QA Receiving Associate

CALIBRE Systems, Inc., an employee-owned management consulting and digital transformation company, is looking for a highly motivated Privacy‑Preserving Record Linkage Automation (PPRLA) Program Manager to join our dynamic team supporting a federal client. This position is accountable for end-to-end delivery of the PPRLA task, providing strategic leadership, technical oversight, and federal compliance assurance to ensure development, validation, and operationalization of a secure, automated record linkage solution. Responsibilities include, but are not limited to: Maintain full accountability for successful delivery of all PPRLA objectives, deliverables, and outcomes. Provide strategic oversight for the design, development, testing, validation, and enhancement of the automated PPRLA solution. Oversee integration of probabilistic and deterministic linking strategies, dynamic confidence scoring, machine learning models, and explainable AI components. Ensure that linkage methodologies meet privacy, security, and compliance standards while maintaining analytical utility. Oversee execution of environmental scans, vendor/software assessments, and technology acquisition activities. Ensure proper management of encryption keys, third party Key Escrow services, secure data transfer, and destruction of keys following linkage. Review and approve linkage performance metrics, quality assessment results, and reporting outputs. Ensure quality assurance processes – both ML based and manual – are effectively implemented and maintained. Guide preparation and dissemination of required documentation, white papers, dashboards, and reporting artifacts. Maintain clear, professional communication with the Contracting Officer’s Representative (COR), National Institute of Health (NIH) stakeholders, and project leadership. Oversee risk management, quality assurance, and federal data security practices related to PPRLA activities. Required Skills Demonstrable, in-depth knowledge of probabilistic and deterministic record linkage methodologies, including POI and PPRL approaches Strong statistical and analytical expertise, including evaluation of linkage accuracy using precision, recall, and confidence scoring Knowledge of artificial intelligence and machine learning methods applied to data linkage Strong communication skills with the ability to clearly convey technical concepts to both technical teams and federal stakeholders Preferred Skills Familiarity with differential privacy and anonymization techniques for sensitive data Knowledge of explainable AI (XAI) or algorithm transparency approaches Required Experience Bachelor’s degree in Data Science, Statistics, Behavioral Science, or related field 5+ years of technical experience in data linkage, automation, and/or secure data environments 2+ years of experience in risk management, quality assurance, and maintaining data security for federal datasets 2+ years of experience serving as a Task Lead on projects of comparable size and complexity Relevant professional certifications commensurate with duties (e.g., PMP, CISSP, CISM, SANS GSNA) Preferred Experience Experience managing AI-enabled or self-learning systems in production environments Experience supporting secure research enclaves or multi-agency data linkage initiatives Experience overseeing or implementing explainable AI (XAI) solutions Qualifications: Demonstrable, in-depth knowledge of probabilistic and deterministic record linkage methodologies, including POI and PPRL approaches Strong statistical and analytical expertise, including evaluation of linkage accuracy using precision, recall, and confidence scoring Knowledge of artificial intelligence and machine learning methods applied to data linkage Strong communication skills with the ability to clearly convey technical concepts to both technical teams and federal stakeholders Preferred Skills Familiarity with differential privacy and anonymization techniques for sensitive data Knowledge of explainable AI (XAI) or algorithm transparency approaches #J-18808-Ljbffr Radwell International