Senior Director, Growth & Commerce Product Analytics

Job Description The Media Group at NBCU supports a collection of consumer‑first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. We’re looking for a Senior Director of Growth & Commerce Product Analytics to lead the analytics function that helps Peacock grow its subscriber base, improve commerce experiences, reduce churn, and increase ARPU. This leader will partner with Product, Engineering, Growth, and other business teams to turn customer behavior, product performance, and business goals into clear decisions and measurable outcomes. Responsibilities Build and lead a high‑performing Growth & Commerce Product Analytics team of managers and individual contributors focused on subscriber growth, retention/churn reduction, and ARPU. Develop and execute the analytics strategy, operating model, and roadmap for Growth & Commerce Product Analytics across NBC Global Streaming. Identify high‑value opportunities across acquisition, conversion, retention, upgrades, pricing and packaging, win‑back, offers, partnerships, account management, and monetization. Partner with Product, Engineering, Growth, and other teams to prioritize product bets, diagnose customer friction, and link roadmap decisions to measurable subscriber and revenue outcomes. Influence the Growth and Commerce experimentation roadmap by improving hypothesis quality, metric definition, guardrails, test sequencing, readouts, and application of learnings to future product decisions. Partner with data engineering and instrumentation to define analytics and experimentation data requirements, validate data quality, and ensure production data models and pipelines support reporting, self‑service tools, and decision‑making. Advance AI‑enabled, Databricks‑based, and self‑service analytics workflows that improve analyst productivity, automate recurring readouts, accelerate diagnostics, and make trusted insights easier for stakeholders to act on. Translate complex analyses, experimentation results, and customer behavior patterns into clear executive narratives that explain what is happening, why it matters, and what actions should be taken. Minimum Qualifications 10+ years of applied experience in product analytics, growth analytics, commerce analytics, data science, business analytics, or a related analytical discipline in a high‑scale digital product environment. 6+ years of people management experience with a record of building, leading, and elevating high‑performing teams of managers and individual contributors. Direct experience supporting growth, commerce, subscription, lifecycle, retention, monetization, e‑commerce, or customer journey product teams. Strong understanding of subscriber growth, churn reduction, ARPU, LTV, paid conversion, upgrades, pricing and packaging, win‑back, offer performance, funnel optimization, and customer behavior analysis. Hands‑on experience with SQL and large‑scale datasets; experience using Python, R, notebooks, Databricks, or similar analytical tools to conduct analysis, automate workflows, and guide analytical quality. Strong understanding of A/B testing, metric design, statistical concepts, causal measurement, power, guardrails, and result interpretation. Experience building or scaling dashboards, automated reporting, diagnostic tools, metric frameworks, self‑service analytics capabilities, or AI‑enabled analytics workflows. Proven ability to influence senior executives and cross‑functional stakeholders by translating complex analytical work into clear business implications and actionable recommendations. BA/BS in a quantitative, technical, business, scientific, or related field, or equivalent practical experience. Advanced degree preferred. Preferred Qualifications Background in streaming, media, eCommerce, consumer technology, subscriptions, marketplaces, gaming, fintech, or other high‑scale digital product environments. Familiarity with CUPED, regression adjustment, causal inference, heterogeneous treatment effect analysis, quasi‑experimental methods, or incrementality measurement. Experience with Databricks SQL, Databricks notebooks, Delta Lake, Databricks Genie, or similar self‑service and AI‑enabled analytics capabilities. Track record building analytics operating models, metric governance, self‑service analytics programs, experimentation enablement practices, or scalable decision‑support workflows. Additional Responsibilities Hybrid : This position currently has a hybrid schedule, requiring contributions from the office at least four days per week. The Company reserves the right to change in‑office requirements at any time. This position is eligible for company‑sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and other discounts and perks. Salary range: $230,000–$280,000 (bonus and long‑term incentive eligible). Additional Information As part of our selection process, external candidates may be required to attend an in‑person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal provides equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process due to your disability, you have the right to request a reasonable accommodation. You can submit your request to View email address on click.appcast.io. #J-18808-Ljbffr NBCUniversal