Senior PM Domain Analyst

Peraton•Basking Ridge, NJ

About The Position

Peraton Labs is seeking an authoritative subject matter expert on program management practices, earned value management, and commercial and defense acquisition processes. This role bridges the gap between engineering teams and the program management domain, defining the analytical models, data schemas, and business rules that drive program management capabilities within an advanced analytical platform.

Requirements

Minimum of 8+ years of experience with a Bachelor's degree, 6+ YoE with a Master's degree, or 3+ YoE with a PhD in Engineering, Business, or related field
Experience in commercial or defense program management, earned value management, or acquisition oversight
Deep expertise in EVM principles and practices (EIA-748 compliant)
Experience with Integrated Master Schedules (IMS), Work Breakdown Structures (WBS), and cost performance reporting
Familiarity with IPMDAR/IPMR reporting formats and data elements
Understanding of risk management frameworks (DoD Risk, Issue, and Opportunity Management Guide)
Strong analytical skills and ability to translate domain knowledge into technical requirements
Excellent communication skills; ability to work effectively with software engineers
US Citizenship with the ability to obtain/maintain a Secret clearance

Nice To Haves

PMP or DAWIA Program Management certification
Experience with DCMA surveillance or program oversight roles
Familiarity with data analytics tools and concepts (SQL, Python basics, BI dashboards)
Experience as a Control Account Manager (CAM) or Earned Value Analyst
Master's degree in Engineering, Business, or related field is preferred

Responsibilities

Define data models and ontologies for cost, schedule, risk, and earned value management (EVM) data
Establish the "ground truth" schemas for structured program data: IMS baselines, cost performance reports, EVM metrics (CPI, SPI, TCPI, EAC, VAC), and IPMDAR formats
Design health/status scoring methodologies and RAG (Red/Amber/Green) assessment criteria
Define the rules and heuristics for non-traditional analysis: what signals in unstructured data (meeting notes, emails, briefings) indicate true program health vs. what the structured data reports
Validate analytical outputs from cost/schedule, risk, and data fusion engineers against real-world program management standards
Serve as the primary requirements source for all PM-related engineering work
Develop test cases and acceptance criteria for PM analytical features
Advise on compliance with DoD acquisition regulations (DoDI 5000 series, EIA-748)