Manager, Media Experimentation & Incrementality

NBCUniversal; New York (NY); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k)

Paid leave

Tuition reimbursement

Job summary

NBCUniversal's Peacock is seeking a Manager of Media Experimentation & Incrementality to design, run, and validate incrementality studies that determine what media drives subscriber growth. This role sits in the Media Analytics group and emphasizes rigorous causal methods, power analyses, and hands‑on SQL/R/Python to validate vendor work.

The position combines technical rigor with strategic influence across performance and device media, with a hybrid work arrangement and strong collaboration

Qualifications

• 4+ years in marketing/media experimentation with direct design/QA ownership and vendor partnership experience.
• Strong command of causal inference in media (RCTs, geo, diff-in-diff, holdouts) and ability to evaluate vendor methods.
• Familiarity with power analysis and failure modes (leakage, seasonality, parallel trends).
• Experience with Google/Meta/TikTok incrementality and at least one CTV/Device environment.
• Fluent in SQL and Excel; knowledge of big data infrastructure and data science techniques.
• Effective communicator in a highly matrixed environment with cross-functional influence.

Responsibilities

• Own statistical rigor across the program: approve study designs, evaluate vendor methods, enforce power standards, and redesign under-powered studies.
• Shape the incrementality testing roadmap with leadership: define hypotheses, decision criteria, and end-to-end execution.
• Run independent validations: monitor leakage and seasonality, test vendor outputs with SQL, R, or Python analyses.
• Triangulate results with MMM and MTA; calibrate methods and contribute to a unified measurement view.
• Manage day-to-day relationship with the experimentation vendor: prioritize studies, align on methodology, and escalate blockers.
• Produce clear, defensible readouts: quantify lift and uncertainty, write memos, and guide in-market execution.
• Support expansion into subscriber engagement and holdout-based approaches.
• Mentor analysts and uplift partner teams on test design, power, and best practices.

Skills

SQL

Excel

R

Python

Causal inference

Project management

Communication

Tools

Vendor evaluation

Job description

Job Description

Peacock is in the middle of a significant strategic evolution, and how we measure media sits at the center of it. Our investment spans major performance publishers and leading streaming and CTV device platforms and proving the true incremental impact of that investment is one of the most consequential analytics problems in the business. The Manager, Media Experimentation & Incrementality is responsible for the design, execution, and quality of NBCU's incrementality testing program: the studies that establish what media actually drives subscriber growth.

Sitting within the Media Analytics team, this role helps shape the learning agenda for testing across Performance and Device media and owns how each study is designed, run, and read: decision‑grade standards, defensible results, and clear budget guidance. Experimentation is one of three pillars in our measurement framework, alongside Marketing Mix Modeling and Multi‑Touch Attribution, and serves as the causal source of truth that calibrates the other two.

This is a technical role first. The program is expanding in scope and rigor, including extending causal measurement beyond acquisition into subscriber engagement, and its credibility rests on the quality of its methods. The ideal candidate has deep command of causal inference in media (RCTs, geo and matched‑market designs, difference‑in‑differences, holdouts), fluency in power analysis and common failure modes such as leakage and seasonality, and the hands‑on SQL, R, or Python skills to independently validate what vendors deliver. Strong communication and cross‑functional influence remain essential; here, they are built on technical credibility.

Key Responsibilities

• Own statistical rigor across the program: review and approve study designs, evaluate vendor methods and assumptions, enforce power standards, and reject or redesign under‑powered or invalid proposals
• Shape the incrementality testing roadmap with Media Analytics leadership: define hypotheses, decision criteria, and power thresholds, and own end‑to‑end execution of the roadmap
• Run independent validations: monitor for leakage, seasonality confounds, and design defects, and pressure‑test vendor deliverables with targeted SQL, R, or Python analysis
• Triangulate experiment results with MMM and MTA: drive calibration across methods, propose tiebreakers where results diverge, and contribute to a unified view of incrementality across the measurement portfolio
• Manage the day‑to‑day relationship with our experimentation vendor: prioritize the study backlog, align on methodology, maintain testing schedules, and elevate blockers early
• Produce clear, defensible readouts: quantify lift and uncertainty, write concise decision memos, and hand off guidance to the Optimization & Insights team for in‑market execution and pacing
• Support the expansion of causal measurement into subscriber engagement, including holdout‑based approaches
• Mentor a Media Analytics analyst and uplevel partner teams on test design, statistical power, and common pitfalls, contributing to a standardized measurement approach across NBCU's Media Group

Qualifications

• 4+ years in marketing/media experimentation with direct design/QA ownership and experience partnering with an incrementality testing measurement vendor (e.g., Haus, Measured, or similar).
• Proven command of causal inference in media—appropriate use of RCT, geo, diff‑in‑diff, and platform holdouts—and the ability to evaluate vendor assumptions/methods.
• Familiarity with power analysis, and failure modes (leakage, seasonality, parallel trends); history of stopping or redesigning under‑powered tests.
• Platform experience: Google/Meta/TikTok incrementality and at least one CTV/Device environment (e.g., Roku, Samsung, Vizio).
• Experience reconciling vendor experiment reads with MMM/MTA and informing planning/pacing decisions without surprises.
• Fluent in SQL and Excel
• Knowledge of big data infrastructure and data science techniques.
• Effective communicator and collaborator with strong project management; ability to work in a highly matrixed environment and influence media buyers/channel leads.

Desired Characteristics

• Strong interpersonal skills with the ability to collaborate, motivate, and influence.
• Ability to thrive in a fast‑paced environment and meet tight deadlines.
• Proficient in using R or Python for data analysis
• Strong interest in the media industry, specifically in television and streaming.
• Strong sense of accountability, curiosity, and an innovative mindset, with the ability to thrive in a fast‑paced, evolving environment.

Additional Requirements

• Hybrid : This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of 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 a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $100,000 - $160,000 (bonus & long‑term incentive eligible).

Compensation

$100,000–$160,000 per year (bonus & 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's policy is to provide 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 as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [e-mail].