Data Visualization Manager

Are you a skilled data professional with a passion for transforming raw data into actionable insights and a proven track record of learning and implementing new technologies? The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across CCB. Our vision is to enhance the lives of our people and increase the firm's value by leveraging data and advanced tools to analyze information, generate insights, save time, improve processes and controls, and lead the organization in developing future-ready skills.

As an Data Visualization Manager within the Consumer and Community Banking Line of business, you will play a key leadership role in understanding stakeholder business needs, and setting priorities for the development team while interacting with senior leaders across the organization. You will be accountable for delivering key metrics to provide insights and enable consumer self-service. This includes leading the team's development of interactive, high-impact dashboards and data wrangling efforts using tools such as Alteryx. Your ability and passion for thinking beyond raw and disparate data will guide the team in creating data visualizations and intelligence solutions utilized by the organization's top leaders to achieve key strategic imperatives. You will help identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx, Tableau, and/or ThoughtSpot to bring automated solutions to life.

Job Responsibilities:

• Engage with senior leaders and key stakeholders to understand business needs.
•  Demonstrate a strong understanding of business, financial data, and technologies to make informed decisions that provide analytical insights to stakeholders.
• Prioritize development activities to maximize value delivery and lead data-driven analyses to support business objectives. Foster creativity and ingenuity to transform data interpretation and understanding.
• Collaborate with Technology, Analytics, and Finance Teams to build an efficient infrastructure for dashboard development, ensuring robust controls. Strategically source data from various information channels, track development and deployment timelines, and support the transition of production activities to Technology for newly developed dashboards.
• Direct the team in intelligence solution requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution steps.
• Ensure thorough control testing of each component of the intelligence solution, providing evidence that all data and visualizations are delivering accurate insights and evidence in the control process.

Required Qualifications, Skills and Capabilities:

• Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas.
• Minimum of 5 years' experience working with data analytics projects, related to the financial services domain.
• Minimum 5 years' experience developing advanced data visualizations and presentations, with Tableau.
• Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python.
• Experience with relational databases, optimizing SQL to pull and summarize large datasets, report creation, and ad-hoc analyses.
• Experience in reporting development and testing, with the ability to interpret unstructured data and draw objective inferences given known limitations of the data.
• Demonstrated ability to think beyond raw data and understand the underlying business context, identifying business opportunities hidden in data.
• Strong written and oral communication skills, with the ability to communicate effectively with all levels of management and partners from various business functions.
• Focus on controls and risk management, ensuring accurate results and flexibility to adapt to changing control requirements.

Preferred Qualifications, Skills and Capabilities:

• Experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse platforms.
• Experience with Hive, SQL, Python, or other big-data query tools.
• Experience with ThoughtSpot or similar AI tools that empower stakeholders to self-serve and generate their own insights.
• Highly motivated, self-directed, and curious to learn new technologies.