15 years of relevant experience in data analytics, artificial intelligence, machine learning, or enterprise data management.
Demonstrated experience developing or evaluating AI/ML solutions in complex enterprise environments.
Experience with Python, SQL, statistical analysis, data visualization, and enterprise data platforms.
Strong understanding of data governance, analytics architecture, and information security requirements.
Experience preparing technical recommendations and executive briefings for senior leadership.
Demonstrated ability to work independently across multiple technical and organizational stakeholders.
Preferred experience
Experience supporting DoW, Intelligence Community, or federal national security organizations.
Familiarity with DoW data strategies, enterprise data architecture, and AI governance.
Experience with cloud-based analytics platforms, Machine Learning Operations (MLOps), and large-scale data environments.
Experience supporting senior military or civilian executive leadership.
Qualification wording
15 years of relevant experience in data analytics, artificial intelligence, machine learning, or enterprise data management.
Demonstrated experience developing or evaluating AI/ML solutions in complex enterprise environments.
Experience with Python, SQL, statistical analysis, data visualization, and enterprise data platforms.
Strong understanding of data governance, analytics architecture, and information security requirements.
Experience preparing technical recommendations and executive briefings for senior leadership.
Demonstrated ability to work independently across multiple technical and organizational stakeholders.
Experience supporting DoW, Intelligence Community, or federal national security organizations.
Familiarity with DoW data strategies, enterprise data architecture, and AI governance.
Experience with cloud-based analytics platforms, Machine Learning Operations (MLOps), and large-scale data environments.
Experience supporting senior military or civilian executive leadership.
Education & alternatives
Minimum Qualifications:
PhD, possibly a Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline.
15 years of relevant experience in data analytics, artificial intelligence, machine learning, or enterprise data management.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Where the posting names them
Demonstrated experience developing or evaluating AI/ML solutions in complex enterprise environments.
Experience with Python, SQL, statistical analysis, data visualization, and enterprise data platforms.
Strong understanding of data governance, analytics architecture, and information security requirements.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Koniag IT Systems, LLC a Koniag Government Services company, is seeking a Data AI and Analytics Lead with a TS/SCI security clearance to support KITS and our government customer in Arlington, VA.
Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.
Koniag IT Systems, LLC is seeking is seeking an experienced Data AI and Analytics Lead to provide strategic and technical expertise supporting a senior Department of War executive organization. The successful candidate will lead efforts to integrate advanced analytics, artificial intelligence, machine learning, and data-driven decision support into enterprise-level mission operations.
This individual will work closely with government leadership, technical stakeholders, and mission partners to identify opportunities for leveraging data as a strategic asset, improving operational effectiveness, and accelerating executive decision-making.
The position requires an individual capable of translating complex analytical findings into actionable recommendations for senior government officials while ensuring alignment with Department-wide modernization priorities.
Essential Duties and Responsibilities:
Lead the development and integration of enterprise data analytics, artificial intelligence, and machine learning initiatives supporting mission priorities.
Evaluate existing data environments, analytics capabilities, and organizational data maturity to identify opportunities for modernization and operational improvement.
Develop analytical frameworks, performance measures, and executive dashboards to assess mission effectiveness, capability performance, and operational risk.
Support data governance, interoperability, data quality, and integration efforts across multiple organizations and mission systems.
Assess emerging AI and analytics technologies for technical feasibility, mission relevance, scalability, and operational effectiveness.
Coordinate with government stakeholders to establish data requirements, identify authoritative sources, and validate analytical outputs.
Develop executive-level briefings, technical assessments, and decision-support materials.
Establish measurable criteria for evaluating AI and analytics pilots, including baselines, data provenance, confidence levels, and operational outcomes.
Identify data-related risks, dependencies, and barriers affecting enterprise modernization initiatives.
Minimum Qualifications:
PhD, possibly a Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline.
15 years of relevant experience in data analytics, artificial intelligence, machine learning, or enterprise data management.
Demonstrated experience developing or evaluating AI/ML solutions in complex enterprise environments.
Experience with Python, SQL, statistical analysis, data visualization, and enterprise data platforms.
Strong understanding of data governance, analytics architecture, and information security requirements.
Experience preparing technical recommendations and executive briefings for senior leadership.
Demonstrated ability to work independently across multiple technical and organizational stakeholders.
Preferred Qualifications:
Advanced degree in a related technical discipline.
Experience supporting DoW, Intelligence Community, or federal national security organizations.
Familiarity with DoW data strategies, enterprise data architecture, and AI governance.
Experience with cloud-based analytics platforms, Machine Learning Operations (MLOps), and large-scale data environments.
Experience supporting senior military or civilian executive leadership.
Security Clearance:
Active Top Secret clearance with SCI eligibility/access required.
Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352