Teams at Corner Alliance

Designs and maintains scalable data pipelines and platforms using Databricks and cloud technologies. Responsibilities include ETL development, data modeling, automation, CI/CD, lakehouse implementation, dashboard enhancement, and advanced analytics using LLMs and AI to improve grant oversight and detect fraud, waste, and abuse. The role collaborates with architects, stakeholders, and federal government clients to support data-driven decision-making.

Analyze, clean, transform, validate, and document structured and unstructured datasets for federal analytics and AI-enabled systems. Maintain data pipelines, develop Power BI or similar dashboards, conduct exploratory analysis, identify data-quality issues, automate reporting workflows, and communicate findings to technical and non-technical stakeholders. Ensure data products meet federal standards for accuracy, governance, compliance, and usability.

Reviews federal telecommunications innovation proposals for technical merit, commercial viability, AI/ML capabilities, cloud architecture, security, governance, standards alignment, and program execution realism. Evaluates 3GPP and O-RAN approaches, distributed systems, software engineering practices, AI assurance, and multi-vendor integration feasibility. Provides impartial, evidence-based assessments while maintaining conflict-of-interest compliance. The role is fully remote, approximately 40 hours weekly, and runs from September through October 2026.