Special Projects Lead, Business Strategy & Operations
Lead strategic analytics and operations initiatives for OpenAI's Global GTM Data Science and AI Solutions team. Partner with GTM leadership and RevOps to drive AI-powered commercial outcomes through performance reporting, competitive intelligence, and cross-functional execution.
Responsibilities
- Lead high-priority strategic analytics initiatives across Global GTM Data Science and AI Solutions, from problem definition through execution.
- Build and scale competitive intelligence capabilities to inform GTM strategy, product positioning, and commercial opportunities.
- Own business performance updates for GTM leadership, including executive-ready metrics, insights, and narratives for operating reviews.
- Translate complex data science and AI capabilities into clear recommendations and practical workflows for business teams.
- Create enablement materials that help sales and GTM teams adopt new data-driven tools and AI solutions.
- Define scalable operating rhythms, business review cadences, and processes that improve decision-making and execution.
- Partner closely with RevOps, Data Science, and GTM leadership to align strategic priorities and ensure initiatives drive measurable business impact.
- Drive clarity on ambiguous problems and structure decisions in fast-moving, high-priority contexts.
Requirements
- 8+ years of experience in strategy, business operations, or consulting roles, ideally in high-growth technology environments.
- Background in top-tier strategy consulting (e.g., McKinsey, BCG, Bain) or similar experience leading complex strategic initiatives.
- Strong understanding of business performance management, commercial metrics, and executive reporting.
- Experience partnering closely with sales, RevOps, business operations, or go-to-market leadership teams.
- Excellent problem-structuring and market intelligence skills, with the ability to synthesize multiple signals into clear recommendations.
- Comfort working at the intersection of technical and business teams, translating analytical insights into operational impact.
- Familiarity with AI tools and workflows, and the ability to quickly understand new technologies and apply them to business problems.
- Working knowledge of SQL or Python sufficient to QA analytical outputs or AI-generated code.
- Exceptional communication skills, including experience preparing executive-level updates for senior leadership.
- Strong cross-functional leadership and influence without direct authority.
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