Executive Director Jobs

About The Position

Requirements

• Demonstrated track record of designing and delivering production software systems end-to-end, from problem framing through deployment and iteration.
• Hands-on experience building AI/LLM-based systems, including agents, retrieval-augmented generation (RAG) architectures with vector search and document indexing, prompt and context engineering, agent-tool protocols (such as MCP), and the operational concerns associated with deploying them.
• Strong software engineering fundamentals across multiple languages and stacks, with proficiency in Python and TypeScript / JavaScript, along with associated cloud and infrastructure-as-code tooling.
• Working knowledge of modern data platforms, including BigQuery or equivalent cloud warehouse, dbt, and semantic-layer concepts.
• Experience with cloud platforms (both GCP and Azure are currently in use at NAP), including service deployment, IAM, secrets management, and storage and search services.
• Demonstrated ability to lead process-discovery work with non-technical stakeholders, including scoping a problem, conducting stakeholder interviews, and producing a written framing that withstands review.
• Strong written and architectural communication skills, with a track record of producing documentation usable by varied audiences.
• Demonstrated executive-level judgment and a high degree of self-direction.

Nice To Haves

• Experience in regulated industries, including pharmaceuticals, life sciences, healthcare, or finance, and familiarity with the audit, validation, and access-control requirements they entail.
• Familiarity with clinical-trial data, CDISC standards (ADaM, SDTM), or comparable domain-standardized data models.
• Prior experience as a consultant or as a solo technical contributor within a small team.
• Exposure to one or more of the following: audio or media processing, BI platforms, mobile application development, knowledge-management systems.

Responsibilities

• Lead the design and development of AI agents serving internal users at NAP, along with the supporting infrastructure that makes NAP's data and systems accessible to those agents.
• Engage with stakeholders across the organization to identify process pain points, distinguish technical problems from organizational ones, and design appropriate interventions (whether software, workflow changes, or a combination).
• Lead and grow the team of AI solution engineers, whether internal staff or external contributors. Set technical standards and review practices, allocate effort across competing opportunities, and mentor engineers in the design discipline this role embodies.
• Define how agent and solution quality is measured, both before release and in production. Build evaluation suites, monitoring, and feedback loops that surface drift, regressions, and failure modes early.
• Design and implement integration layers (including semantic layers, metadata services, and APIs) between NAP’s data platform, analyst-facing tooling, agent surfaces, and third-party systems.
• Build and maintain custom applications, internal tools, dashboards, and automations where vendor solutions are not a fit.
• Produce architecture explainers, decision records, and stakeholder-facing materials that serve engineers, analysts, and executives.

Benefits

• competitive base salary
• annual bonus
• long-term incentives
• comprehensive benefits package
• health insurance
• dental and vision coverage
• term life and disability coverage
• retirement plans