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

Role Description

• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications

• 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.

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.