Direct Mail Campaign and Analytics Lead (Senior Manager)

Role Overview

Join Point as the Direct Mail Campaign and Analytics Lead (Senior Manager). You will own and scale Point’s direct-to-consumer direct mail prescreen program, manage a meaningful portion of the marketing budget, and improve business performance through experimentation, analytics, and vendor/partner execution.

Responsibilities

• Own and scale the direct mail prescreen program; explore and test opportunities to increase volume effectively.
• Perform deep performance analysis of campaigns, measure ROI, and recommend optimization actions.
• Partner with Data Science to continuously develop, validate, and refine prescreen criteria and response models.
• Drive innovation across audience targeting, creative testing, vendor management, and program execution.
• Design, run, and manage experiments; build end-to-end testing/experimentation roadmaps for continuous optimization.
• Manage project execution and budget; coordinate multiple external partners (print, data, agency).

Requirements

• Consumer lending or financial services experience strongly preferred.
• Ability to operate in ambiguous, fast-paced environments and build scalable processes/frameworks.
• Strong analytical capabilities: interrogate complex datasets, validate analyses (including work produced by others/AI), and translate findings into strategic decisions.
• Proven track record owning growth initiatives and delivering measurable outcomes while managing significant marketing budgets.
• 3+ years managing large-scale prescreen direct mail programs (3M+ mail pieces/month), ideally in consumer lending/financial services or other regulated industries.
• 7+ years experience in growth/performance/analytics-focused marketing.
• Exceptional project management, organization, and communication skills; present insights to senior leaders.
• Proven ability to manage multiple vendors/partners while maintaining high quality and accuracy.
• Meticulous attention to detail and strong execution standards.
• Ability to define and lead end-to-end experimentation roadmaps.
• Experience partnering with Data Science/Analytics/AI teams on targeting, scoring, forecasting, and experimentation strategies.

Nice-to-haves

• Experience in highly regulated industries and strong familiarity with prescreen modeling/response forecasting techniques.