Description
The Manager, Data Visualization will lead BI initiatives, ensuring governance, and driving advanced analytics strategies. This role requires expertise in data visualization, automation, stakeholder management, and people leadership. The candidate is expected to oversee BI projects, manage reporting frameworks, implement governance processes, mentor teams, and enhance business impact through data-driven decision-making. AI is front and center in this role: the successful candidate will use AI-native BI tooling, connect dashboards directly to the data engineering team’s AI and GenAI pipeline outputs, implement automated anomaly detection, and enable prompt-driven self-service reporting so views update at pace without manual intervention.
The ideal candidate will have a Bachelor's degree in Engineering, Computer Science, Business Analytics, Data Science, or a related field, with 4-7 years of experience in BI, data analytics, or data visualization. They should have expertise in at least two BI tools: Datorama, Looker Studio, Tableau, or Power BI. Strong knowledge of SQL for querying and data manipulation is also required. Excellent problem-solving skills with a strategic mindset, experience in implementing data governance frameworks and best practices, and demonstrated experience using AI-native BI features are essential.
The Manager, Data Visualization will be responsible for defining and implementing BI strategy to align with business objectives, establishing governance frameworks for data integrity, security, and standardization, developing and enforcing best practices for data visualization, automation, and self-service reporting, and ensuring compliance with data policies and regulatory requirements. They will also oversee the development and optimization of dashboards using Datorama, Looker Studio, Tableau, or Power BI, lead initiatives to automate reporting processes and improve data efficiency, standardize reporting templates to drive consistency and accuracy across business units, evaluate emerging BI tools and technologies for continuous improvements, and deploy AI-native BI features to automate dashboard generation, view refresh, and standardized reporting aligned with the data engineering team.