AI & Data Analytics Lead with Security Clearance

About the role

We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort.

Responsibilities

• Engage directly with business stakeholders to understand acquisition and contract writing processes.
• Identify high-value use cases and connect data across platforms.
• Deliver decision-support capabilities with limited oversight.
• Help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.

Requirements

• 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
• Experience building analytics products in Palantir Foundry.
• Experience working with Advana, Jupiter, or similar federal/DoD data environments.
• Strong experience with SQL, Python, TypeScript/JavaScript.
• Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
• Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
• Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
• Strong understanding of data governance, data quality, access control, and responsible AI practices.
• Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
• Strong client-facing communication skills and stakeholder engagement skills.
• Eligible to obtain a U.S. Government clearance.
• Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.