Job responsibilities
- Understands the vision for the WM Advisor & Investment Solutions Platforms strategy and create the data & analytics function to support their needs
- Develops and deploy analytics solutions on analytics data platform
- Develops and maintain data analytics systems and platform features for efficient analysis of large and complex financial data sets
- Establishes the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability
- Advances existing data ingestion frameworks to implement analytics and associated tools
- Designs and build data mesh features on the analytics data platform
- Migrates legacy analytics applications to Snowflake and AWS
- Partners with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
- Collaborates with the architecture teams on creating solutions to achieve aspects of the data strategy
- Ensures all risk management, legal, control, and compliance activities are done in line with JPMC standards in advance of product launch
- Designs and execute experiments (e.g., A/B testing, multi-armed bandit)
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience leading data integration, data management solutions in financial services
- Experience in agile software development environment
- Proficiency in data analysis, data profiling, data quality analysis
- Demonstrated ability to work in a highly matrixed program delivery structure
- Domain experience – experience in financial services industry, specifically Wealth Management
- Understanding of big data storage and processing technologies including Hadoop, Spark, Hbase/Cassandra, Phoenix, Spark, Pig and Hive
- Demonstrated ability to meet challenging growth metrics and client/partner development objectives, specifically for emerging businesses versus mature financial services products
- Knowledge of relational and non-relational database technologies, big data solutions, data science, and data mining
- Deep experience across the full range of database, data warehouse, data lake and business intelligence tools, Python and ability for rapid prototyping in Tableau, Qlik; publishing and presenting information in an engaging way.
- B.A. or B.S. required
Preferred qualifications, capabilities, and skills
- Experience using data visualization, dashboard, and reporting tools like Tableau, Qlik
- Experience working in a fast-paced and highly cross-functional organization
- Self-directed/self-motivated with a clear sense of ownership and a solution oriented approach
- Strong communication/presentation skills (i.e. creating content) that can be consumed at all seniority levels with both internal and external audiences.
- Ability to rapidly understand emerging technologies and business models and naturally see commercial opportunities.