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Leads business analysis across customer acquisition and lifecycle experience analytics. The role evaluates funnels, customer behavior, segmentation, CAC, LTV, retention, experimentation, and forecasting; builds dashboards and reporting; translates complex data into growth strategies; partners cross-functionally with marketing, product, data, customer, risk, and engineering teams; and manages and mentors analysts.

Leads customer experience product strategy, vision, roadmap, and delivery across the customer lifecycle. Partners with engineering, marketing, data, and go-to-market teams to improve activation, retention, engagement, utilization, and lifetime value. Defines requirements, KPIs, experimentation frameworks, and prioritization models while aligning product capabilities with market needs. This leader also mentors product team members and uses customer lifecycle metrics, cohort analysis, and segmentation to optimize digital experiences and expand offerings.

Own customer experience product execution from discovery through delivery and measurement. Responsibilities include managing the backlog and roadmap, conducting user research, writing requirements and acceptance criteria, collaborating with engineering and cross-functional teams, supporting launches, tracking lifecycle metrics, and designing experiments to improve activation, retention, engagement, utilization, and adoption.

The Growth Marketing Manager executes and optimizes paid acquisition and lifecycle marketing programs across search, social, display, email, and customer messaging channels. Responsibilities include budget pacing, targeting, deliverability, CRM and martech data flows, brand and content QA, experimentation, CAC and LTV optimization, and building AI agents for monitoring and reporting. The role collaborates with Marketing, Data, Creative, Engineering, and Business Analytics to improve customer acquisition, enrollment, engagement, and retention.

Analyzes customer acquisition, lifecycle, segmentation, retention, and marketing performance for BillGO Exchange. Builds CAC, LTV, funnel, cohort, and churn analyses; develops dashboards and reporting; designs and measures experiments; identifies customer experience improvements; and translates complex data into actionable recommendations. Partners cross-functionally with marketing, product, customer success, growth, risk, and data engineering teams to improve acquisition, activation, retention, utilization, and profitability.

Develop and deploy AI and machine learning models for fraud prevention, financial risk, customer targeting, payment optimization, anomaly detection, and real-time decisioning. Build data pipelines and features from high-volume financial datasets, lead experimentation, integrate models into products, and communicate findings to business and compliance stakeholders. Research generative AI, LLMs, and financial AI applications while supporting model governance and regulatory compliance.