Marketing Analytics Data Scientist Vice President

JPMorganChase; New York (NY); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

JPMorganChase is seeking a Vice President of Marketing Analytics Data Science to lead analytics and AI roadmaps for marketing analytics and decisioning within Consumer and Community Banking. You will partner with marketing, product, data, technology, risk, legal, and compliance to deliver scalable, governed, and measurable solutions from end to end.

You will drive the full lifecycle, from prototyping to production, ensuring reproducibility, governance, and strong model risk controls while

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• 2+ years of demonstrated coaching and mentoring experience.
• 5+ years of experience in data science, machine learning, or applied AI with a track record of production solutions.
• Hands-on experience designing machine learning and generative AI solutions, including orchestration concepts for agent-based workflows.
• Proven ability to lead technical teams and deliver across complex stakeholder environments.
• Strong written and verbal communication skills to influence senior leaders with measurable results.
• Marketing analytics experience, including targeting, lifecycle programs, or performance measurement.

Responsabilités

• Own the end-to-end delivery of the analytics and AI product roadmap for marketing analytics, including prioritization, sequencing, resourcing, and dependency management.
• Identify and shape high-impact use cases such as next best action, audience selection, lifecycle optimization, content intelligence, and measurement automation.
• Translate marketing and analytics needs into scalable technical solutions aligned to enterprise data and platform standards.
• Lead solution design and technical direction for machine learning, generative AI (retrieval-augmented generation and fine-tuning when appropriate), and agent-based workflow patterns.
• Drive engineering and data science execution across the full solution lifecycle, from prototyping to production deployment, monitoring, and optimization.
• Establish team best practices for reproducibility, documentation, code quality, and model governance.
• Develop and operationalize models for propensity, churn and retention, uplift and causal impact, segmentation, channel optimization, and experimentation.
• Build measurement frameworks that connect solutions to marketing outcomes such as incrementality, conversion, retention, engagement, and operational efficiency.
• Ensure solutions meet firm standards for model risk management, data privacy, security, fairness testing, explainability, and auditability.

Connaissances

Data science / ML

Coaching & mentoring

Team leadership

Communication skills

Marketing analytics

Software eng cert

Generative AI design

Description du poste

Job Description

Bring your strategic thinking and deep analytics expertise to a role where your work shapes how we deliver more relevant, responsible, and measurable marketing. You will help translate business opportunities into scalable analytics and artificial intelligence solutions, partnering across teams to move ideas into production and drive real outcomes.

Bring your strategic thinking and deep analytics expertise to a role where your work shapes how we deliver more relevant, responsible, and measurable marketing. You will help translate business opportunities into scalable analytics and artificial intelligence solutions, partnering across teams to move ideas into production and drive real outcomes.

As a Vice President, Marketing Analytics Data Science at JPMorganChase within Consumer and Community Banking, you will lead the analytics and artificial intelligence roadmap for marketing analytics and decisioning. You will partner closely with marketing, product, data, technology, risk, legal, and compliance to deliver solutions that are scalable, well-governed, and measurable from end to end.

Job Responsibilities

• Own the end-to-end delivery of the analytics and artificial intelligence product roadmap for marketing analytics, including prioritization, sequencing, resourcing, and dependency management


• Identify and shape high-impact use cases such as next best action, audience selection, lifecycle optimization, content intelligence, and measurement automation


• Translate marketing and analytics needs into scalable technical solutions aligned to enterprise data and platform standards


• Lead solution design and technical direction for machine learning, generative artificial intelligence (including retrieval-augmented generation and fine-tuning when appropriate), and agent-based workflow patterns


• Drive engineering and data science execution across the full solution lifecycle, from prototyping to production deployment, monitoring, and optimization


• Establish team best practices for reproducibility, documentation, code quality, and model governance


• Develop and operationalize models for propensity, churn and retention, uplift and causal impact, segmentation, channel optimization, and experimentation


• Build measurement frameworks that connect solutions to marketing outcomes such as incrementality, conversion, retention, engagement, and operational efficiency


• Ensure solutions meet firm standards for model risk management, data privacy, security, fairness testing, explainability, and auditability

Required Qualifications, Capabilities And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• 2+ years of demonstrated coaching and mentoring experience


• 5+ years of experience in data science, machine learning, or applied artificial intelligence, with a track record of delivering production solutions


• Hands-on experience designing machine learning and generative artificial intelligence solutions, including orchestration concepts for agent-based workflows


• Proven ability to lead technical teams and deliver across complex stakeholder environments


• Strong written and verbal communication skills with the ability to influence senior leaders using clear narratives and measurable results


• Marketing analytics experience, including applying analytics to targeting, lifecycle programs, or performance measurement

Preferred Qualifications, Capabilities And Skills

• Experience in financial services or other highly regulated environments with demonstrated control discipline


• Deep understanding of marketing measurement and experimentation, including A/B testing, incrementality, and causal inference


• Experience integrating analytics and artificial intelligence into marketing execution and decisioning platforms (for example, audience selection, journey orchestration, and outbound channels)


• Experience building attribution or marketing mix measurement support capabilities in partnership with measurement teams

ABOUT US

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. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.