Program Manager, Measurement & Experimentation, PMC & IE GBM - GBS

Responsibilities

• Build a Connected Measurement Architecture
• Develop scalable measurement frameworks to evaluate the business impact of product knowledge, education, and enablement initiatives across the customer journey.
• Define standardized metrics, event taxonomies, and measurement requirements across reach, engagement, learning, activation, product adoption, and commercial outcomes.
• Partner with Data Science, Data Engineering, and Analytics teams to integrate data across systems, improve measurement capabilities, and connect customer engagement to downstream business outcomes.
• Connect Engagement to Business Outcomes
• Develop measurement frameworks that connect customer and seller engagement to measurable behavioral and business outcomes beyond traditional engagement metrics.
• Define leading and lagging indicators to assess the impact of knowledge and education initiatives on activation, product adoption, retention, expansion, and revenue.
• Establish attribution and measurement approaches to evaluate the effectiveness and business contribution of educational experiences and platforms, such as TikTok Academy and Business Help Center.
• Build an Experimentation Capability
• Establish scalable experimentation standards and playbooks across knowledge, education, and customer enablement programs.

Requirements

• 5+ years of experience in measurement strategy, marketing or product analytics, experimentation, data strategy, or program management within technology or digital businesses.
• Proven ability to develop measurement frameworks that connect engagement, funnel, and lifecycle metrics to customer behavior and business outcomes across acquisition, activation, adoption, retention, and growth.
• Strong analytical and technical acumen, with experience translating business objectives into data requirements, KPIs, hypotheses, and actionable analytical approaches.
• Demonstrated experience partnering with Data Science, Data Engineering, and Analytics teams to build scalable datasets, dashboards, reporting solutions, and measurement systems that drive strategic decision-making.
• Working knowledge of experimentation methodologies, including A/B testing, control groups, statistical significance, and measurement design, supported by strong problem-solving skills.
• Proven ability to lead complex cross-functional initiatives, influence stakeholders, and communicate complex analytical concepts effectively to both technical and business audiences in ambiguous, fast-paced environments.