[Hiring] Senior Manager Data Analytics @VB Spine, LLC

Role Description

• Define and own a 12–24 month Data & Analytics modernization roadmap aligned with VB Spine’s business priorities and post-separation operating model, including rationalization of legacy Stryker lift-and-shift reports, datasets, and processes.
• Establish the future-state analytics architecture, data platform strategy, semantic models, reporting standards, and self-service capabilities while partnering with Enterprise Applications, Infrastructure, Cybersecurity, and business functions.
• Oversee delivery of dashboards, reports, datasets, and analytical models (with emphasis on manufacturing, supply chain, sales, and finance) using Power BI, Databricks, SQL, Python, and cloud technologies.
• Drive analytics governance, data quality initiatives, KPI standardization, and compliance standards suitable for a regulated medical device environment.
• Lead, develop, and scale a team of data analysts and engineers — including hiring, coaching, and building high-performance ways of working.
• Serve as a strategic business partner to leaders across the organization, translating operational challenges into trusted data products, predictive analytics, and decision-support tools.
• Advance adoption of modern analytics, automation, anomaly detection, and AI-enabled capabilities while reducing reliance on manual reporting.

Qualifications

• Proven experience leading Data & Analytics functions in a manufacturing, supply chain, or regulated industry (medical device preferred).
• Strong technical expertise with Power BI (semantic models), Databricks, Azure Data Factory (ADF), SQL, Python, and cloud data platforms.
• Demonstrated success in data modernization, report rationalization, architecture design, governance, and cross-functional stakeholder management.
• Hands-on leadership style with the ability to operate at both strategic (roadmap, architecture) and execution levels (delivery, quality, team development).
• Experience building and scaling analytics teams, establishing SDLC/governance processes, and driving business adoption of self-service analytics.
• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field (Master’s or advanced certifications preferred).

Benefits

• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Paid time off (PTO) and holidays
• Ongoing training and professional development opportunities
• Opportunity to grow within a fast-paced, dynamic company