Director- Data, & Internal AI Platform

Job Description This company runs on data and AI, and this team owns the foundation that makes both work. The Data & AI Platform team builds and maintains the trusted data infrastructure, semantic layer, BI platform, and internal AI tooling that powers every insight, automation, and AI-enabled workflow across the company. The team spans data engineering, analytics engineering, BI, and software engineering, and the edges between those disciplines are intentionally blurry. If you find that energizing rather than uncomfortable, this role was written for you. We're looking for a Director to lead this team — not to maintain what exists, but to build a platform that's still being defined. You'll own the data foundation the entire company leans on, drive the AI-ready infrastructure that makes agents and automations actually work, and create the internal AI workspace where every employee can find, use, and contribute without friction. This is a high-autonomy, high-accountability role with real organizational reach and a clear mandate to build ahead of the business.

Responsibilities:

• Ship the near-term foundation: governed connectors, a seeded skills library, a validated AI surface, and eval infrastructure.
• Own Internal AI platform - the workspace where every employee can find, use, and contribute AI skills and workflows. This includes the skills flywheel, agent surfaces, and observability infrastructure that make it safe to scale.
• Drive measurable business outcomes: faster time to insight, higher KPI confidence, operational efficiency, and revenue impact tied directly to the team's work.
• Partner closely with Applied AI, Analytics, Business Systems, IT, and GTM Operations — understanding their needs well enough to build ahead of them.
• Make informed build vs. buy decisions, including knowing when to throw work away when something better comes along.
• Translate technical decisions into business impact, clearly and consistently, for leadership and operating stakeholders.
• Architect for scale while moving at the speed the business requires, avoiding over-engineering and knowing when good enough ships.
• Set a clear direction while remaining open to changing course.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 8 years in data, engineering, or similar roles, with demonstrated people leadership experience across senior technical ICs.
• Strong command of data architecture, analytics engineering, BI platforms, and modern data stacks — you can engage deeply with the technical work, not just manage it.
• Experience building internal platforms or tooling, with an understanding of the governance and operational trust required for company-wide adoption.
• Track record owning company-critical metrics, semantic layers, and governance frameworks — stakeholders trusted your numbers.
• Comfort leading across blended disciplines: data engineering, analytics engineering, BI, and software engineering.
• Excellent judgment and prioritization skills, with a clear, confident communication style that translates technical work into business outcomes.
• Intellectual restlessness — you stay current on a fast-moving landscape and are genuinely willing to change course when the data demands it.
• Hands-on experience with dbt, Fivetran, BigQuery, or similar modern data stack tooling.
• Familiarity with AI observability and evaluation tooling such as LangSmith or Gemini ADK.
• Experience with BI platforms that include a semantic layer Omni or similar).
• Prior use of Claude Enterprise or similar AI platforms in an enterprise context.
• Experience enabling self-serve analytics at scale across a non-technical user base.