Manager of Data Enablement, Okta

• 5+ years of experience in data engineering, analytics, or BI, with a clear track record of shipping complex data products
• 2+ years of people management experience, specifically leading technical teams in a fast-paced environment
• Proficiency with SQL and modern data stack technologies (e.g., dbt, Snowflake, Airflow)
• Experience with data visualization platforms (Looker, Tableau) and semantic modeling
• BS in Computer Science, Engineering, Mathematics, or a related technical field

Desirable

• We are looking for a manager to lead our Data Enablement team, which owns the "last mile" of our data stack
• You will drive the creation of curated data marts, semantic definitions, and visualization strategies that turn raw telemetry and business data into usable insights
• You will manage our analytics assets like a portfolio of products where success is defined by adoption, trust, and the speed of decision-making
• Beyond the technical execution, you will be a trusted advisor to Product and Engineering leadership
• We are seeking someone who proactively shapes the questions we ask, ensuring our data strategy solves actual business problems rather than just fulfilling requests
• You will lead a team of analytics engineers and analysts, guiding them away from reactive support work toward full ownership of our data ecosystem
• This is a pivotal role where you will set the standard for how Auth0 uses data to drive decision-making
• Lead the delivery of trusted data products and semantic models that serve as the source of truth for the company
• Mentor and develop a talented team of data professionals while fostering a culture of ownership and technical excellence
• Partner with Product and Engineering leadership to define measurement strategies that align with business goals
• Translate ambiguous business problems into executable engineering roadmaps and technical specs, ensuring the team has a clear path to delivery
• Oversee the architecture and governance of our BI environment, ensuring scalability and trust in our data
• Go beyond reporting to drive product accountability, using forecasting and metric monitoring to surface trends and strategic opportunities
• Collaborate with cross-functional partners to identify gaps in our data collection and drive instrumentation improvements upstream
• Drive the integration of AI and LLM-based tooling to improve the user experience for data consumers and reduce time-to-insight