Senior Level Data Analytics Manager Jobs

Senior level data analytics manager jobs place experienced professionals in charge of analytics strategy, cross-functional data initiatives, and the teams that turn insights into business outcomes. Roles are concentrated across Technology & Software, Insurance, and Banking & Financial Services, with a mix of on-site, hybrid, and remote settings, and employers like Xometry, Capital One, and Revolution Medicines hiring at this level now.

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Overview

Open roles92
Top stateCalifornia
Top employerXometry
Top citySan Francisco, CA
Work type59% On-site
Top industryTechnology

Showing 3 of 92+ Senior Level Data Analytics Manager jobs

Vice President, Reporting and Data Analytics
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Added 2d ago
Vice President, Reporting and Data Analytics
Modivcare
Denver, Colorado
Strategy & Corporate Development
Data Science & Analytics
Project & Program Management
Human Resources
Business Strategy
Data Science
Data Analytics
Project Management
$202k - $250k/yr
On-Site
Bachelor's
10,000+

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Data Analytics Lead
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Added 2d ago
Data Analytics Lead
Deloitte
Raleigh, North Carolina
Data Science & Analytics
Business Analysis
Project & Program Management
Data Science
Data Analytics
$122k - $210k/yr
Hybrid
Bachelor's
10,000+

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Sr Director, Data Science and Analytics
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Added 3d ago
Sr Director, Data Science and Analytics
ServiceTitan
California
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
$291k - $436k/yr
1,001-5,000

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Senior Level Data Analytics Manager Job Market

Who's Hiring

Revolution Medicines6 open roles
Xometry3 open roles
Capital One3 open roles

Top Industries Hiring

  • Technology & Software26
  • Insurance12
  • Banking & Financial Services7
  • Biotechnology & Pharmaceuticals6
  • Retail4

Senior Level Data Analytics Manager Jobs: Frequently Asked Questions

How do I get a senior level data analytics manager job?

Employers hiring at this level look for candidates who have led analytics teams, owned end-to-end data strategy, and can demonstrate measurable business impact from past work. Strong candidates show fluency in advanced analytics tools, experience presenting to executive stakeholders, and a history of developing junior analysts. Tailoring your application to highlight ownership and outcomes, not just technical skills, is what separates senior candidates from mid-level applicants.

Which companies hire senior level data analytics managers?

Companies hiring senior level data analytics managers right now include Xometry, Capital One, and Revolution Medicines, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises with dedicated analytics functions, fast-growing technology companies scaling their data teams, and consulting firms staffing senior client-facing analytics roles.

Are there remote senior level data analytics manager jobs?

Yes, remote and hybrid options are common at this level. About 41% of senior level data analytics manager openings are remote or hybrid as of November 2026, reflecting strong demand for experienced analytics leaders who can manage distributed teams and deliver results without being on-site full time.

What makes a data analytics manager role senior level?

Senior level data analytics manager roles are defined by scope, ownership, and leadership. Professionals at this stage set the direction for analytics programs, own outcomes across multiple business units or products, and are responsible for mentoring and developing their teams. The work involves influencing executive decision-making, driving cross-functional alignment on data strategy, and resolving complex analytical problems that mid-level managers are not expected to handle independently.

Which industries hire the most senior level data analytics managers?

Senior level data analytics manager roles concentrate in Technology & Software, Insurance, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at high data volumes, depend on analytics to guide competitive strategy, and have the organizational scale to support dedicated senior analytics leadership.