Location: San Diego, CA (Hybrid – must be local) | Type: Full-time
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking a proactive, mid-to-senior Data Science / AI Analyst to accelerate the adoption of generative AI, intelligent agents, and process automation for a Navy enterprise IT organization in San Diego. You will partner with senior technical leadership to identify AI capability gaps, help shape a multi-year AI enablement strategy, and build working prototypes that demonstrate measurable operational value.
This is not a traditional dashboard developer role. The successful candidate is a self-starter who blends hands-on engineering with strategic advisory work, engages directly with stakeholders, and delivers results with limited oversight. The role will grow as the organization's AI maturity grows.
Key Responsibilities:
- Assess current and future AI capability gaps and develop technical papers, roadmaps, risk assessments, and actionable recommendations for leadership.
- Take in, evaluate, and prioritize proposed AI use cases, and drive the highest-value ones from concept through delivery.
- Evaluate commercial and open-source AI technologies, including large language models, agent frameworks, and automation platforms, through market research, proofs of concept, and migration planning.
- Design, build, and test AI agents, retrieval-augmented knowledge bases, and workflow automations in secure, accredited cloud and generative AI environments.
- Develop AI-enabled capabilities such as natu