Lead Systems Engineer

Role Description

As a Lead Systems Engineer - Data at Bravo17, you will elevate data-driven decision-making for federal agencies. This role requires a deep understanding of agency missions, diverse user needs, and relevant policies. You will lead the implementation of advanced data modeling strategies, integrate AI and machine learning techniques into analytical workflows, and translate complex datasets into intuitive products that address critical organizational goals.

• Technical Strategy & Data Strategy:
  • Define and maintain technical standards for data architecture, modeling, and AI integration to ensure consistency, quality, and maintainability across all projects.
  • Propose innovative solutions to enhance data processing, AI model performance, and analytical security.
  • Collaborate with project managers and stakeholders to bridge the gap between business needs and technical data implementation.
  • Develop comprehensive technical documentation, such as data models, schema designs, and AI pipeline specifications, to guide development and ensure team alignment.
• Technical Delivery & AI Integration:
  • Architect and implement secure, high-performance data pipelines and analytical services.
  • Integrate AI/ML models into data workflows, focusing on automated insight generation, predictive modeling, and the development of innovative user experiences.
  • Collaborate with cross-functional teams to define project requirements and technical specifications for data-intensive applications.
  • Mentor junior analysts and engineers, fostering capabilities in AI-driven data tooling and analytical best practices.
  • Conduct rigorous peer reviews to ensure code quality, data accuracy, and adherence to best practices.
  • Troubleshoot and debug complex issues across the full data lifecycle.
• Collaboration & Professional Development:
  • Effectively communicate complex analytical concepts to both technical and non-technical audiences.
  • Collaborate closely with product managers and engineers to ensure that data-driven user needs are met throughout the product development lifecycle.
  • Stay abreast of the latest trends in AI development, data engineering, and statistical modeling.
  • Continuously improve skills through professional development and workshops.

Qualifications

• Minimum of 7–10 years of practical experience in data analysis or data engineering, with a proven track record of technical leadership.
• Strong background in data-intensive applications, with a specific focus on AI-integrated data modeling and cloud computing solutions.
• Thorough understanding of data service design patterns, including REST APIs, microservices, and modern data warehouse architectures.
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated capability to lead technology projects, operate autonomously, or collaborate effectively within a team environment.
• Strong analytical skills with business acumen and the ability to turn data into strategic insights.
• A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field is preferred; however, deep experience can serve as a substitute.

Requirements

• Secret Required (or willingness to apply for Secret).
• Remote; however, we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC areas. Candidates in these hubs will have the opportunity to engage with local team members.

Benefits

• Competitive compensation.
• Health and welfare benefits.
• Flexible ways of working.
• Generous time off policies including vacation/PTO, sick leave, and parental leave.