Data Analytics Leader – Modernize Platforms & Insights (Hybrid)

VB Spine; Leesburg (VA); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Training & development

Growth opportunities

Job summary

VB Spine in Leesburg, VA is seeking a Sr. Manager of Data Analytics to lead modernization of data capabilities across manufacturing, supply chain, finance, and operations.

You will oversee dashboards, datasets, and models using Power BI, Databricks, SQL, Python, and cloud tech, while shaping governance and data quality programs. The role combines strategic leadership with hands-on execution, building and scaling a high‑performing analytics team, and partnering with cross‑functional leaders to

Qualifications

• Proven experience leading Data & Analytics functions in manufacturing, supply chain, or regulated environments.
• Strong expertise in Power BI semantic models, Databricks, Azure Data Factory, SQL, Python, and cloud data platforms.
• Experience modernizing data landscapes, rationalizing legacy systems, and delivering data-driven insights.

Responsibilities

• Define and own a 12–24 month Data & Analytics modernization roadmap aligned with business priorities and post‑separation operating model.
• Establish future-state analytics architecture, data platform strategy, semantic models, reporting standards, and self‑service capabilities.

Skills

Power BI

Databricks

Azure Data Factory

SQL

Python

Cloud platforms

Education

Bachelor’s degree in Data Science / CS / IS

Master’s degree preferred

Tools

Power BI

Databricks

Job description

VB Spine in Leesburg, VA is seeking a Sr. Manager of Data Analytics to lead modernization of data capabilities across manufacturing, supply chain, finance, and operations.

You will oversee dashboards, datasets, and models using Power BI, Databricks, SQL, Python, and cloud tech, while shaping governance and data quality programs. The role combines strategic leadership with hands-on execution, building and scaling a high‑performing analytics team, and partnering with cross‑functional leaders to