the lives of patients for the better. And that’s how we create better together. Why work at Enovis? See for yourself.

As a key member of the IT Team you will play an integral part in helping Enovis drive the medical technology industry forward through transforming patient care and creating better patient outcomes.

Job Title: BI Delivery Lead

Reports To: Director BI/AI Analytics

Job Title/High-Level

Position Summary:

Seeking a BI Delivery Lead—a senior individual contributor who provides operational leadership and project management across our unified BI & Data Warehouse team. This role coordinates end to end analytics delivery, ensures audit and controls are executed accurately and on time, and supports day to day analytics operations and governance aligning with Enovis Growth Excellence (EGX). The ideal candidate is fluent in Data Warehousing Project Management, DQ/Data validation, data analysis, audit, and Power BI.

Success looks like managed, predictable deliveries, audit readiness, proactive, clear, concise communications, and the flexibility to jump into analytics analysis/validation or dashboard QA when needed.

• Coordinate delivery of Business Intelligence (BI) initiatives across BI/IT/bus teams.
• Manage projects: intake, scoping, scheduling, RAID tracking, phase planning, lesson learned, process improvement outcomes, documentation, communications, etc.
• Ensure alignment across technical stakeholders.
• Communicate dependencies, risks, and timeliness clearly and consistently, following defined process and standards. Determining, developing & documenting standards where gaps exist.
• Assist/drive scheduled and ad hoc audit activities for BI team.
• Drive the collection, validation and submission of scheduled evidence accurately and on time for audit activities.
• Maintain and improve SOPs, process documents, and control workflows.
• Coordinate access reviews, governance approvals, and remediation activities.
• Assist in maintaining documentation of environments, workspace structures, and data governance processes.
• Write or validate SQL for data checks and/or analysis.
• Assist with analytics QA, including dashboard validation, insight validation, dataset validation, and UX adjustments.
• Ensure team standards alignment for documentation, naming, lineage, testing, and releases.
• Help mature governance processes that support BI work.
• Identify operational gaps and propose improvements.

Currently, Enovis does not provide sponsorship for employment visas (e.g., H-1B) and will not offer such sponsorship in the future. Applicants must already have full-time work authorization in the United States, both now and in the future, without requiring sponsorship

• 8+ years of experience in Data Warehousing, analytics, BI, data operations, project delivery, or related roles.
• Strong understanding of Data Warehousing, BI and analytics workflows, including semantic modeling, analytics…