Senior Manager Data Analytics
Full-time
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
Vacancy posted a month ago
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