Program Manager – AI Pipeline Management

Aptive Resources

Program Manager overseeing AI pipeline management and AI/ML initiatives at Aptive. Leading teams to deliver compliant solutions for the Department of Veterans Affairs.

Posted 5/29/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPMP

About the role

Key responsibilities & impact

Lead enterprise AI initiatives from planning through deployment and operationalization.
Manage timelines, budgets, dependencies, risks, and stakeholder communications across multiple AI programs.
Coordinate cross-functional teams including data scientists, ML engineers, software engineers, cloud architects, security, and business stakeholders.
Establish program governance frameworks, KPIs, and reporting structures.
Design, optimize, and oversee AI/ML lifecycle pipelines including data ingestion and preprocessing, model training and validation, CI/CD for ML models, model deployment and monitoring, and retraining and performance management.
Collaborate with engineering teams to improve automation, scalability, and reliability of AI workflows.
Ensure integration of AI systems with enterprise platforms and business applications.
Drive implementation of MLOps best practices and standardized delivery frameworks.
Monitor AI pipeline performance, SLAs, and operational metrics.
Identify bottlenecks and implement process improvements.
Ensure compliance with security, privacy, governance, and responsible AI standards.
Support incident management and root cause analysis related to AI systems.
Translate technical AI concepts into business-focused updates and recommendations.
Facilitate executive-level reporting and strategic planning.
Align AI program objectives with organizational goals and digital transformation initiatives.

Requirements

What you’ll need

Master’s degree in Computer Science, Engineering, Information Systems, Business, or related field.
PMP, PgMP, Scrum Master, SAFe, or Agile certification.
5+ years of program or project management experience.
3+ years managing AI/ML, data engineering, or MLOps initiatives.
Strong understanding of AI/ML lifecycle management and cloud-based AI platforms.
Experience with Agile, Scrum, SAFe, or hybrid delivery methodologies.
Proven experience managing enterprise-scale technical programs.
Excellent communication, organizational, and leadership skills.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI initiativesML lifecycle managementdata ingestionmodel trainingCI/CD for ML modelsmodel deploymentperformance managementMLOps best practicesprocess improvementsincident management

Soft Skills

communicationorganizationalleadershipstakeholder managementstrategic planningproblem-solvingcollaborationreportingrisk managementtimeline management

Certifications

Master’s degreePMPPgMPScrum MasterSAFeAgile certification