Lead AI & Data Analytics Engineer - Must be government clearance eligible

About Navaide Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments. Catalysts for a Stronger Tomorrow At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities. How You Will Make an Impact: We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. The ideal candidate will 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. Key Responsibilities: Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations. Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform. Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions. Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools. Build and maintain ETL/ELT pipelines in Foundry’s Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry’s open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows. Identify, prioritize, and drive analytics and AI use cases from concept through delivery. Partner with acquisition, contracting, program, and technical…