Data Visualization Manager

What you'll do

• Design and deliver executive-grade dashboards and narratives using ThoughtSpot, Databricks, and Tableau.
• Build AI-enabled conversational analytics tools to allow leaders to query data in natural language.
• Translate complex leadership questions into governed data products and high-performing user experiences.
• Manage the full product lifecycle including roadmap planning, backlog prioritization, and value delivery.
• Partner with Data Engineering to ensure data quality, lineage, and scalable architecture for finance metrics.
• Implement security controls and privacy-by-design standards within a regulated environment.
• Drive user adoption through training, documentation, and measurable usage tracking.
• Establish technical standards and mentor analysts through structured coaching and peer reviews.

What we're looking for

• Experience delivering data solutions and analytics for Finance stakeholders.
• Demonstrated production delivery in Tableau and/or ThoughtSpot, including dashboard design and metric architecture.
• Hands-on experience with the Databricks platform, including technical design discussions on semantic modeling and performance.
• Advanced SQL skills and the ability to validate datasets and logic end-to-end.
• Demonstrated ability to translate business questions into analytical products, including requirements definition and acceptance criteria.
• Experience building and maintaining a backlog independently based on stakeholder needs.
• Demonstrated experience setting quality standards and mentoring analysts.
• Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting.
• Experience building or product-managing conversational analytics or natural-language query experiences (preferred).
• Experience with Databricks Genie and/or ThoughtSpot Spotter to enable governed self-service (preferred).
• Proficiency with Alteryx for workflow automation and repeatable data preparation (preferred).
• Finance domain knowledge (preferred).
• Experience establishing analytics governance, such as metric-definition standards, release management, and adoption measurement (preferred).
• Familiarity with model risk management and artificial-intelligence governance in regulated environments (preferred).
• Prior formal people-management experience (hiring, performance management, and team development) (preferred).