Director, Data & AI Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director, Data & AI Platform (AI): Leading the foundation of data infrastructure, semantic layers, and internal AI tooling to power insights and automation with an accent on AI-ready infrastructure and cross-functional engineering leadership. Focus on building scalable AI workspaces, managing multi-disciplinary teams, and translating technical platform decisions into measurable business outcomes.
Location: Based in Raleigh, NC (Hybrid: in-office 3 days per week)
Salary: $187,000 - $230,000 (NC) / $200,000 - $245,000 (NY)
Company
is a fast-growing product company that provides tools for product managers to understand and drive product success.
What you will do
- Lead organizational strategy and execution for the data and AI platform, establishing prioritization frameworks and delivery accountability.
- Build and ship AI-ready infrastructure, including governed connectors, a skills library, and evaluation infrastructure.
- Own 's internal AI platform, creating a workspace where employees can contribute and use AI skills and workflows.
- Manage staffing and roadmap alignment across data engineering, analytics engineering, BI, and software engineering.
- Partner with Applied AI, IT, and GTM Operations to build technical foundations ahead of business requirements.
- Translate technical decisions into business impact and measurable outcomes for leadership.
Requirements
- Must be based in Raleigh, NC to support the hybrid in-office model.
- 8+ years in data or engineering roles with demonstrated people leadership experience.
- Strong command of data architecture, BI platforms, and modern data stacks.
- Experience building internal platforms with an emphasis on governance and operational trust.
- Ability to lead across blended disciplines: data, analytics, and software engineering.
- Track record of owning company-critical metrics and semantic layers.
Nice to have
- Hands-on experience with dbt, Fivetran, or BigQuery.
- Familiarity with AI observability and evaluation tools like LangSmith or Gemini ADK.
- Experience with BI platforms featuring a semantic layer (e.g., Omni).
- Prior use of Claude Enterprise in an enterprise context.
Culture & Benefits
- Employer-heavy health coverage, including $0 premium options.
- Strong 401(k) match and equity.
- Flexible time off.
- Hybrid work culture with a focus on collaboration (3 days in-office).
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