Performance Marketing Optimization Manager

The Performance Marketing Optimization Manager supports paid marketing performance across paid media, direct mail, and affiliate channels by diagnosing funnel friction, prioritizing experimentation, and informing optimization across creative, audiences, channel mix, cadence, and post‑click experience. The role applies conversion rate optimization (CRO) principles at the paid portfolio level, connecting top‑of‑funnel signals to downstream business outcomes to improve overall paid efficiency.

This role develops the paid learning agenda and experimentation roadmap in partnership with key stakeholders, ensuring testing focuses on the highest‑impact performance questions. By synthesizing performance data, competitive trends, industry benchmarks, and audience insights, the role translates complex signals into clear recommendations that consistently influence go‑forward marketing decisions.

The Performance Marketing Optimization Manager works closely with paid channel leads, Product Marketing, Marketing Analytics, Digital and Product teams, and agencies to evaluate performance, align on testing priorities, and ensure learnings are applied across campaigns and products. The role operates with a strong test‑and‑learn mindset and helps balance near‑term optimization with longer‑term learning goals, while ensuring all work aligns with bank policies, regulatory requirements, and enterprise marketing standards.

Key Responsibilities

• Analyze performance across paid marketing channels and funnel stages to identify optimization and conversion opportunities, connecting top‑of‑funnel signals (impressions, clicks, applications) to downstream outcomes such as funded accounts, booked loans, adoption, engagement, and retention

• Develop the paid learning agenda and experimentation roadmap with key stakeholders, prioritizing the highest‑impact performance questions and informing tests across creative, audiences, offers, sequencing, channel mix, and post‑click experience

• Apply CRO principles to evaluate landing page and application performance from a paid marketing perspective, identifying conversion friction, drop‑off points, and experience gaps that impact paid efficiency

• Translate funnel diagnostics and test learnings into clear, actionable recommendations that inform landing page and application optimization roadmaps in partnership with Digital and Product teams

• Synthesize performance data, competitive trends, and industry benchmarks into performance optimization recommendations for paid channel leads and Product Marketing

• Partner with Marketing Analytics to ensure experimentation frameworks, measurement approaches, and learnings are consistent, scalable, and usable across paid marketing efforts

Basic Qualifications

• Bachelor’s degree, or equivalent work experience

• Six or more years of related experience in marketing and marketing strategy with proven ability to deliver results

Preferred Skills / Experience

• Experience applying experimentation and CRO concepts to improve marketing performance beyond on‑site conversion

• Strong understanding of funnel dynamics from click through funding, adoption, or engagement

• Ability to analyze quantitative and qualitative data to identify performance drivers and friction points

• Familiarity with A/B testing, experimentation design, and funnel diagnostics

• Experience partnering cross‑functionally with product marketing, analytics, digital teams, agencies, and channel leads

• Strong verbal, written, and presentation skills, with the ability to communicate insights to senior and cross‑functional stakeholders

• Strong organizational and prioritization skills with intellectual curiosity and a continuous improvement mindset

• Proficient computer navigation skills using analytics, marketing, and productivity tools

• MBA or equivalent markers of high achievement are a plus

Location Expectations

This role is hybrid. Team members who are in a hybrid role typically spend three days a week at the listed U.S. Bank location(s), while having flexibility on t