Head of Advanced Analytics

Position Summary:

Penn Foster helps learners gain the skills to start new careers.

We’re seeking a passionate, strategic Director to lead our Advanced Analytics team and drive impact across the business.

In this role, you’ll partner with Digital Marketing & Sales, Learning Experience (LX), Student Success, Product, Finance/RevOps, and Partnerships to improve acquisition, engagement, completion, and revenue quality through experimentation, advanced modeling, and data-informed decisioning.

Success will be measured by revenue and new customer growth, marketing efficiency (LTV/CAC, ROAS), conversion rate lift across the funnel, learner engagement and completion gains, and quality-of-revenue outcomes (e.g., LTV, retention, contribution margin, payback).

What you can expect working with us:


* Mission-oriented culture, high-performing team and company, with opportunities for growth and development


* Partnership with a dedicated, experienced cross-functional team that emphasizes innovation and data-driven decision making


* Work that is interesting and ripe for analytics


* A fun place to work with smart people who like to win


* Interaction with executives on a regular basis

Essential Job Functions:


* Develop and manage a best-in-class analytics team



* Growth & Acquisition Analytics: Funnel diagnostics, media mix/attribution, incrementality testing, CRO, audience modeling, and forecasting.


* Learner Engagement & Outcomes: Risk and propensity models (activation, re-engagement, completion), intervention/coach attribution, pacing insights, and cohort health; A/B and MVT of nudges and product features.


* Revenue & Pricing Models: LTV frameworks, contribution margin, churn/retention drivers, pricing & discounts elasticity, program ROI, and forecast accuracy.


* Program & Partner Analytics: Externship/site capacity and utilization, match quality, post-externship outcomes, employer-aligned skills signals.


* Experimentation Platform: Design the testing roadmap; ensure high-quality causal inference (holdouts, CUPED/variants where appropriate), and clear readouts.


* Decision Intelligence & Dashboards: Executive and operator-friendly BI for acquisition, engagement, completion, and revenue; standardized KPIs and definitions.


* Data Science Leadership: Build and mentor a high-performance team (DS/ML, analytics engineering, BI); partner with data engineering to productionize models.



* Design and perform A/B and multivariate testing and identify campaign optimizations for both pre and post enroll learner journeys


* Develop and utilize attribution and other advanced models to find areas of opportunity across the funnel


* Create and refine reporting, data capture and insight generation to meet the evolving needs of the business


* Develop and implement segmentation and targeting methodologies and harness insights from customer research, consumer data, and surveys to improve custo...