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Data Science, AI & Analytics Lead Location: Fort Snelling, MN Work Arrangement: Hybrid (Must reside within 50 miles of Fort Snelling, MN)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time Position Overview Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise. The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights. Work Location Requirement This is a hybrid position. Candidates must reside within 50 miles of Fort Snelling, MN and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access. Key Responsibilities * Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms * Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making * Oversee enterprise data integration, ETL processes, API development, and data engineering activities * Establish and maintain data governance frameworks, metadata standards, and data quality controls * Identify authoritative data sources and ensure compliance with Army and DoD data strategies * Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives * Brief senior military and civilian leadership on analytical findings, recommendations, and program performance * Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions * Support Agile, DevSecOps, and modern data platform practices * Provide technical leadership and mentorship to analytics and data teams Required Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field * Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines * Experience developing predictive models, machine learning solutions, and advanced analytics products * Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms * Experience with data integration, ETL development, and enterprise data management * Strong understanding of data governance, data quality, metadata management, and data stewardship * Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments * Active Secret Security Clearance * U.S. Citizenship required * Ability to communicate complex technical concepts to executive and non-technical audiences Preferred Qualifications * Experience supporting Army, DoD, or federal data and analytics programs * Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms * Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications * Experience leading cross-functional technical teams * Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders Why Forward Edge-AI At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.