• Data Model Development: Craft and maintain scalable, efficient, and performance-optimized data models to power business applications and analytics. • Platform Optimization: Enhance our data platform with best practices for improved performance, consistency, and accuracy. • Technology Adoption: Champion the latest data technologies and methodologies, staying ahead of industry trends to elevate team productivity and platform functionality. • Problem-Solving: Proactively address data challenges to boost business outcomes, using data-driven insights. • Collaboration: Work closely with multiple technical and stakeholder teams, leveraging data to drive strategic decisions and foster a culture of data-driven excellence.

• Build and maintain data pipelines from key business systems • Design ELT workflows to ingest, normalize, and transform data • Architect, build, and implement a centralized data warehouse • Develop dashboards, operational monitors, and recurring analytics • Develop early predictive and prescriptive models • Work closely with business stakeholders to understand requirements

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Sr. Manager, Measurement is a strategic leader responsible for developing and governing the enterprise measurement framework across digital and omnichannel initiatives. This role ensures that senior leaders have access to actionable insights connecting customer, distributor, and business behaviors to outcomes. The Sr. Manager partners across global markets, product, marketing, and technology to build measurement strategy, optimize performance reporting, and demonstrate the business impact of digital investments. - Lead the building and evolution of the enterprise measurement framework across websites, apps, campaigns, and commerce experiences. - Translate complex data into clear, executive-ready narratives that demonstrate digital impact on revenue, engagement, retention, and distributor success. - Drive consistency and rigor in KPI design across teams, distinguishing between adoption, engagement, impact, and scale readiness metrics. - Partner with Technology and Data Engineering teams to ensure accurate tagging, clean data pipelines, and scalable measurement infrastructure. - Leverage advanced analytics tools (Adobe Analytics, Snowflake, Power BI) and programming languages (SQL, Python, R, DAX) to build attribution models, optimize conversion tracking, and deliver business-ready insights. - Collaborate with Marketing Technology teams to improve instrumentation, governance, and cross-platform integration. - Manage and mentor a team of analysts, encouraging development in analytical craftsmanship, business insight, and data storytelling. - Champion automation, visualization, and data governance to accelerate decision-making and increase confidence in digital reporting. Qualifications - 8+ years of experience in digital analytics, measurement, or insights with at least 2 years leading teams. - Expertise in Adobe Analytics (Workspace, Report Builder, Data Warehouse, Target, Experience Manager). - Advanced technical proficiency in SQL, Snowflake (preferred), Power BI, Databricks, and Python or R. - Demonstrated ability to influence executives with data-driven recommendations. - Proven record of building scalable, enterprise-level measurement frameworks. - Excellent leadership, communication, and cross-functional partnership skills. - Strong storytelling ability to translate data into strategic clarity for senior audiences. Requirements - Bachelor’s degree required; advanced degree (MBA or related field) preferred. Benefits - Group Health Programs including Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D, Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). - Other Voluntary Benefit Programs including a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. - Paid time off including Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave, and time off for voting.

• Partner directly with our cross-functional stakeholders on data, metrics & analytics initiatives • Proactively identify and perform data exploration and deep dives to influence future product directions • Develop and validate the appropriate metrics to measure success in the identity space • Improve foundational data models while designing, owning, and implementing analytical layers and visualizations for scalable analytics • Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis • Contribute to the excellence of the Netflix analytics engineering community