Program Manager - AI Pipeline Management

Posted 6 Hours Ago
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Hiring Remotely in US
Remote
Senior level
Healthtech • Information Technology • Consulting
The Role
Manage enterprise AI and machine learning programs from planning through deployment and operations. Coordinate data, engineering, cloud, security, and business teams; oversee MLOps pipelines, governance, monitoring, risks, budgets, and dependencies. Drive automation, compliance, incident management, executive reporting, and continuous improvement for secure AI solutions supporting federal healthcare initiatives.
Summary Generated by Built In
Job Summary

We are seeking a highly organized and technically savvy Program Manager with expertise in AI pipeline management to support Department of Veterans Affairs (VA) initiatives focused on AI/ML operations, healthcare analytics, automation, and scalable digital transformation. This role will oversee the planning, coordination, execution, and optimization of AI development pipelines across data engineering, model development, deployment, governance, cybersecurity, and operational monitoring within a federal healthcare environment.


The ideal candidate combines strong program management capabilities with hands-on understanding of AI workflows, MLOps, cloud infrastructure, federal compliance requirements, and enterprise-scale healthcare technology delivery practices. The Program Manager will work closely with VA stakeholders, clinical and business teams, engineers, architects, and federal leadership to ensure successful delivery of secure, compliant, and mission-driven AI solutions that improve Veteran outcomes and operational efficiency.

Primary Responsibilities

Program & Portfolio Management

  • 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.

AI Pipeline Management

  • 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
    • 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.

Operational Excellence

  • 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.

Stakeholder Engagement

  • 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.
Minimum Qualifications
  • 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.

Desired Qualifications

Preferred Qualifications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with tools and technologies such as:
    • MLflow
    • Airflow
    • Databricks
    • Jenkins/GitHub Actions
    • Python
    • Terraform
    • Snowflake
  • Knowledge of AI governance, model risk management, and responsible AI practices.
  • Experience in VA or other Federal Agencies

Technical Skills

  • AI/ML pipeline orchestration
  • MLOps and CI/CD automation
  • Cloud infrastructure and DevOps
  • Data lifecycle management
  • Risk and dependency management
  • Resource planning and forecasting
  • Executive reporting and stakeholder management

Soft Skills

  • Strategic thinker with strong analytical abilities
  • Strong leadership and team coordination capabilities
  • Excellent problem-solving and decision-making skills
  • Ability to manage competing priorities in fast-paced environments
  • Strong collaboration and communication skills across technical and non-technical teams

About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. ​


We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. ​


Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.


Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Skills Required

  • Master's degree in Computer Science, Engineering, Information Systems, Business, or a 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
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with MLflow, Airflow, Databricks, Jenkins or GitHub Actions, Python, Terraform, and Snowflake
  • Knowledge of AI governance, model risk management, and responsible AI practices
  • Experience in the Department of Veterans Affairs or other federal agencies
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The Company
HQ: Alexandria, VA
349 Employees
Year Founded: 2012

What We Do

Led by CEO Rachele Cooper, a Navy Veteran and aerospace engineer, Aptive is a trusted partner and consulting services provider for federal organizations seeking to accomplish strategic transformations, improve performance and leverage modern technology. Aptive is an ISO 9001:2015 and CMMI L3 certified business and has supported the federal government for more than a decade across a range of high-profile programs. We provide our clients with program and project management, strategy, analysis, integration and implementation across an array of services, including: *Health Care Innovation *Digital and Technology Solutions *Strategic Communications and Marketing Aptive is a Service Disabled Veteran Owned Small Business (SDVOSB) and Woman Owned Small Business (WOSB) headquartered in Alexandria, Virginia. ∙ 2021 Top Workplace (The Washington Post) ∙ 2021 Best Places to Work in Virginia (Virginia Business) ∙ 2020 Small Business Government Contractor of the Year (Northern Virginia Chamber of Commerce) ∙ 2020 Best Places to Work (Washington Business Journal) ∙ 2020 Vet100 Honoree – Institute for Veterans and Families

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