Senior Manager, Direct Mail Campaign and Analytics Lead

Local or 100% Remote

 

About the role

This role owns and scales Point's highest-performing acquisition engine: our direct-to-consumer direct mail (DM) prescreen program. As the largest and most strategically important growth channel for Point—and a true competitive advantage—you will directly manage a major portion of the company's marketing spend and have a material impact on overall business performance.

We are looking for a leader, who can leverage their extensive experience in managing direct to consumer direct mail campaigns and drive innovation across audience targeting, creative testing, vendor management and speed and accuracy of execution.

You will also orchestrate a complex operation: managing multiple print, data, and list vendors end-to-end, holding them to a high bar on quality and timeliness, and coordinating creative production—all with exceptional attention to detail. Experience in consumer lending or financial services is strongly preferred.

You will live in the data: partnering with the data science team building and validating targeting and response models, designing rigorous experiments, and turning detailed campaign analysis into spend and optimization decisions. Precision and intellectual rigor are the core of the job—every mail decision is a quantitative one.

 

Your responsibilities

• Direct Mail Strategy & Execution: Own and scale Point's highest-volume marketing channel—the direct-to-consumer direct mail prescreen program. Explore and test opportunities such as Triggers, 3rd-party list buys, ITAs, and new data sources to scale volume efficiently.
• Detailed Performance Analytics: Independently conduct deep, hands-on analysis of campaign performance to uncover insights, measure ROI, and recommend optimizations. Write your own SQL, do deep analysis to understand how different segments respond and convert, and pressure-test results. Analyze and optimize to improve KPIs such as customer acquisition cost (CAC), response and conversion rates, cost per funded customer. Own campaign forecasting and in-month pacing.
• Partnership with Data Science: Work hand-in-glove with the Data Science team to develop, validate, and continuously refine prescreen criteria, audience scoring/response models, and value estimation. Translate business questions into modeling requirements, stress-test model outputs, and turn them into targeting decisions—acting as the connective tissue between analytics and channel execution.
• Vendor & Partner Management: Manage relationships with multiple print, data/list, and agency vendors end-to-end. Set clear SLAs and quality standards, coordinate timelines across partners, resolve issues quickly, and hold vendors accountable for accurate, timely, performance-oriented work.
• Experimentation: Design and run well-controlled experiments on creative, targeting strategies, offer construction, and the mail decision itself—defining success metrics, sizing tests appropriately, and reading results rigorously to meet growth goals while managing risk.
• Creative Development & Testing: Author creative briefs and lead cross-functional collaboration to develop, iterate, and test new direct mail creative. Partner with Creative/Content teams and external agencies to ensure messaging accuracy, compliance, and brand consistency.
• Project & Budget Management: Oversee complex, multi-workstream campaign operations with meticulous attention to detail and clear communication across stakeholders. Manage the direct mail budget, ensuring efficient allocation and high ROI.

 

About you

• 7+ years of experience in growth, performance, or analytics-focused marketing.
• 3+ years of experience managing large-scale prescreen direct mail programs (3M+ mail pieces per month), ideally within consumer lending, financial services, or other highly regulated industries.
• Proven success owning growth initiatives and delivering measurable business outcomes while managing significant marketing budgets.
• Deep analytical skills with the ability to independently interrogate complex datasets, validate analyses (whether self-generated or produced by analysts or AI), and translate findings into strategic business decisions.
• Experience partnering closely with Data Science, Analytics, and AI teams to develop targeting, scoring, forecasting, and experimentation strategies.
• Demonstrated ability to define and lead end-to-end testing and experimentation roadmaps that drive continuous optimization and business growth.
• Experience operating effectively in ambiguous, fast-paced environments, building scalable processes and operational frameworks where they do not yet exist.
• Strong strategic thinking with the ability to identify key business questions, prioritize opportunities, and influence decisions through data-driven recommendations.
• Proven track record of managing multiple external partners and vendors (including print, data, and agency partners) while maintaining exceptional quality, accuracy, and execution.
• Exceptional project management, organizational, and communication skills, with the ability to present insights and recommendations to senior leaders and collaborate effectively across cross-functional teams.
• Meticulous attention to detail with a high bar for accuracy and execution.

 

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $142,000 - $175,350
• Tier 2 | Austin, Boston, Chicago, Denver, Los Angeles, Miami, Philadelphia, Portland, Sacramento, San Diego, Santa Barbara & Washington DC | $127,800 - $157,815
• Tier 3 | All other US metro areas | $119,900 - $148,050

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

 

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, ME, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.