JPMorgan Consumer Data Analytics - Visualization Director 

United States, Ohio 

313088430

Key Responsibilities:

• Engage with senior leaders and key stakeholders to understand business needs and develop a comprehensive product roadmap
• Set clear objectives and key results to define priorities and success measures, leveraging a strong understanding of business, financial data, and technologies to make informed decisions that guide the team's direction.
• Hire, mentor, and motivate a highly skilled cross-functional team to ensure optimal performance, in order to 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 and collaborate with Technology, Analytics, and Finance Teams to build an efficient infrastructure for dashboard development, ensuring robust controls.
• 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.
• 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.

Qualifications:

• Bachelor’s degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas; Minimum of 10 years’ experience working with data analytics projects, preferably related to the financial services domain.
• Minimum 8 years’ experience developing advanced data visualizations and presentations
• 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.
• Focus on controls and risk management, ensuring accurate results and flexibility to adapt to changing control requirements.

Preferred Qualifications:

• 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.
• Experience with Tableau