Lead AI & Data Analytics Engineer - Must be government clearance eligible
Lead AI & Data Analytics Engineer - Must be government clearance eligible
Posted yesterday
SENIORITY
Lead
About the role
- 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 stakeholders to understand business problems and translate them into data and AI solutions.
- Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
- Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
- Support data integration across contract writing, procurement, financial, program, and operational data sources.
- Validate AI-generated outputs against source data, business rules, and subject‑matter expert feedback.
- Establish standards for data quality, governance, documentation, and responsible AI use.
- Provide technical direction to junior or support‑level data analytics staff.
- Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.
- Competitive compensation: (commensurate with experience)
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.401(K) matching
- About Our Culture
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A number in mind
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Your notice period
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