Come join our Marketing Analytics team and help JPMorgan continue to grow!

As a member of the JPM Private Client Data & Analytics this Vice President, Marketing Analytics Data Scientist Lead will be responsible for managing and supporting the JPM Private Client Marketing campaign management lifecycle with targeting, sizing, business case support, modeling support, list execution support, reporting, test design building and reading, financial assessments, forecasting and overall campaign analysis (focusing on acquisition volume and quality). This position will work directly with our clients on the design, development, implementation and tracking of their strategic marketing campaigns from a data & analytics perspective. The successful candidate will be analytically/technically strong, will have great communications skills, and a collaborative and resourceful style.

Job Responsibilities

• Lead the analytical optimization of marketing programs throughout the marketing lifecycle; opportunity, targeting, testing, reporting and insights analytics
• Build strong relationships with our clients, own the book of work and delivery approach, advise on strategies and experimentation to achieve business goals
• Leverage suite of evolving analytics tools, including migration to the Cloud and next generation analytical applications
• Collaborate across data & analytics functions (Modeling, Execution and Centers of Excellence)
• Advocate for specific data needed to monitor performance, targeting and execution, and other analytical support for business goals 
• Maintain, improve, and assess processes and controls in support of business results
• Coach and lead junior team members in campaign analysis methods and approaches.

Required Qualifications, capabilities, and skills

• 6 years of related Marketing Analytics experience
• Masters or PhD in a related field, or bachelor’s with 5 years' experience in a related discipline
• Strong written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior business leaders
• Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms, and data structures with an ability to influence both internal & external business partners
• Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis)
• Tangible experience with business strategy and tactical implementation
• Proficiency in data analysis languages such as Python, SAS, R, etc.
• Proficiency in general purpose languages such as Java, C , Scala, etc.

Preferred Qualifications, capabilities, and skills

• Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
• Experience in relational databases including proficiency in SQL 
• Strong analytics, interpretive and problem-solving skills
• Technical understanding of data extraction, transformation, and load processing
• Experience with dynamic and interactive reporting applications (i.e., Tableau)
• Consulting orientation ability to influence both internal & external business partners