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Senior Manager Data Analytics Jobs in Virginia (NOW HIRING)

Sr. Manager Data Analytics

Leesburg, VA Β· On-site

$150K - $170K/yr

Sr. Manager Data Analytics VB Spine Leesburg, Virginia, United States About this position Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a career where ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. Manager will work closely with the Information Management Practice Lead to help manage the team ...

Sr. Manager Data Analytics

Leesburg, VA Β· On-site

$150K - $170K/yr

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 ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. Manager will work closely with the Information Management Practice Lead to help manage the team ...

Sr. Manager Data Analytics

Leesburg, VA Β· On-site

$150K - $170K/yr

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 ...

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Senior Manager Data Analytics information

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Virginia?

For Senior Manager Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Virginia look for?

The top searched job categories for Senior Manager Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Senior Manager Data Analytics jobs?

Cities in Virginia with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Sr. Manager Data Analytics

Leesburg, VA β€’ On-site

$150K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

Sr. Manager Data Analytics

VB Spine Leesburg, Virginia, United States

About this position

Sr. Manager, Data & Analytics
Location: Leesburg, VA (hybrid)
Company: VB Spine

Looking for a career where your work truly matters? At VBβ€―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.

What You’ll Do:

  • Define and own a 12–24 month Data & Analytics modernization roadmap aligned with VBβ€―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 β€” 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 VBβ€―Spine?
We believe in growing talent from within. At VBβ€―Spine, join a high‑performing team, benefit from peer and executive mentorship, and shape strategy in the dynamic field of medical devicesβ€”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 VBβ€―Spine.

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