Data Visualization Manager, VP

As aVice President Data Visualization ManagerwithinSales Science you will translate sales service and marketing data into business intelligence reporting that supports branch leadership. You will own end-to-end delivery of dashboardsfrom data preparation and metric definition to visualization design and release readiness. You will partner with analytics engineering and business stakeholders to build scalable self-service reporting that drives action. You will balance speed and rigor ensuring outputs are accurate explainable and easy to use. You will raise the bar on storytelling user experience and operational excellence across the reporting portfolio.

This team supports leaders across Community Banking and Wealth Management by measuring program performance and identifying opportunities to improve banker and advisor outcomes. Your work will focus on branch-facing programs and frontline performance drivers with reporting used by audiences ranging from analysts to senior executives. You will help standardize key performance indicators reduce manual reporting effort and improve how insights are communicated. As AI capabilities evolve you will identify practical use cases (for example faster analysis drafting and clearer dashboard narratives) and implement them with appropriate validation and governance. Success means trusted metrics fast cycle times and dashboards that consistently lead to decisions.

Job responsibilities

• Ownend-to-end development of business intelligence dashboards including data preparation testing publishing and ongoing enhancements using Tableau SQL and Alteryx
• Defineand document key performance indicators business rules and metric logic to ensure consistent interpretation across stakeholders
• Buildexecutive-ready user-friendly dashboards that prioritize clarity performance accessibility and actionability
• Deliverad-hoc analyses with strong synthesis converting ambiguous questions into structured analyses and recommendations
• Partnerwith data engineering and analytics teams to productionize reusable datasets and self-service data products
• Queryand integrate customer relationship management data (including Salesforce where applicable) with other sources to create decision-ready datasets
• Implementautomation for recurring reporting processes quality checks refresh monitoring and alerting to reduce manual effort
• Applyresponsible AI practices to enhance analytics workflows (for example AI-assisted drafting of queries or narratives with human review and validation)
• Coachand support junior analysts by establishing standards templates and review practices to improve quality and throughput
• Managework plans timelines and stakeholder communication across a prioritized reporting backlog
• Presentinsights through clear storytelling tailored to audiences ranging from frontline partners to senior executives

Required qualifications capabilities and skills

• 6 yearsof experience delivering analytics reporting or data management work in sales marketing customer analytics CRM or financial services
• 4 yearsof experience building advanced Tableau dashboards (including calculated fields parameters and performance optimization)
• 3 yearsof experience writing and optimizing SQL for large datasets and recurring reporting use cases
• Experience preparing and transforming data using an ETL or wrangling tool (for example Alteryx Python or R)
• Experience designing dashboards with strong user experience principles (clear hierarchy intuitive navigation and actionable callouts)
• Experience partnering with cross-functional teams (analytics engineering product and business stakeholders) to deliver reporting solutions
• Demonstrated ability to translate business questions into measurable metrics and structured analyses
• Strong written and verbal communication skills including experience presenting insights to senior stakeholders
• Experience managing multiple deliverables with timelines dependencies and milestone-based execution

Preferred qualifications capabilities and skills

• Experience using Salesforce data for analytics and reporting (including blending with other enterprise data sources)
• Tableau certification and/or a portfolio demonstrating dashboard design and storytelling ability
• Experience with modern MPP databases and large-scale data concepts (for example Teradata Greenplum Snowflake Databricks or Hadoop ecosystems)
• Experience building or leveraging a semantic layer metric store or enterprise metric dictionary
• Experience applying responsible AI or generative AI tools to analytics workflows with documented validation and controls
• Experience with statistical or machine learning techniques for exploratory analysis or performance driver identification