Hybrid AI Predictive Analytics Manager

at Leidos

• Job title: AI Predictive Analytics Manager
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $126,100 - $227,950 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Kubernetes, OpenShift
• Location requirements: Hybrid, United States

About the role

• AI Predictive Analytics Manager driving strategy and delivering impactful results in DoD network modernization. Leading automation and AI initiatives within the Global Solutions Management – Operations II contract.

Responsibilities

• Capability Lead that will drive strategic leadership and capability within the portfolio within the organization
• Ensure that features in each Program Increment (PI) align with the overall roadmap, capability area goals, and established technical baseline
• Collaborate with stakeholders to ensure strategic alignment and delivery of objectives
• Integrate and maintain consistent practices across all agile teams, ensuring alignment with the GAINS Delivery Process/Framework
• Promote adherence to established processes while driving efficiency and effectiveness
• Demonstrate servant leadership by empowering teams, removing impediments, facilitating and coaching, and fostering growth
• Focus on reducing or removing spikes and enabling teams to achieve their goals effectively
• Provide actionable inputs to the team for process improvements based on observations and feedback from team members
• Brings project management skills and practices to Agile projects
• Provide inputs to the Estimate at Completion (EAC) based on funding and staffing needs
• Manage capacity across scrum of scrums and team of teams to ensure optimal resource allocation
• Support customer meetings, including non-agile meetings, and provide input to Rough Order of Magnitude (ROM) estimates
• Conduct and support demos to showcase progress and align with customer expectations
• Address corporate requests and ensure compliance with organizational standards and requirements
• Build, own and successfully execute the product roadmap, incrementally delivering capabilities that benefit mission
• Position GAINS as a leader in innovation, supporting growth of the portfolio within the organization, which may include supporting activities to expand the growth and new business capture
• Design and implement processes, efficiency, and cost improvements
• Recruit, develop, and inspire high-performing teams through mentorship, feedback, and career growth opportunities
• Foster trust by recognizing achievements and empowering autonomy to drive results

Requirements

• Bachelor’s degree in related discipline or equivalent experience
• 12-15 years of professional experience; or 10-13 years with a master’s degree
• Proven experience in strategic planning and roadmap alignment within agile frameworks
• Strong understanding of Agile methodologies, including Scrum and SAFe
• Demonstrated servant leadership skills with a focus on team empowerment and growth
• Experience in continuous improvement initiatives and process optimization
• Ability to manage budgets, staffing, and resource allocation effectively
• Excellent communication and collaboration skills
• Familiarity with predictive analytics, problem detection, anomaly detection, and machine learning concepts
• Proven leadership experience managing technical teams, ideally in data engineering, AI, or ML teams
• Hands-on knowledge of AI and ML technologies, including IBM CloudPak, Elastic for Machine Learning, and Databricks
• Experience deploying and managing workloads in OpenShift or Kubernetes-based environments
• Familiarity with infrastructure as code, CI/CD pipelines, and container orchestration best practices
• Working knowledge of DISA STIGs, RMF, and other DoD compliance frameworks
• Ability to obtain interim Secret DoD Security clearance prior to start date
• Active Security+ Certification (or other applicable 8570 required certification), or ability to obtain one in a short timeframe

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement