Vice President, Marketing Analytics Data Scientist Lead
New York City, United States
JPMorgan Chase & Co.
Come join our Marketing Analytics team and help JPMorgan continue to grow!
As a Vice President, Marketing Analytics Data Scientist Lead within the JPM Private Client Data & Analytics team you 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
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Consulting Data analysis Hadoop Java PhD Python R RDBMS SAS Scala Snowflake Spark SQL Tableau Testing
Perks/benefits: Career development Competitive pay Health care Wellness
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