• Define and scale the NORAM customer marketing and experience strategy aligned to pipeline and revenue goals • Build a cohesive, end-to-end strategy across trade shows, field events, and customer programs that drive significant pipeline growth • Design meaningful persona-driven activations that build relationships with key buyers across ecommerce function,digital, risk and fraud. • Act as a player-coach, setting direction while remaining hands-on in execution • Own the end-to-end customer marketing strategy across the lifecycle, driving engagement, retention, and expansion • Build structured programs that turn customers into advocates, references, and growth drivers for the business • Manage vendors, budgets, logistics, and timelines end-to-end • Define and own success metrics across pipeline influence, engagement, and ROI

• Teaching effectiveness, professionalism, use of technology, and content expertise • Communicate with students and supervise Deans or other University staff related to teaching and learning • Organize classroom and efficiently use class time • Demonstrate mastery and ability to articulate and relate to students • Support students in collaboration with their Dean • Attend events, programmatic meetings, and committee work as agreed upon and/or designated by the Dean • Complete a minimum of six (6) Rasmussen Educational Units (REUs) annually or two (2) REUs per quarter for each quarter you teach

Role Description You'll build the measurement frameworks and analyses that guide the growth team's decisions on acquisition, activation and retention. Working with the Head of Growth, you'll instrument experiments, analyse cohort behaviour, build attribution models and surface insights that the team can act on weekly. What you'll do - Build cohort and retention analyses using SQL and Python - Design A/B test plans and run statistical significance analysis on results - Build and maintain GA4 event tracking and attribution models - Create growth dashboards used in weekly leadership reviews - Identify churn signals and work with CRM to design intervention experiments Qualifications - Strong SQL – you can write complex queries and cohort analyses from scratch - Comfort with Python for analysis and data wrangling - Understanding of A/B testing and statistical significance - Familiarity with GA4 and digital attribution - Good async written communication – you can explain what the data means Requirements - Experience with subscription business metrics (MRR, LTV, churn) - Nice to have - Familiarity with CRM tools (Klaviyo, Braze or similar) - Nice to have Benefits - $700–$1,100 USD/month, paid monthly - Fully remote – work from anywhere - Flexible hours with some UK overlap - $500/year learning budget - Home office equipment stipend

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