Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
AI/ML Modeling Team Lead
- Pay
USD 140,000–170,000/yearLocation-specific pay — pay source
Salary 140,000 – 170,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Read the full posting- Work setting
Remote — work setting source
- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active DoD Secret clearance
What you’ll work on
Full postingRedhorse transforms the way government uses data and technology.
In this role, you will lead the modeling team in translating strategic vision into practical, data-driven solutions that treat data as a product.
Lead day-to-day modeling team delivery, sprint planning and peer reviews
Translate mission objectives into modeling requirements and acceptance criteria
Provide architectural direction on modeling techniques, features and validation
Review modeling pipelines and documentation for quality and governance compliance
Mentor data scientists and analysts on engineering practices and version control
From the employer’s posting
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an AI/ML Modeling Lead to support the United States Air Force (USAF) Rapid Sustainment Office (RSO) Condition Based Maintenance Plus (CBM+) program.
In this role, you will lead the modeling team in translating strategic vision into practical, data-driven solutions that treat data as a product. By fusing historical aircraft maintenance records with real-time sensor telematics, you and your team will deploy predictive models that forecast component failures, optimize fleet maintenance schedules, increase aircraft availability, and minimize operational downtime. Operating within the USAF’s Advana environment, you will ensure our AI/ML solutions are scalable, governed, explainable, and directly aligned with warfighter readiness.
Lead day-to-day modeling team delivery, driving task prioritization, sprint planning, peer reviews, and cross-functional coordination.
Translate complex mission objectives, operational challenges, and stakeholder inputs into defined modeling requirements, assumptions, and acceptance criteria.
Provide architectural direction on modeling techniques, feature engineering, data inputs, validation protocols, and performance tradeoffs
Review modeling pipelines, system documentation, and analytical products for quality, consistency, and compliance with enterprise data governance standards.
Mentor data scientists and analysts by sharing engineering best practices, establishing repeatable modeling frameworks, and championing disciplined version control and documentation habits.
Education & alternatives
- Platform & Tool Familiarity: Solid working knowledge of modern data platforms, cloud architectures, and analytics visualization tools (e.g., Power BI, Tableau). - Education: Master’s degree in a quantitative discipline (Data Science, Computer Science, Engineering, Mathematics, Business Analytics) or equivalent practical experience. Preferred Skills/Education
About Redhorsecorp
Now is a great time to join Redhorse Corporation.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 53.
From 7,823 similar postings that came down. Coming down is not always a hire.
Redhorsecorp is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Power BI
- Tableau
Where the posting names them
- Stakeholder Communication: Exceptional ability to articulate complex AI/ML methodologies, validation results, and technical concepts to non-technical operational leaders. - Platform & Tool Familiarity: Solid working knowledge of modern data platforms, cloud architectures, and analytics visualization tools (e.g., Power BI, Tableau). - Education: Master’s degree in a quantitative discipline (Data Science, Computer Science, Engineering, Mathematics, Business Analytics) or equivalent practical experience.
Your next step
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an AI/ML Modeling Lead to support the United States Air Force (USAF) Rapid Sustainment Office (RSO) Condition Based Maintenance Plus (CBM+) program.
In this role, you will lead the modeling team in translating strategic vision into practical, data-driven solutions that treat data as a product. By fusing historical aircraft maintenance records with real-time sensor telematics, you and your team will deploy predictive models that forecast component failures, optimize fleet maintenance schedules, increase aircraft availability, and minimize operational downtime. Operating within the USAF’s Advana environment, you will ensure our AI/ML solutions are scalable, governed, explainable, and directly aligned with warfighter readiness.
Key Responsibilities
- Team Leadership & Execution: Lead day-to-day modeling team delivery, driving task prioritization, sprint planning, peer reviews, and cross-functional coordination.
- Requirements Translation: Translate complex mission objectives, operational challenges, and stakeholder inputs into defined modeling requirements, assumptions, and acceptance criteria.
- Technical Architecture & Guidance: Provide architectural direction on modeling techniques, feature engineering, data inputs, validation protocols, and performance tradeoffs to ensure solutions are reliable, explainable, and fit-for-purpose.
- Quality & Governance: Review modeling pipelines, system documentation, and analytical products for quality, consistency, and compliance with enterprise data governance standards.
- Cross-Functional Collaboration: Partner closely with data engineers, software developers, product owners, and USAF stakeholders to integrate models into scalable production pipelines within enterprise platforms.
- Risk & Blocker Mitigation: Proactively identify technical dependencies, resource bottlenecks, and delivery risks, providing actionable mitigation paths to program leadership.
- Mentorship & Best Practices: Mentor data scientists and analysts by sharing engineering best practices, establishing repeatable modeling frameworks, and championing disciplined version control and documentation habits.
Required Experience/Clearance
- Security Clearance: Active DoD Secret clearance. Applicants must currently possess an active Secret clearance to be considered. Candidates without an active clearance will not be considered.
- Professional Experience: 6+ years of progressive experience in data science, advanced analytics, or machine learning, including experience leading technical projects or multidisciplinary teams.
- Data Strategy & Execution: Demonstrated track record of leveraging data products to drive operational strategies and high-impact business outcomes.
- Agile Leadership: Proven experience managing technical workflows within collaborative, agile development environments (e.g., Scrum, Kanban).
- Stakeholder Communication: Exceptional ability to articulate complex AI/ML methodologies, validation results, and technical concepts to non-technical operational leaders.
- Platform & Tool Familiarity: Solid working knowledge of modern data platforms, cloud architectures, and analytics visualization tools (e.g., Power BI, Tableau).
- Education: Master’s degree in a quantitative discipline (Data Science, Computer Science, Engineering, Mathematics, Business Analytics) or equivalent practical experience.
Preferred Skills/Education
- Advana / WDP / BLADE: Direct experience working within the CDAO War Data Platform (WDP / Advana) or the USAF BLADE analytics enclave.
- Defense Logistics & CBM+: Domain knowledge of Department of Defense maintenance operations, supply chain logistics, aviation telemetry, or Condition Based Maintenance Plus (CBM+).
- End-to-End Lifecycle Modeling: Hands-on experience executing full-lifecycle modeling workflows, including data cleaning, model design, validation, calibration, hyperparameter tuning, and production documentation.
- Data Quality Frameworks: In-depth understanding of enterprise data governance, data lineage, and automated data quality validation.
- Industry Certifications: Relevant technical or management credentials such as Project Management Professional (PMP), Certified Scrum Product Owner (CSPO), or cloud/data architecture certifications.
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Salary
140,000 – 170,000 USD per year
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 140,000 – 170,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Required Experience/Clearance - Security Clearance: Active DoD Secret clearance. Applicants must currently possess an active Secret clearance to be considered. Candidates without an active clearance will not be considered. - Professional Experience: 6+ years of progressive experience in data science, advanced analytics, or machine learning, including experience leading technical projects or multidisciplinary teams.
More source context
140,000 – 170,000 USD per year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.