Chief Data Officer

Chief Data OfficerDayton, OHThe Chief Data Officer shall provide advanced technical support to the AFRL/RA organization, focusing on the development and implementation of data-driven solutions to enhance research and engineering outcomes. This role supports the Chief Data Officer and AI leadership in designing and implementing digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights. The position plays a critical role in modernizing how hypersonic test and technical report data is accessed, structured, analyzed, and utilized—enabling improved research efficiency and innovation across AFRL initiatives.ResponsibilitiesSupport the AFRL/RA team in the collection, storage, management, and retrieval of experimental and computational research data.Develop and implement data-driven solutions to enhance research and engineering outcomesSupport the Chief Data Officer and AI leadershipDesign and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insightsAssist in implementing and advancing digital engineering infrastructure aligned with government reference architectures.Apply machine learning and AI-powered data mining techniques to: Identify statistical trends within existing datasetsDetect gaps in available data (data paucity)Improve the effectiveness of future experimental and computational effortsCollaborate with AFRL/RA AI leadership to design and develop AI agents capable of: Automating extraction of structured data from unstructured historical data packagesUtilizing metadata and technical reports to prioritize relevant information for end usersDevelop and maintain scalable data structures and workflows that enable seamless: Data integrationAnalysisStorage and retrieval across multiple platformsIntegrate heterogeneous datasets from multiple sources into unified analytical frameworks and modeling environments.Support the creation of digital collaboration tools to: Eliminate data silosEnhance accessibility of structured research dataProvide streamlined user interfaces for data interactionEnable transformation of fragmented information into structured, accessible, and analysis-ready datasets.Contribute to model development and data-driven decision support tools for research stakeholders.Other duties as assignedQualificationsMaster of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or StatisticsMinimum ten (10) years in data science / OR A-type workMinimum five (5) experience in designing AI/ML solutions, building data architectures, and creating automation (AI agents)Minimum five (5) years working with large-scale or complex datasetsMinimum five (5) years supporting DoD research programsPossess and maintain an Active Secret ClearanceKnowledge, Skills and AbilitiesKnowledge of machine learning, artificial intelligence, and data science techniquesAbility to design and implement data architectures and workflows aligned with enterprise/government standardsProficiency in handling structured and unstructured data, including data extraction and transformationSkilled in integrating heterogeneous data sources into unified systemsAbility to develop and support AI-driven automation tools (e.g., data extraction agents)Possess analytical and problem-solving skills applied to complex research datasetsPossess effective collaboration skills across technical, engineering, and research stakeholdersPossess excellent written and verbal communication skills for technical audiencesAbility to translate complex data into meaningful insights for decision-makersDemonstrated technical communication skills, including preparation of briefings, technical reports, research papers, and publications.Experience with high-speed flight vehicle technologies, hypersonics, or advanced aerospace systems PreferredExperience with digital engineering concepts and frameworks PreferredExperience working with large, complex, and diverse datasets PreferredExperience in AI/ML model development, training, or deployment PreferredFamiliarity with generative AI tools and data-driven infrastructure development PreferredPhysical Demands (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)The employee will need to be able to perform facility inspections.While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee may use repeated motions that include the arms, wrists, hands and/or fingers. The employee is occasionally required to walk, stand, climb, balance, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision.Any estimated salary provided by this job board may not align with Chenega's compensation program. Please apply to connect with a recruiter who can provide more details