98 applicantsPosted by Agency

Company

USAJOBS · 23 hours ago

Data and AI Officer

Anywhere in the U.S. (remote job), USA

Full-time

Remote

Entry, Mid Level

$89K/yr - $115K/yr

1+ years exp

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ConsultingGovernment

No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Engage with key personnel to recommend program improvements with respect to data governance and management.

Develops recommendations for improving database design and data capture mechanisms.

Leads DMA's Congressionally Directed Digital Content Provenance tasks of assessing industry open technical standards and conducting a limited pilot to ascertain the applicability for DoD use.

Incumbent will lead agency data and AI policy development, establish and execute governance, and assist in the development of DMA Data and AI strategy.

Proposes, drafts, coordinates, reviews, evaluates, and provides recommendations on data policies, regulations, and procedures to increase the effectiveness of data governance, data management, and data analytics efforts.

Develop, analyze, and evaluate the governance and executive staff engagements with higher headquarters and DoD CDAO.

Synchronize the executive staff on engagements and create shared understanding of previous and future engagements.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data governanceData managementAI/ML trendsData engineeringSQLPythonPowerShellBashContainers e.g.Containers DockerDevOps/DevSecOpsCloud resources managementSDLCData pipelinesData automationsData catalogingIT solutions acquisitionRMFAI risk measurementMathematics degreeStatistics degreeActuarial science degree

Required

Must be a U.S. Citizen

Occasional Travel

Work Schedule: Full-time

Males born after 12-31-59 must be registered for Selective Service

Suitable for Federal employment, determined by a background investigation

May be required to successfully complete a probationary period

Overtime: Occasionally

Tour of Duty: Flexible

Recruitment Incentives: Not Authorized

Fair Labor Standards Act (FLSA): Exempt

Financial Disclosure: Not Required

Telework Eligibility: This position is remote work eligible

Must possess or be able to obtain and maintain a secret security clearance

Must be able to pass a pre-employment drug screening, and periodic tests thereafter

Temporary duty travel may be required but will not typically exceed 10%

One year of specialized experience equivalent to the GS-12 grade level in the Federal service as listed below: Experience with current trends and applications of data, analysis and assessment in support of agency mission to include trends in AI/ML, data cataloging and data stewardship

Experience with skill in using data engineering and development, security, and operations (DecSecOps) skills (SQL, Python, PowerShell or Bash, and containers [e.g., Docker]) Skill and ability in enabling data science / analytics at scale using distributed storage and distributed compute

Experience in managing and administering DevOps/DevSecOps platforms, managing and provisioning cloud resources, and applying Software development life cycle (SDLC) while integrating security best practices (e.g., container security principles)

Experience in developing data pipelines and automations to transform, cleanse, and serve data and in automating data management (e.g., data cataloging)

Skill and ability in acquiring IT solutions within government and/or applying / managing RMF

Ability to determine methods and metrics for quantitative and qualitative measurement of AI risks so that sensitivity, specificity, likelihood, confidence levels, and other metrics are identified, documented, and applied

Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position

Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience