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Manager, Data & Analytics
Location: Remote
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 the largest privately held spine company and among the largest family-owned medical technology companies in the world, dedicated to innovation, surgeon partnerships, and improving patient outcomes in spine care. As Manager, Data & Analytics in our Information Technology function within the Spine division, you’ll support the continued modernization of VB Spine’s analytics, reporting, and data platform capabilities — rationalizing the existing landscape, shaping a right-sized future-state architecture, and building scalable capabilities that support manufacturing, supply chain, commercial, finance, quality, and operational priorities.
What You’ll Do:
Data Strategy, Modernization & Roadmap
Support the development and execution of a 12–24 month Data & Analytics modernization roadmap aligned to VB Spine’s business priorities and post-separation operating model Manage rationalization of legacy lift-and-shift reports, datasets, dashboards, data flows, and analytics processes to eliminate duplication and right-size capabilities Contribute to future-state analytics architecture, including data platform strategy, reporting standards, semantic model design, data product approach, and self-service analytics Partner with Enterprise Applications, Infrastructure, Cybersecurity, Master Data Management, and business functions to align data architecture with the broader technology roadmap Identify opportunities to retire manual reporting, consolidate redundant tools/datasets, and transition to governed, automated, scalable analytics solutions Support prioritization of reporting capabilities, data infrastructure, KPI standardization, advanced analytics, and AI-enabled use cases BI & Analytics Delivery
Coordinate and oversee delivery of dashboards, reports, datasets, and analytical models across the enterprise, with emphasis on manufacturing, operations, supply chain, sales, and finance
Ensure analytics activities follow a structured SDLC framework (tiered validation, intake, design documentation, deployment governance) appropriate for a regulated medical device environment
Maintain architectural oversight of Power BI semantic models, ADF pipelines, Databricks workflows, and transformations for scalability, reliability, and performance Drive standardization of reporting definitions, business logic, and KPI frameworks across source systems and business domains Support reduction of manual reporting and transition toward governed, automated analytics solutions
Analytics Governance, Data Quality & Compliance
Implement and maintain analytics governance standards covering report definitions, KPI logic, semantic models, lineage, access controls, documentation, and ownership Partner with MDM, Enterprise Applications, and business process owners to resolve source data quality issues impacting reporting and decision-making Apply standards for dashboard development, testing, validation, deployment, documentation, and ongoing support Ensure analytics solutions are designed with appropriate security, access controls, auditability, and compliance for a regulated environment Support and maintain repeatable intake, prioritization, delivery, and support processes for analytics requests
Team Leadership & Capability Building
Provide day-to-day functional leadership and direction to data analysts and data engineers (individual contributor role with team lead responsibilities; no formal people management accountability)
Coordinate team workloads, monitor progress, and help ensure deliverables are completed on time and aligned with business priorities
Provide technical guidance, coaching, and knowledge sharing to support team effectiveness and professional development
Establish team ways of working, including intake management, delivery prioritization, sprint planning, documentation standards, and stakeholder communication
Build a culture of business partnership, technical excellence, data quality, and practical execution
Business Partnership & Analytics Adoption
Serve as a strategic partner to leaders across Manufacturing, Supply Chain, Operations, Finance, Sales, Quality, and other functions
Translate business problems and operational needs into data products, dashboards, metrics, and analytical models
Drive adoption of analytics solutions through stakeholder engagement, training, documentation, and continuous improvement
Establish clear ownership of business definitions, KPIs, and decision-support reporting across functions
Help business teams move from reactive, manual reporting to trusted, self-service, insight-driven decision-making
What You Bring:
Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (Master’s preferred) 7+ years of progressive experience in data analytics, business intelligence, data engineering, or related fields Hands-on experience with modern analytics tools including Power BI, Databricks, SQL, Python, and cloud data integration technologies Experience rationalizing legacy reporting landscapes and supporting data platform modernization Strong understanding of data architecture, semantic models, KPI standardization, and self-service analytics models Experience operating in a regulated industry (medical device, healthcare, or life sciences preferred) Ability to operate at both strategic and execution layers — contributing to future-state direction while staying engaged in architecture, delivery, and stakeholder engagement Strong communication and partnership skills with the ability to translate business needs into trusted analytics solutions Experience providing functional leadership or mentoring to analysts and engineers Familiarity with AI-enabled analytics capabilities (predictive analytics, anomaly detection, natural language insights) is a plus Why VB Spine?
We believe in growing talent from within. At VB Spine, join a high-performing IT team where you’ll shape the future of data and analytics for a growing medical device company — turning operational and commercial data into trusted insights that support manufacturing excellence, supply chain performance, and life-changing spinal care.
Compensation:
Pay for this role is competitive and based on experience, qualifications, and performance. The typical pay range for this position is $145,000.00 - $155,000.00 annually, 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, technical expertise, 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