Marketing Optimization Lead

We are seeking a hands-on Marketing Optimization Lead to help transform historical marketing campaign results into reusable performance curves, incremental financial models, and optimization scenarios.

The initial focus is a financial acquisition and customer retention. This person will partner with data scientists, Finance, Marketing, Risk, and technology teams to develop a repeatable approach for evaluating offers and allocating investment across customer segments.

The ideal candidate has implemented marketing decisioning solutions and can connect campaign measurement, customer behavior, financial economics, and mathematical optimization.

What You'll Do:

• Assess existing acquisition and retention proofs of concept in Excel and Databricks and define the path to repeatable optimization.
• Develop a reusable library of baseline and campaign-lift curves covering response, conversion, retention, sales, balances, accounts receivable, and credit losses.
• Establish methods for combining historical campaign results, accounting for seasonality, and estimating outcomes where data is limited.
• Use treatment/control evidence to distinguish incremental campaign effects from underlying customer behavior.
• Define customer segments using profitability, churn, credit risk, and transactor/revolver behavior.
• Translate business goals into optimization objectives and constraints, including investment budgets, account growth, profitability, offer eligibility, and loss limits.
• Partner with Finance to validate incremental P&L calculations, assumptions, and decision thresholds.
• Guide scenario implementation in Experian Optimize, working with engineering and vendor resources as needed.
• Compare scenarios and explain financial and risk trade-offs to business leaders.
• Define requirements for storing, refreshing, and maintaining curves and assumptions with the data engineering team.
• Mentor existing data scientists and document methods so the client can maintain and extend the solution.
• Identify opportunities to automate validated analytical workflows using conventional automation or approved AI tools.

What You'll Need:

• Demonstrated experience leading and personally delivering marketing analytics, decision science, or optimization solutions.
• Strong experience in credit cards, consumer lending, retail banking, or a closely related financial-services domain.
• Experience with acquisition, retention, offer targeting, or customer portfolio optimization.
• Hands-on expertise in constrained optimization, including translating business requirements into objective functions and constraints.
• Strong knowledge of campaign measurement, experimental design, segmentation, and incremental lift estimation.
• Experience building historical performance curves or comparable longitudinal models used to forecast customer and financial outcomes.
• Working understanding of incremental P&L, NPV, ROI, funding costs, and credit-loss economics.
• Strong SQL and Python knowledge, with the ability to inspect data, validate calculations, and develop analytical prototypes.
• Ability to work across business, Finance, Risk, data science, and engineering stakeholders.
• Clear communication skills and experience coaching analytical teams.
• Hands-on experience with Experian Optimize or a comparable constrained optimization platform.
• Experience with Databricks and enterprise customer/account data.
• Experience moving spreadsheet-based decision processes into repeatable operational workflows.
• Familiarity with churn models, predictive profitability, credit-risk scores, and response models.
• Experience designing versioned assumptions and reproducible scenario analyses.
• Practical experience applying AI-assisted automation to analytical workflows.