Responsibilities

• Leadership: 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.
• Strategy Development: Develop and execute the analytics strategy, operating model, and roadmap for Growth & Commerce Product Analytics across NBC Global Streaming.
• Business Impact: Identify high-value opportunities across acquisition, conversion, retention, upgrades, pricing and packaging, winback, offers, partnerships, account management, and monetization.
• Product Partnership: Partner with Product, Engineering, Growth, and other business teams to prioritize product bets, diagnose customer friction, and connect roadmap decisions to measurable subscriber and revenue outcomes.
• Experimentation: 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.
• Data Quality: Partner with data engineering and instrumentation teams to define analytics and experimentation data requirements, validate data quality, and ensure production data models and pipelines reliably support reporting, self-service tools, and decision-making.
• Analytics Scale: 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 access and act on.
• Communication: 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.

Requirements

• Experience: 10+ years of applied experience in product analytics, growth analytics, commerce analytics, data science, business analytics, or related analytical discipline in a high-scale digital product environment.
• Leadership: 6+ years of people management experience with a record of building, leading, and elevating high-performing teams of managers and individual contributors.
• Growth & Commerce Analytics: Direct experience supporting growth, commerce, subscription, lifecycle, retention, monetization, eCommerce, or customer journey product teams.
• Business Acumen: Strong understanding of subscriber growth, churn reduction, ARPU, LTV, paid conversion, upgrades, pricing and packaging, winback, offer performance, funnel optimization, and customer behavior analysis.
• Technical Skills: Hands-on experience with SQL and large-scale datasets, with experience using Python, R, notebooks, Databricks, or similar analytical tools to conduct analysis, automate workflows, and guide analytical quality.
• Experimentation: Strong understanding of A/B testing, metric design, statistical concepts, causal measurement, power, guardrails, and result interpretation.
• Analytics Tools: Experience building or scaling dashboards, automated reporting, diagnostic tools, metric frameworks, self-service analytics capabilities, or AI-enabled analytics workflows.
• Communication: Proven ability to influence senior executives and cross-functional stakeholders by translating complex analytical work into clear business implications and actionable recommendations.
• Education: BA/BS in a quantitative, technical, business, scientific, or related field, or equivalent practical experience. Advanced degree preferred.

Preferred

• Industry Experience: Background in streaming, media, eCommerce, consumer technology, subscriptions, marketplaces, gaming, fintech, or other high-scale digital product environments.
• Advanced Measurement: Familiarity with CUPED, regression adjustment, causal inference, heterogeneous treatment effect analysis, quasi-experimental methods, or incrementality measurement.
• Analytics Platforms: Experience with Databricks SQL, Databricks notebooks, Delta Lake, Databricks Genie, or similar self-service and AI-enabled analytics capabilities.
• Scaled Analytics: Track record building analytics operating models, metric governance, self-service analytics programs, experimentation enablement practices, or scalable decision-support workflows.

Benefits

• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.