AI Data Analyst

Navaide•San Diego, CA

1d•Hybrid

About The Position

Navaide is seeking a proactive, mid-to-senior Data Science / AI Analyst to advance generative AI, intelligent agents, and process automation for a Navy enterprise IT organization in San Diego. The role partners with senior technical leadership to identify AI capability gaps, shape a multi-year AI enablement strategy, and build prototypes that demonstrate operational value. It combines hands-on engineering with strategic advisory work, stakeholder engagement, and independent delivery, and is expected to grow as the organization’s AI maturity develops. The position is hybrid and requires the candidate to be local to San Diego, with regular on-site work at a government facility and remote work based on mission needs. It follows a standard Monday–Friday workweek and may involve occasional travel to other government sites. Candidates must be U.S. citizens eligible to obtain and maintain a U.S. Government SECRET clearance and able to meet DoD cyber workforce qualification requirements (DoDM 8140.03).

Requirements

Bachelor's degree and at least 5 years of professional data science experience, or a master's degree and at least 10 years of experience, in Data Science, Data Engineering, Computer Science, or a related technical field.
U.S. citizenship and eligibility to obtain and maintain a U.S. Government SECRET clearance.
Must be local to San Diego and able to work on-site at a government facility on a regular hybrid schedule.
Strong Python and SQL skills, including data pipeline development.
Hands-on experience building LLM applications, including retrieval-augmented generation, agents and tool use, prompt engineering, and output evaluation.
Experience with Azure and/or AWS and data platforms such as Databricks.
Understanding of data governance, data quality, access control, and responsible AI practices.
Ability to explain technical findings in plain language to senior military and civilian leaders.
Ability to meet DoD cyber workforce qualification requirements (DoDM 8140.03).

Nice To Haves

Active SECRET clearance.
Experience with GenAI.mil or other DoD-accredited generative AI environments.
Experience with frontier model platforms such as Anthropic Claude, Google Gemini, and OpenAI.
Experience with Model Context Protocol or similar agent-integration standards.
Experience with Advana, Jupiter, or similar federal/DoD data environments.
Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) or MLOps.
Experience with tactical edge or disconnected-environment data tooling.
Knowledge of DoD Responsible AI guidance and AI test and evaluation.
Prior Navy experience.

Responsibilities

Assess current and future AI capability gaps and develop technical papers, roadmaps, risk assessments, and actionable leadership recommendations.
Evaluate and prioritize proposed AI use cases, driving high-value cases from concept through delivery.
Evaluate commercial and open-source AI technologies, including LLMs, 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 natural language querying, automated leadership summaries, document analysis, and decision-support recommendations.
Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
Develop data pipelines, integrations, and data quality controls that support AI solutions.
Help establish standards for AI governance, risk management, data quality, documentation, and responsible AI use.
Partner with functional subject matter experts, data owners, and field innovation teams to translate business needs into technical solutions.
Represent the team in cross-organizational AI and data working groups.
Deliver training and knowledge transfer to build self-service AI and analytics capability across user communities.
Present findings, prototypes, and recommendations to technical and non-technical audiences.