AI & Data Analytics Lead

Anonymous Employer
Arlington, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Arlington, United States of America

Tech stack

JavaScript
Artificial Intelligence
Data analysis
Information Systems
Information Engineering
Data Governance
Data Infrastructure
Data Transformation
Hadoop
Python
Machine Learning
Natural Language Processing
Operational Data Store
Power BI
Search Technologies
Software Engineering
SQL Databases
Systems Integration
TypeScript
Azure
Snowflake
Spark
Generative AI
Data Lake
Information Technology
Amazon Web Services (AWS)
Data Analytics
Kafka
Apache Nifi
Powerapps
Databricks

Job description

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.

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.

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