Scrum Master - Release Train Engineer - TS​/SCI

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Job Description:

Parsons is looking for an amazingly talented Scrum Master/Release Train Engineer to join our team! In this role you will serve in an execution position critical of advancing the Department's data and AI capabilities. You will operate utilizing Palantir Foundry's object-oriented data environment, you will track sprint cycles, manage Epics, and orchestrate Program Increments (PI). Your daily focus will shift constantly between macro-level program health (aligning technical tracks to Joint Staff CDAO mission objectives as an RTE) and micro-level team execution (coaching data engineers and scientists as a Scrum Master).

• Program Orchestration & DUC Development:
  
  Align multiple technical tracks (data ingestion, pipelines, front-end) to CDAO mission objectives and facilitate Digital Use Case (DUC) development across multi-directorate stakeholders.
• Team Execution & Unblocking:
  
  Coach individual developers and data scientists, facilitate standard Agile ceremonies, shield the team from scope creep, and actively identify, track, and resolve execution blockers alongside the team.
• Palantir Epic & PI Management:
  
  Manage Epics and PIs as custom Object Types within Foundry's Ontology, orchestrating PI Planning using interactive Palantir Workshop dashboards and Notepad documents to map visual object links.
• Palantir Sprint Tracking:
  
  Organize data-centric sprints (e.g., finalizing a writeback function or PySpark transform) using Foundry Tasks rather than traditional flat ticketing databases.
• Custom Metrics & Live Reporting:
  
  Build custom analytical workflows in Palantir Contour or Quiver to track velocity and bottlenecks, presenting real-time, interactive data apps directly to federal clients during Sprint Reviews.
• Government Liaison & Scope Control:
  
  Translate complex Agile metrics into formal status reports for government Contracting Officer's Representatives (CORs), balancing Agile flexibility with rigid federal Statement of Work (SOW) boundaries.
• Security & ATO Gatekeeping:
  
  Ensure all development work aligns with federal security requirements (e.g., FedRAMP controls, Authority to Operate / ATO conditions) before it is slated for a release train.

• Clearance:
  
  Active TS/SCI security clearance.
• 7-10 years' experience supporting Joint Staff or Joint Force products or projects as a Scrum Master or related responsibilities
• Bachelors degree in related field or STEM program
• Agile Certification:
  
  Certified Scrum Master (CSM), SAFe Scrum Master (SSM), or equivalent baseline Agile certification.
• Federal
  
  Experience:
  
  Proven experience working in a federal or DoD contracting environment, with a working understanding of SOW execution and DoD security/ATO constraints.
• Blocker Resolution:
  
  Demonstrated ability to proactively identify execution blockers, communicate them effectively, and work collaboratively inside a technical team to drive resolution.
• Technical Acumen:
  
  Experience managing software development, data engineering, or data science teams, with the ability to comprehend and unblock complex data pipeline dependencies.

• 10+ Years' experience supporting Joint Staff or Joint Force projects or products as a Scrum Master
• Masters degree in related field or STEM Program
• Pod Model Delivery:
  
  Proven experience organizing, managing, and scaling technical teams utilizing Project Oriented Delivery (Pod) models.
• DUC Management:
  
  Experience guiding Digital Use Case (DUC) development, including requirements gathering, prioritizing features, and managing competing interests for multi-directorate stakeholders.
• Advanced Agile Certification:
  
  Active SAFe Release Train Engineer (RTE) certification or SAFe Program Consultant (SPC).
• Palantir Foundry Expertise:
  
  Proven, hands‑on experience structuring Agile workflows, Ontologies, and custom metrics specifically within Palantir Foundry (e.g., configuring Foundry Tasks, Workshop, Quiver, Contour).
• Mission Context:
  
  Prior experience directly supporting the Joint Staff, CDAO, or enterprise-level DoD AI/ML and data integration initiatives.