Partner Business Intelligence

About the Role

The ideal candidate for this role will have a deep understanding of analytics engineering, business intelligence, and data modeling, as well as experience working with executive stakeholders to drive business decisions. You will be responsible for building and maintaining the canonical Partnerships data model, establishing data governance standards, and creating scalable frameworks to support evolving partner motions and business models.

The Partner Business Intelligence team sits at the center of Openai's efforts to build a global ecosystem of strategic partners that accelerate AI adoption and expand customer impact. As the company continues to grow and scale its partner ecosystem, the accuracy and integrity of its attribution framework will become increasingly important, with hundreds of millions of dollars in partner incentives and strategic investments hanging in the balance.

What You Will Do

• Design and maintain the canonical Partnerships data model across partners, opportunities, customers, revenue, incentives, competencies, activities, and performance metrics
• Establish the authoritative source of truth for partner-sourced, partner-influenced, co-sell, marketplace, and ecosystem-driven business
• Define data governance standards, metric definitions, and reporting methodologies across the Partnerships organization
• Create scalable frameworks that support evolving partner motions, business models, and incentive structures
• Develop attribution methodologies and performance infrastructure to measure partner contribution throughout the customer lifecycle
• Build auditable frameworks for determining partner influence, sourcing, acceleration, and value creation
• Partner closely with Finance, Revenue Operations, and Partnerships leadership to ensure attribution methodologies are trusted, scalable, and financially defensible
• Develop the measurement systems that underpin partner incentive programs and financial payouts
• Create scalable processes for incentive calculation, validation, reconciliation, and reporting

What We Are Looking For

• 5+ years of experience in analytics engineering, business intelligence, or a related field
• Deep expertise in data modeling, data governance, and data quality
• Strong understanding of attribution methodologies and performance metrics
• Experience working with executive stakeholders to drive business decisions
• Ability to communicate complex data insights to non-technical stakeholders
• Strong technical skills, including proficiency in languages such as Python, SQL, and data visualization tools
• Experience working with cloud-based data platforms and tools such as AWS, GCP, or Azure
• Strong collaboration and project management skills, with the ability to work effectively with cross-functional teams

Nice to Have

• Experience working in the tech or AI industry
• Familiarity with Openai's products and services
• Certification in data science, analytics, or a related field
• Experience working with machine learning or AI technologies

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO and remote work options
• Access to cutting-edge technologies and tools
• Opportunities for professional development and growth
• Collaborative and dynamic work environment
• Recognition and reward for outstanding performance
• Access to Openai's network of partners and industry leaders

• To stand out in this role, be prepared to demonstrate your technical expertise in analytics engineering and business intelligence, as well as your ability to communicate complex data insights to non-technical stakeholders.
• Make sure to highlight your experience working with executive stakeholders and driving business decisions with data-driven insights.
• Familiarize yourself with Openai's products and services, as well as the company's commitment to building safe and responsible AI.
• Be prepared to discuss your experience working with cloud-based data platforms and tools, as well as your proficiency in languages such as Python, SQL, and data visualization tools.
• Consider creating a portfolio that showcases your work in data modeling, data governance, and data quality, as well as your ability to communicate complex data insights to non-technical stakeholders.
• When negotiating salary, be sure to research the market rate for similar roles and highlight your unique qualifications and experience.
• Be wary of red flags such as unclear expectations, lack of resources, or unrealistic deadlines, and be prepared to ask tough questions during the interview process.