Marketing Data & Agentic AI Transformation Lead

Be the architect of tomorrow’s analytics solutions, leveraging cutting-edge technology to solve real-world problems at scale.

As a Decision Scientist Lead on Transformation Analytics with the Transformation Analytics Team, you will own the foundational data strategy for CSP-21 (Marketing Process Automation)—our program to modernize end-to-end marketing through Agentic AI, integrated tools, and automation. You will be accountable for how marketing data is designed, produced, governed, and used across data architecture, marketing execution, customer onboarding, and response analytics. 

Rather than running day-to-day campaign measurement, you will transform it—building AI-enabled, standardized, self-serve measurement and analytics that reduce manual effort, improve consistency, and scale across campaigns and channels. To be successful, you'll need to influence and impact a variety of functions including marketing analytics and execution, customer onboarding, data governance, data architecture, and design.

You will set and enforce data governance (standard definitions, quality controls, and lineage) so results are consistent and trusted. You will partner across Marketing, Product, Data, and Technology to deliver centralized, durable solutions that accelerate campaign delivery and optimization.
 

Job Responsibilities

• Lead end-to-end audience strategy and decision science by leveraging internal and external data to continuously refine targeting for Business Banking products and services.
• Drive analytics optimization across the full campaign lifecycle, including opportunity sizing, targeting strategy, test-and-learn design, onboarding, response analytics, performance measurement, and delivery of clear, actionable insights and recommendations.
• Own stakeholder engagement and operating cadence by managing the data portfolio, setting priorities, defining delivery plans, and providing strategic direction for decision science initiatives and experimentation.
• Partner with marketing, product, data, and technology leaders to define requirements, shape roadmaps, and build scalable foundational data solutions and prototypes that accelerate time-to-impact and improve operational efficiency.
• Serve as Strategic Data Owner Lead for critical CSP-21 marketing datasets and capabilities by:
  • Defining the scope of the data domain, identifying essential data elements, and maintaining precise business definitions and metadata (such as KPI and audience descriptions). 
  • Establishing and overseeing data quality standards—including completeness, accuracy, and timeliness—and implementing robust controls.
  • Managing data mapping and lineage documentation to ensure comprehensive traceability from upstream sources through all downstream transformations and outputs.
  • Inform Architecture and Design to cover all aspects of Marketing, Product and Sales life cycles including completing architectural diagrams for intake into platforms.
  • Conducting complex data discovery and research to inform sourcing decisions, ensuring the data's suitability for campaign deployment, measurement, and experimentation.
  • Developing foundational data prototypes designed to facilitate campaign acceleration, which will subsequently be formalized into requirements for Data Delivery software engineering teams.

  Required qualifications, skills and capabilities :

• Master's degree in a related field or bachelor's with 5+ years’ relevant experience in Marketing Campaign Development and Analytics (Marketing Life Cycle)
• Familiarity with Agentic AI tools (agent orchestration, function calling, prompt design, human-in-the-loop), applying them to enhance marketing operations, analytics, and decision-making
• Ability to identify and secure data assets for audience creation, campaign execution, and analytics aligned with business goals
• Experience delivering analytics and insights to management levels (including test design, financials, conversion reporting, response analysis, incremental analysis, profiling, segmentation)
• Strategic business and tactical implementation background
• 5 + years Python, complex SQL with star Schema data models, SAS, R, and other data analysis languages and skilled in cloud ecosystems (AWS, GCP, Azure, Snowflake, Databricks)
• Ability to define data and align access rolls to the correct level of security
• Strong analytical and problem-solving abilities
• Experienced with ETL/data wrangling tools (Alteryx, Trifacta, Pentaho, Altair) and knowledge of data warehouses and related concepts including architecture
• Expertise in reporting applications (Tableau, PowerBI, Qlik)
• Consulting ability to influence business partners and exceptional communication skills, able to translate complex information into clear presentations for senior leaders

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

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.