Data & Marketing Systems Quant Analytics Lead-Senior Associate

Job Description

Shape how marketing execution uses data—at scale and with strong controls—to deliver more relevant customer experiences. In this role, you will modernize targeting data, reduce manual reporting through automation, and improve reliability with proactive monitoring. You will partner across Product, Technology, and business stakeholders to bring measurable outcomes to life while enabling responsible use of artificial intelligence.

Job summary 
As a Data Management Lead in the Marketing Execution team, you will design and run data strategies that improve audience targeting, measurement, and operational efficiency. You will turn business needs into clear, testable requirements and repeatable datasets that support consistent delivery. You will implement monitoring and quality checks to detect issues early and protect performance. You will help teams adopt responsible “human-in-the-loop” ways of working for AI-supported execution. You will quantify and communicate value through cycle-time reduction, hours saved, and audience quality improvements.

You will help establish reusable audience frameworks and documentation that accelerate delivery and reduce rework. You will collaborate closely with Product and Technology to ensure new capabilities include clear controls, explainability expectations, and measurable success criteria. You will build strong relationships across workstreams and drive adoption of best practices for standardization and reusability.

Job responsibilities

• Develop and implement data management strategies for marketing execution, including AI-assisted data quality monitoring and automated operational reporting to reduce manual effort and improve reliability
• Leverage data from systems of record to refine targeting and optimize performance, incorporating advanced analytics and machine learning-informed insights (for example, propensity and suppression inputs) where approved
• Drive adoption of best practices for standardization and reusability of marketing data outputs, including reusable audience frameworks and generative AI-accelerated documentation (requirements, definitions, quality assurance checklists)
• Manage execution, monitoring, and quality of data initiatives to support message-driven audience targeting, including proactive issue detection through alerts and anomaly flags
• Collaborate with Product and Technology to orchestrate requirements and delivery plans for product development, omnichannel initiatives, and system implementations, ensuring AI-enabled capabilities have clear controls and measurable outcomes
• Build strong working relationships across workstreams and stakeholders, and help drive adoption of human-in-the-loop operating models that enable safe scaling of AI-supported execution
• Partner with business leadership to define priorities and oversee execution, including quantifying value from automation and AI (cycle-time reduction, business-as-usual hours saved, audience quality improvements, performance lift)

Required qualifications, capabilities, and skills

• Bachelor’s degree in Data Science, Statistics, Information Systems, or related field
• Experience in data analytics or customer segmentation, with ability to connect analytics outputs to campaign execution outcomes
• Proficiency with tools such as SQL, Python, Excel, Tableau, Adobe, and Segment, with ability to build repeatable datasets and automation-friendly outputs
• Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners
• Knowledge of digital marketing principles and measurement, with ability to run structured test-and-learn optimization
• Ability to build cross-functional relationships and drive change adoption across stakeholders
• Strong communication skills, including ability to explain AI-supported decisions and controls clearly and without jargon

Preferred qualifications, capabilities, and skills

• Experience in marketing operations and marketing technology, including familiarity with AI-enabled targeting or decisioning
• Proficiency in project management and agile tools (for example, Microsoft Project, Excel, PowerPoint, Jira, Confluence), with ability to run automation-first plans and track value realization
• Experience with customer data platforms and marketing automation tools (for example, Salesforce, Segment, SAS, Adobe, Microsoft), including incorporating model outputs into activation where permitted
• Experience working with agencies or consultancies, with ability to translate vendor capabilities into governed requirements suitable for a bank environment
• Ability to manage multiple initiatives under tight deadlines while maintaining quality through automation and AI-assisted analysis
• Strong relationship development and negotiation skills, including aligning partners on responsible AI use, governance needs, and measurable success criteria

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.