
501 - 1000 employees
Founded 2012
🏛️ Government
Healthcare • Government • Consulting
Aptive Resources is a management consulting firm based in Alexandria, Virginia, specializing in providing innovative solutions to federal government agencies, particularly in veteran and civilian health sectors. With a strong focus on performance optimization, human capital, and data analytics, Aptive aims to improve the quality and accessibility of health care services for veterans and the general public. The company utilizes technology and human-centered services to bridge divides and enhance public service delivery for multiple agencies, including Veterans Affairs, Defense, and others.
🕒 May 29
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501 - 1000 employees
Founded 2012
🏛️ Government
Healthcare • Government • Consulting
Aptive Resources is a management consulting firm based in Alexandria, Virginia, specializing in providing innovative solutions to federal government agencies, particularly in veteran and civilian health sectors. With a strong focus on performance optimization, human capital, and data analytics, Aptive aims to improve the quality and accessibility of health care services for veterans and the general public. The company utilizes technology and human-centered services to bridge divides and enhance public service delivery for multiple agencies, including Veterans Affairs, Defense, and others.
• 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.
• 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.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities
Apply Now🕒 May 29
5001 - 10000
⚕️ Healthcare Insurance
🧬 Biotechnology
💊 Pharmaceuticals
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💰 Convertible Note on 2022-04
⏰ Full Time
🟡 Mid-level
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