Data Analytics and AI Integrator
PENDING CONTRACT AWARD WINTER 2026
Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver on a scale and with purpose.
We’ve been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges.
Position Summary
Credence has an upcoming need for a Data Analytics and AI Integrator serves as the senior contractor authority for data analytics, automation, artificial intelligence, and machine learning initiatives across the SAF/CN support program. This position will Lead integration across cybersecurity, compliance and policy, business enterprise management, enterprise IT, and program-management activities. This position will establish a coordinated delivery approach, align initiatives with Government data and responsible-AI standards, and ensure that analytics and AI solutions are secure, explainable, reusable, measurable, and ready for Government decision or operational adoption.
Primary Responsibilities
Enterprise Leadership, Governance, and Integration
- Lead and integrate contractor Data and AI execution across SAF/CNZ, SAF/CNB, SAF/CNS, and program-management activities, coordinating priorities with the applicable division leads and the Contractor Program Manager.
- Serve as the principal contractor interface for cross-cutting Data and AI matters and coordinate with SAF/CND, SAF/CTO, system owners, Authorizing Officials, portfolio managers, infrastructure teams, and other stakeholders to align with enterprise standards and avoid duplicative or conflicting solutions.
- Establish and maintain an integrated Data and AI roadmap, use-case inventory, prioritization process, dependency map, and delivery backlog that connect initiatives to mission outcomes, performance requirements, authoritative data sources, and accountable owners.
- Lead cross-functional teams of data analysts, data engineers, data architects, cybersecurity specialists, cloud architects, automation developers, and mission subject matter experts; set priorities, resolve dependencies, review quality, and elevate delivery, security, data, or adoption risks.
- Brief senior DAF leaders on Data and AI opportunities, portfolio status, measurable benefits, resource implications, risk, adoption barriers, and recommended decisions.
Data Analytics, Engineering, and Decision Support
- Design and oversee analytics products that integrate authoritative cybersecurity, compliance, portfolio, architecture, asset, financial, operational, and infrastructure data to provide timely, decision-quality insight.
- Establish repeatable practices for data discovery, profiling, validation, cleansing, reconciliation, metadata management, lineage, quality measurement, access-control mapping, and authoritative-source designation.
- Guide development of reusable data models, taxonomies, data dictionaries, data pipelines, application programming interfaces, dashboards, scorecards, and automated workflows using Government-approved platforms.
- Apply advanced analytics to identify trends, anomalies, systemic control failures, aging actions, cost and capacity drivers, modernization candidates, and mission-risk priorities, with qualified human validation before Government use.
- Translate analytic findings into clear executive briefings, decision papers, implementation recommendations, and measurable performance indicators.
AI/ML Strategy, Delivery, and Responsible Use
- Identify and assess AI/ML opportunities across cyber compliance and auditing, eMASS and workflow automation, policy comparison, business-process optimization, portfolio and investment analysis, forecasting, architecture metadata quality, asset and license management, and enterprise IT modernization.
- Develop business cases and implementation recommendations addressing mission value, data readiness, security, privacy, records management, technical maturity, interoperability, scalability, cost, workforce impact, and acquisition or licensing implications.
- Lead approved pilots and implementations through data preparation, model or service selection, evaluation-criteria definition, testing, human-in-the-loop control design, deployment planning, user adoption, and post-deployment monitoring.
- Establish and maintain model inventories, registrations, model cards, provenance records, evaluation and bias-assessment results, human-oversight controls, and monitoring for accuracy degradation and model drift.
- Ensure all AI-assisted output is reviewed by qualified personnel and that Government data is used only with approved services, models, environments, classifications, and handling controls.
AI Security, Authorization, and Data Protection
- Integrate security and authorization considerations from inception, including AI/ML system architecture and data-flow analysis, authorization boundaries, control allocation, inherited controls, evidence requirements, and residual-risk documentation.
- Address training and inference data integrity, provenance, model versioning, adversarial inputs, prompt injection, output validation, endpoint access, secrets management, supply-chain risk, and post-deployment monitoring.
- Apply data-level protection through classification-aware tagging and handling, encryption, least privilege, attribute-based access control, privacy safeguards, records-management controls, and Zero Trust principles.
- Assess reuse of existing Government-licensed analytics, automation, cloud, and AI platforms before recommending new acquisition, and avoid unnecessary vendor lock-in or proprietary dependencies.
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.
Preferred Qualifications
- 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.
Performance Expectations
- Own the technical quality, integration, security, and timely delivery of cross-program Data and AI products and maintain a Government-visible roadmap, use-case inventory, dependency register, and benefits tracker.
- Ensure every recommended or implemented AI use case includes documented mission value, authoritative data sources, data-readiness and risk assessment, responsible-AI controls, human-review requirements, evaluation criteria, and an accountable Government decision owner.
- Maintain at least 95% accuracy and timeliness for analytics, dashboards, automation products, and decision support, correcting identified quality issues promptly and documenting material data limitations.
- Prevent the introduction of Government data into unapproved AI services or tools and ensure analytics and AI artifacts remain auditable, transferable, and supportable without dependence on undocumented contractor knowledge.
- Quantify benefits from approved analytics, automation, and AI initiatives, including hours eliminated, cycle-time reduction, rework avoided, data-quality improvement, cost savings or avoidance, and mission-risk reduction.
- Provide the Program Manager and division leads with accurate status, risks, decisions, and upcoming milestones for program reporting and senior-leader review.
Please join us, as together we build a better world one mission at a time powered by technology and its people!
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
Skills
As published by workable · 1 question
Basics
First name, Last name, Email, Headline, Please list your full legal first and last name (e.g., John L. Smith II), Please provide your preferred first name, Phone, By providing a phone number and submitting this form you consent to receive SMS text messages from Credence LLC in accordance with our SMS Privacy Policy (https://credence-llc.com/careers/sms-privacy/) Message and data rates may apply. Message frequency may vary. Reply No, to STOP and opt out., Address, Photo, Education, Experience, List any work related certifications or licenses you currently possess, Please comment on how your prior education and experiences qualify you for the type of employment you are seeking., Summary, Resume, Please indicate which active clearances you have, If you have a security clearance not listed, please fill in., Cover letter, Type of work desired, What is your annual salary expectation? 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I understand, where permissible under applicable state and local law, I may be subject to a pre-employment medical examination after receiving a conditional offer of employment, and must meet the qualifications for the position, with or without reasonable accommodation, before being permitted to commence work with Company. I understand, where permissible under applicable state and local law, I may be subject to a pre-employment background check after receiving a conditional offer of employment to investigate my criminal background and other matters related to my suitability for employment. Initial to agree., I hereby certify that the information given by me is true in all respects. 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I also agree to notify the organization during the pre-employment process of any non-solicitation, non-disclosure, and/or other similar agreements that I may have already signed with current and former employers. I expressly understand and agree that, if employed, my employment, having no specified term, is based upon mutual consent and may be terminated at-will, with or without cause, by either party (Company or me) without prior notice to the other, unless otherwise prohibited by law. I understand that no representation, whether oral or written, by any representative or agent of Company, at any time, can constitute an implied or express contract of employment. I further understand no representative or agent of Company has the authority to enter into an agreement for employment for any specified period of time or to make any change in any policy, procedure, benefit or other terms or condition of employment other than in a document signed by an authorized representative. I understand that the technical processing and transmission of the application, including my personal information, may involve (a) transmissions over various networks, including the transfer of this information to the United States and/or other countries for storage, processing and use by Company, its affiliates, and their agents; and (b) changes to conform and adapt to technical requirements of connecting networks and devices. Accordingly, I agree to permit such parties to make such transmissions and changes, and hereby provide the necessary consent for the same. Initial to agree., Do you currently meet the worksite location requirements for being On-site or Hybrid as defined in the job description?, If “No”, are you willing to relocate to meet this requirement? Please note that candidates who are unable to work onsite or relocate will not meet the position requirements.
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- Do you have an active or current Top Secret security clearance with Sensitive Compartmented Information (TS/SCI) eligibility, verifiable in the Defense Information System for Security (DISS)?