Data Analytics and AI Integrator

Credence has an upcoming need for a Data Analytics and AI Integrator who serves as the senior contractor authority for data analytics, automation, artificial intelligence, and machine learning initiatives across the SAF/CN support program. The position leads integration across cybersecurity, compliance and policy, business enterprise management, enterprise IT, and program-management activities, and ensures analytics and AI solutions are secure, explainable, reusable, measurable, and ready for Government decision or operational adoption.

Responsibilities

Lead and integrate contractor Data and AI execution across SAF/CNZ, SAF/CNB, SAF/CNS, and program-management activities; Serve as the principal contractor interface for cross-cutting Data and AI matters; Establish and maintain an integrated Data and AI roadmap, use-case inventory, prioritization process, dependency map, and delivery backlog; Lead cross-functional teams of data analysts, data engineers, data architects, cybersecurity specialists, cloud architects, automation developers, and mission subject matter experts; Brief senior DAF leaders on Data and AI opportunities, portfolio status, measurable benefits, resource implications, risk, and recommended decisions; Design and oversee analytics products integrating authoritative cybersecurity, compliance, portfolio, architecture, asset, financial, operational, and infrastructure data; Establish repeatable practices for data discovery, profiling, validation, cleansing, reconciliation, metadata management, lineage, and quality measurement; Guide development of reusable data models, taxonomies, data dictionaries, data pipelines, APIs, dashboards, scorecards, and automated workflows; Apply advanced analytics to identify trends, anomalies, control failures, cost and capacity drivers, and mission-risk priorities with qualified human validation; Identify and assess AI/ML opportunities across cyber compliance, eMASS and workflow automation, policy comparison, business-process optimization, portfolio analysis, forecasting, and enterprise IT modernization; Develop business cases and implementation recommendations; Lead approved AI/ML pilots and implementations through deployment, user adoption, and post-deployment monitoring; Establish and maintain model inventories, model cards, provenance records, evaluation and bias-assessment results, and human-oversight controls; Integrate security and authorization considerations from inception, including AI/ML system architecture, authorization boundaries, and residual-risk documentation; Address training and inference data integrity, adversarial inputs, prompt injection, output validation, secrets management, and supply-chain risk; Apply data-level protection including classification-aware handling, encryption, least privilege, attribute-based access control, and Zero Trust principles; Own the technical quality, integration, security, and timely delivery of cross-program Data and AI products; Maintain at least 95% accuracy and timeliness for analytics, dashboards, automation products, and decision support; Quantify benefits from approved analytics, automation, and AI initiatives; Provide the Program Manager and division leads with accurate status, risks, decisions, and upcoming milestones

Requirements

Active TS/SCI security clearance; Bachelor's degree or equivalent combination of education, professional training, and directly relevant experience in data science, analytics, computer science, information systems, engineering, cybersecurity, mathematics, operations research, or a related discipline; At least 12 years of progressively responsible experience in data analytics, data engineering or architecture, AI/ML, automation, enterprise IT, cybersecurity analytics, digital modernization, or a closely related field; Demonstrated experience leading multidisciplinary technical teams and coordinating enterprise initiatives across multiple organizations or mission areas in a complex Federal, DoW/DoD, DAF, or comparably regulated environment; Demonstrated ability to take Data or AI initiatives from use-case definition and data-readiness assessment through design, pilot, evaluation, implementation, governance, and performance monitoring; Working knowledge of responsible-AI, data governance, cybersecurity, privacy, records management, cloud, and Zero Trust principles sufficient to integrate specialist inputs and advise senior leaders; Experience developing or overseeing executive dashboards, analytical models, automated workflows, data pipelines, technical assessments, strategies, roadmaps, governance artifacts, and decision-quality briefings; Ability to work in a hybrid NCR environment, report to the Pentagon or other Government facilities within required response times, and perform independently without routine Government or Contract PM assistance

Nice to have

Graduate degree in data science, analytics, artificial intelligence, computer science, engineering, cybersecurity, information systems, operations research, or a related discipline; Prior experience supporting SAF/CN, Headquarters Air Force, a Service CIO/CDAO, DoW/DoD CIO, or an equivalent enterprise Data and AI governance organization; Project Management Professional (PMP), Certified Data Management Professional (CDMP), AWS or Azure data/cloud certification, security certification, or a recognized AI/ML credential; Experience with NIST AI RMF, AI system authorization, model risk management, MLOps, data catalogs, business-intelligence platforms, robotic process automation, and Government-approved generative-AI environments; Demonstrated experience producing measurable cycle-time, rework, cost, data-quality, risk-reduction, or decision-speed improvements through analytics, automation, or AI

Benefits

Health Care Plan (Medical, Dental & Vision); Retirement Plan (401k, IRA); Life Insurance (Basic, Voluntary & AD&D); Paid Time Off (Vacation, Sick & Public Holidays); Family Leave (Maternity, Paternity); Short Term & Long Term Disability; Training & Development