Leads complex AI, software, and data integration projects in classified intelligence environments. Responsibilities include planning, scheduling, milestone and deliverable tracking, stakeholder coordination, risk mitigation, documentation, status reporting, and application of traditional, Agile, or hybrid methodologies. The role supports intelligence planning conferences, exercises, working groups, capability-development meetings, and mission-partner coordination while aligning technical outcomes with operational objectives.
Overview
BLUEHAWK, LLC is seeking an experienced Project Manager to support AI, software, and data integration initiatives across the JIOC enterprise. This role leads project planning and execution, coordinates technical and operational stakeholders, tracks milestones and deliverables, manages risk, and maintains the documentation needed to keep mission-critical work aligned with operational objectives and timelines.
Responsibilities- Lead the planning and execution of complex AI and data integration projects within intelligence operational constraints.
- Develop and maintain project plans, schedules, milestones, deliverables, action-item trackers, metrics, and key performance indicators.
- Coordinate technical teams, operational users, mission partners, and leadership to maintain alignment and project momentum.
- Identify, assess, communicate, and mitigate project risks, dependencies, and schedule challenges.
- Maintain accurate project requirements, decisions, designs, status reports, and outcome documentation to support accountability and knowledge transfer.
- Apply traditional, agile, or hybrid project management methods based on project and mission requirements.
- Lead kickoff meetings, working sessions, status reviews, and after-action assessments.
- Participate in JIOC intelligence planning conferences and exercises, J2 working groups, capability-development meetings, Joint and national-level intelligence coordination boards, and technical exchanges with mission partners.
- Active TS/SCI clearance with polygraph.
- Experience managing technical projects in a classified environment.
- Working knowledge of waterfall and agile project management methodologies.
- Understanding of software development lifecycles, project controls, and documentation practices.
- Ability to lead cross-functional teams, resolve conflicts, and communicate effectively with technical professionals, operational users, and senior leaders.
- Strong organizational discipline, attention to detail, judgment, and follow-through.
- At least 8 years of progressive project management experience, including at least 5 years managing complex technical projects in intelligence or defense environments.
- Demonstrated success leading high-profile, mission-critical projects with significant complexity.
- Expert knowledge of project management methodologies and the ability to select and apply the appropriate approach.
- Comprehensive understanding of intelligence systems, infrastructure, and operations.
- Experience mentoring project managers or establishing project management standards and best practices.
Preferred Qualifications
- Project management certification such as PMP, PgMP, or SAFe.
- Experience supporting AI, data integration, software, or intelligence capability-development initiatives.
- Experience connecting project outcomes to strategic mission objectives.
Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.
Top Skills:
Automated TestingBarometersC++CamerasCeresCi PipelinesEkfEmbedded LinuxGpsGraph-Based OptimizationGtsamImuLaser AltimetersMagnetometersMatlabOpenvinsParticle FiltersPythonSlamUkfVio
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.
Top Skills:
3D Computer VisionDeep LearningDiffusion ModelsEmbedded Compute PlatformsFlow MatchingGpu ComputingModel QuantizationMulti-View GeometryOnnxPythonPyTorchSensor Data PipelinesSlamStructure From Motion (Sfm)TensorrtVisual-Inertial Odometry (Vio)
Information Technology
Develops and implements knowledge management strategies, processes, systems, and tools. Captures and organizes organizational knowledge, analyzes metrics, identifies process efficiencies, and supports automation. Collaborates with business leaders, subject matter experts, and IT teams to improve knowledge sharing and retention. Creates technical documentation, delivers training and workshops, manages initiatives, researches emerging technologies, and promotes adoption of knowledge management practices across managed services teams.
Top Skills:
Power BIServicenow
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
