Sr. Manager Data Analytics

VB Spine LLC
Leesburg, VA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$150,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Cloud Computing Cloud Database Cyber Security Information Systems Data Transformation Python (Programming Language) Systems Development Life Cycle Power BI Cloud Services
+6 more
SQL Databases Enterprise Software Applications Azure Data Factory Information Technology Data Analytics Databricks

Job 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 insurance401(k) with company matchPaid time off (PTO) and holidaysOngoing training and professional development opportunitiesOpportunity to grow within a fast-paced, dynamic companyThis 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.

Requirements

  • 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 & conditions

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., * 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.

About the company

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.

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