Senior Lifecycle Marketing Manager (Bankrate)

Requirements

• Lifecycle channel expertise — 4–7 years owning lifecycle marketing campaigns with direct accountability for performance. Experience managing email, push, or SMS channels end-to-end in a platform like Iterable, Braze, or similar
• Strong Iterable proficiency — You can build multi-step journeys, configure event-triggered workflows, set up dynamic segmentation, and troubleshoot delivery issues without engineering support
• Analytical mindset — You design experiments with proper holdouts, evaluate results with statistical awareness, and can build a dashboard or attribution model that stakeholders actually trust. You catch discrepancies in platform data
• Creative operator — You can write a strong brief, give useful creative feedback, and identify what’s driving a performance change at the copy or format level. You view creative as a performance lever, not an afterthought
• Structured project runner — You manage multiple workstreams simultaneously without dropping details. You own timelines, flag risks early, and keep stakeholders aligned without needing heavy oversight
• Clear communicator — You write and present with clarity. You can take a complex performance story and distill it into a crisp recommendation for a senior leader
• AI-forward practitioner — You actively use AI tools in your day-to-day work and have a point of view on where they add real value versus where human judgment is irreplaceable
• High ownership mentality — You hold yourself accountable to outcomes, not just outputs. You follow through, communicate proactively, and don’t wait to be asked

What the job involves

• We're looking for a Senior Lifecycle Marketing Manager to own end-to-end execution across assigned lifecycle channels — driving measurable performance through smart automation, rigorous experimentation, and data-backed creative strategy
• This is a high-impact individual contributor role for someone who is equally comfortable designing a multi-step journey and presenting their channel results to senior leadership
• You'll work closely with the Director of Lifecycle Marketing to execute on the roadmap — but you'll own your channels, bring your own hypotheses, and be accountable for results
• This isn't a coordinator role
• You'll be expected to diagnose complex problems, move quickly, and raise the bar for how Bankrate communicates with its users
• Channel ownership — Own the full campaign lifecycle for your assigned channels — from strategy and segmentation through build, QA, deployment, and post-send analysis. Diagnose and resolve complex delivery issues (CPL spikes, CVR drops, approval rejections) before they affect KPIs
• Journey architecture — Design and manage multi-step, trigger-based lifecycle journeys in Iterable. Build event-driven workflows that respond to user behavior in real time. Document your logic, segment definitions, and decision trees so the team can learn from and replicate your approaches
• Creative strategy & briefs — Lead creative strategy for your channels — using performance data to develop testable hypotheses on hooks, CTAs, and formats. Translate data into clear, actionable creative briefs that reduce revision cycles and ship faster
• Attribution & reporting — Design and maintain attribution frameworks and custom dashboards for your channels. Evaluate platform-reported metrics against internal attribution to surface discrepancies, guide budget decisions, and reduce over-attribution
• Structured experimentation — Design and execute multi-variable experiments (creative x audience x placement) with proper holdout groups. Translate test results into playbooks that improve CVR and can be reused across the team's broader channel suite
• Performance diagnosis — When something breaks — a CPL spike, sudden CVR drop, unexplained churn — you're the first one to form a hypothesis and test a fix. You thrive in ambiguity and use data to move fast with limited information
• Integrate AI into your workflow — Use AI tools consistently to accelerate campaign work — drafting copy, building performance reports, generating test hypotheses, or structuring briefs. Evaluate AI outputs critically before publishing. Document where AI creates real leverage and share those approaches with the broader team