Data Visualization Lead for the International Private Bank

JPMorgan Chase & Co. is a global leader in financial services excelling in investment banking consumer and small business services and asset management. Within its Asset & Wealth Management Division the Business Intelligence Team leverages data to enhance sales productivity and business strategies. The Data Visualization Lead will play a crucial role reporting to the Head of Business Intelligence for the International Private Bank.

As the Data Visualization Lead within the Business Intelligence Team you will shape and execute the visualization and dashboard automation roadmap overseeing the process from strategy through delivery.

The Data Visualization Lead will report to the Head of Business Intelligence for the International Private this role you will shape and execute the visualization and dashboard automation roadmap overseeing the process from strategy through delivery. Your mission is to convert priority use cases (client deepening/acquisition AUM/flows & revenue marketing effectiveness etc.) into a coherent suite of automated reliable and scalable dashboards. You will create engaging UI analytic experiences and modern web frameworks to enhance discovery search and contextual insights within dashboards and web applications. You will establish and uphold visual standards accessibility and design principles data quality SLAs and data alignment. You will benchmark our approach against industry best practices ensuring solutions meet regulatory expectations and commercial needs. Partnering with Marketing and Front Office you will steer a quarterly roadmap prioritize value track OKRs and coach analysts to raise the bar on storytelling and decision impact.

Job Responsibilities

• Build and maintain automated dashboard solutions that deliver real-time or near real-time data insights.
• Implement scheduling and alert systems to ensure timely delivery of critical business metrics.
• Optimize dashboard performance scalability and user experience through continuous monitoring and improvement.
• Pilot and deploy new BI tools evaluating their fit for business needs and integration with existing systems.
• Create compelling visual narratives that effectively communicate complex data insights to both technical and non-technical stakeholders
• Establish and govern visualization standards best practices and style guides to ensure consistency across all reporting outputs
• Collaborate with business stakeholders to understand reporting requirements and translate them into effective visualization solutions.
• Perform exploratory and diagnostic analysis to identify trends patterns and anomalies that drive business value.
• Safeguard data accuracy and integrity across all visual outputs with validation checks and reconciliations.

Required qualifications capabilities and skills

• Bachelors degree in Data Science Computer Science Statistics Mathematics or related field
• Experience in building enterprise dashboards business intelligence solutions and/or analytics in large organizations
• Advanced proficiency in SQL and Python for data extraction manipulation and analysis as well as data visualization tools such as Tableau Sigma ThoughtSpot or similar visualization platforms
• Design and develop interactive dashboards reports and data visualizations using industry-leading tools such as Tableau ThoughtSpot or similar platforms
• Provide technical support and training to end-users champion adoption through demos office hours and playbooks.
• Implement robust row-level security and access controls to protect sensitive information.
• Strong data storytelling & UX (chart selection accessibility labelling and consistent layout)
• Partner with data scientists to operationalize advanced analytics and machine learning models in dashboards.
• Integrate multiple data sources with secure well-documented data models.

Preferred Qualifications

• Masters degree in Analytics Statistics Data Science or related field
• Previous experience in financial services industry and/or wealth management a plus
• Knowledge of advanced analytics techniques (e.g. machine learning and predictive modeling) and how to operationalize them in dashboards
• Familiarity with cloud-based analytics platforms (AWS Azure Google Cloud)