Data Analytics - AI Engineering Lead

March 26

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LMI

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LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

Logistics • Digital Services • Health • Healthcare management • National security operations

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

📋 Description

• Provide technical leadership and strategy for NASA OIG ODA’s migration to a secure AWS cloud analytics environment, ensuring a scalable and efficient architecture. • Develop a modernization roadmap outlining key milestones, implementation scenarios, and tool recommendations. • Perform analysis of alternatives (AoA) on analytic tools, data environments, and implementation strategies. • Lead efforts to design, build, and operationalize data pipelines and automation workflows for enhanced data processing and reporting. • Support data acquisition efforts, working with NASA, OIG, and open-source data providers to ensure access to relevant datasets. • Implement data visualization and dashboard solutions (e.g., Power BI, Tableau) to enable intuitive reporting for audits and investigations. • Oversee data governance, security, and compliance best practices for handling NASA OIG’s sensitive datasets. • Provide project management support to ODA DAIS, facilitating Agile sprint planning using Kanban boards and managing progress toward key deliverables. • Develop and present executive briefings, reports, and recommendations to ODA leadership, supporting data-driven decision-making. • Serve as a liaison between technical teams and business stakeholders, ensuring alignment between analytics capabilities and mission objectives. • Provide staffing recommendations and resource planning guidance, anticipating future skill needs as ODA’s modernization progresses.

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related field. • 7+ years of experience in data analytics, cloud infrastructure, automation, and engineering. • Experience migrating data analytics operations into cloud environments, particularly AWS. • Proficiency in Python, R, SQL, or other data analytics/statistics programming languages. • Expertise in data visualization and dashboarding tools (e.g., Tableau, Power BI). • Strong communication and leadership skills, with the ability to engage both technical and non-technical stakeholders. • Experience working in federal government, auditing, or investigative analytics environments. • Knowledge of NASA’s cloud environment capabilities and best practices (preferred). • Experience in low-code/no-code automation solutions for workflow optimization (preferred). • Certifications such as AWS Certified Solutions Architect, CISSP, or PMP (preferred). • Experience supporting OIG, IG, law enforcement, or oversight agencies (preferred).

🏖️ Benefits

• Work-Life Wellness • Career Development