Data Visualization Manager, VP

As a Vice President, Data Visualization Manager within Sales 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 dashboards-from 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


* Own end-to-end development of business intelligence dashboards, including data preparation, testing, publishing, and ongoing enhancements using Tableau, SQL, and Alteryx


* Define and document key performance indicators, business rules, and metric logic to ensure consistent interpretation across stakeholders


* Build executive-ready, user-friendly dashboards that prioritize clarity, performance, accessibility, and actionability


* Deliver ad-hoc analyses with strong synthesis, converting ambiguous questions into structured analyses and recommendations


* Partner with data engineering and analytics teams to productionize reusable datasets and self-service data products


* Query and integrate customer relationship management data (including Salesforce where applicable) with other sources to create decision-ready datasets


* Implement automation for recurring reporting processes, quality checks, refresh monitoring, and alerting to reduce manual effort


* Apply responsible AI practices to enhance analytics workflows (for example, AI-assisted drafting of queries or narratives with human review and validation)


* Coach and support junior analysts by establishing standards, templates, and review practices to improve quality and throughput


* Manage work plans, timelines, and stakeholder communication across a prioritized reporting backlog


* Present insights through clear storytelling tailored to audiences ranging from frontline partners to senior executives

Requir...