Senior Manager, Data Science
Full Time
full time
25 Sep 2025
Herndon
Verified by Turrior
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
79 / 100
Offer value
This managerial role offers a balance of leadership responsibilities and individual contributions in a growing field, appealing to seasoned data science professionals.
- Role allows integration of AI and machine learning solutions.
- Leadership opportunities for data science professionals.
- Flexible remote work options create work-life balance.
Pros
- Engaging in AI and machine learning solutions enhances industry relevance.
- Leadership role with potential for career advancement.
- Remote work flexibility supports personal work-life balance.
Cons
- Hand-on leadership may require high time investment.
- Need to navigate team dynamics and stakeholder interests.
- Compensation specifics for the role could be less clear.
Who it's for
Mid to Senior Management • Remote
Good fit
- Data science managers looking to lead teams.
- Individuals with AI and machine learning knowledge.
- Candidates wanting flexibility in work environment.
Not recommended for
- Newcomers to data science without managerial experience.
- Those preferring individual contributor positions.
- Individuals not ready for collaborative leadership roles.
Motivation fit
Desire to lead AI and machine learning projects.Interest in addressing complex industry challenges.Eagerness to guide teams and impart knowledge.
Key skills
Project managementLeadership in data scienceAI and machine learning proficiencyStrong communication and collaboration
Score: 79/100 AI verified analysis
About the job
As the Senior Manager of Data Science, you will be responsible for overseeing the development and implementation of advanced AI and machine learning solutions that enhance client offerings. This role entails hands-on leadership of a team comprised of machine learning engineers, business analysts, and data scientists, ensuring effective execution of product roadmaps and strategic initiatives to address industry challenges. The ideal candidate will possess strong technical expertise in programming, machine learning, and operational research, combined with the ability to communicate complex concepts clearly and inform executive decision-making.
