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Sr. Manager Data Analytics

vbspineco
Companyvbspineco
CategoryData & Analytics
LocationLeesburg, VA
Remote
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
First seen6 Aug 2026 (the employer did not state a posting date)
Last verified8 Aug 2026
SourceEmployer ATS (rippling)
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Description
What You’ll Do: • 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. What You Bring: • 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). Why VB Spine? We believe in growing talent from within. At VB Spine, join a high-performing team, benefit from peer and executive mentorship, and shape strategy in the dynamic field of medical devices—positioning yourself to influence growth and innovation across the organization. Compensation: Pay for this role is competitive and based on experience, with additional factors like qualifications, leadership scope, and performance taken into account. The typical pay range for this position is $150,000.00 - $170,000.00 for the Leesburg, VA / DMV market, with potential for bonuses and incentives plus benefits. Final compensation is determined on a case-by-case basis and considers a variety of factors including experience level, skillset, and market conditions. Benefits include: • 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 This role is ideal for a collaborative leader excited to build scalable, insight-driven analytics capabilities that directly impact patient outcomes and business performance at VB Spine. Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a career where your work truly matters? At VB Spine, you’ll be part of a mission-focused team that supports surgeons during life-changing spinal procedures. We’re looking for a driven, hands-on analytics leader ready to modernize our data capabilities, rationalize legacy systems, and deliver actionable insights that power manufacturing, supply chain, commercial, finance, and operational excellence in a dynamic, fast-paced medical device environment.