JPMorgan Data Management - Vice President 

United States, New Jersey, Jersey City 

241857878

As a Data Management Lead within the JPMorgan Planning and Analysis (P&A) organization, you will be building and managing our data platform to provide our P&A stakeholders with a one stop shop for all their data needs. You will own the delivery of platform features and delivery of data on the platform with a focus on client experience. You will work with our P&A stakeholders to gather data requirements, translate that into actionable stories and partner with Technology team to deliver the same.

Job responsibilities

• Working with Technology and Business stakeholders to onboard and manage data sets from strategic sources to support financial forecasting and reporting
• Streamline data sourcing, transformation, calculation, accuracy assessment and reporting of financial data sets
• Partnering with Technology to modernize our data platform - includes building foundational capabilities to support data quality & governance, data process management, data distribution, data analysis & testing, etc.
• Analyzing, evaluating, and challenging both the current and future state business processes and architecture to identify areas of opportunity for improvement / automation around the forecast data processes
• Working with internal stakeholders to understand their data and process requirements and deliver data services in a timely manner
• Executing within a fast-paced environment and leveraging the Agile framework
• Leveraging various technologies and data analytics skills to analyze and test correctness of data assets as they get onboarded

Required qualifications, capabilities, and skills

• Bachelor’s degree in Accounting, Finance or a subject of a technical nature. Minimum 6 years of work experience, in technology, data management, product management and/or finance; within the financial services industry
• Proficient with data gathering, validating, manipulation, analytics, and problem-solving skills with the ability to present conclusions concisely
• Experience working on Cloud based Big-data implementation platforms and projects. Strong understating of data quality, governance, ETL, data management, and related topics
• Familiar with financial concepts and various financial calculations leveraged to deliver complete / accurate financial results and business insights
• Strong verbal and written communication skills, with the ability to articulate complex issues clearly. Highly motivated with a proven track record for executing on large to small programs, often under pressure given short lead times or with little information / direction
• Inquisitive, enthusiastic and diligent team player with the ability to challenge, while at the same time remaining a respected as a trusted partner for the Planning and Analysis and Technology teams
• Highly motivated self-starter with excellent time management/prioritization skills. Ability to analyze data using SQL and/or other data analysis tools

Preferred qualifications, capabilities, and skills

• Data analytics using Python
• Experience in Cloud data platforms - Amazon Web Services products such as S3 and Redshift; Data Bricks
• Business Intelligence tools such as Tableau, Cognos and Alteryx
• Agile Principles and tools such as Confluence/JIRA
• Experience with other forecast aggregation tools such as Essbase