Program Manager – AI Pipeline Management

Posted 10hrs ago

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Job Description

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

Responsibilities:

  • 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:

  • 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:

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