Job Description

NBCUniversal Advertising Products & Solutions (AP&S) is responsible for the product development, project management, and day-to-day operations of NBCUniversal’s full advertising technology suite. From program development to product management to sales operations, our division services both internal and external customers in support of NBCUniversal’s $7B+ annual advertising business. Together, we’re building the platform that powers the future of advertising at NBCU.

NBCUniversal is seeking a Manager, Development & Innovation to join our Data Collaboration team. This role is focused on the ideation, discovery, and execution of NBCU’s advanced, data-driven advertising solutions through tools such as data clean room environments and third-party measurement integrations.

As a Manager, Development & Innovation, you will be the bridge between business requirements and technical execution. You will work closely with Data Science and Engineering & Operations to translate complex data needs — such as audience overlap, multi-touch attribution, and incrementality — into actionable technical specs and to ensure integrated execution and scalable deployment across NBCU’s ad tech stack.

You will thrive in this role if you enjoy getting under the hood of data products, working on 0-1 initiatives, and ensuring stakeholders, both internal and external, can capture value from the tools and reports you enable.

_ Responsibilities_

• Receive and interpret requirements from stakeholders and senior product leads, clarifying assumptions and edge cases to ensure technical teams have a clear "why" behind every feature.
• Translate high-level measurement needs into detailed user stories and acceptance criteria. For example, scoping the "how" for adding new measure fields into existing reports using SQL.
• Perform basic data analyses to understand constraints and trade-offs. Work closely with Data Science to capture logic changes for reports, such as establishing parity between incrementality models and final reporting schemas.
• Execute agreed-upon project plans by breaking down requirements into tasks with realistic estimates. Maintain the team’s Jira boards and Confluence documentation to ensure a clear "source of truth."
• Actively participate in technical check-ins to monitor development progress. Perform QC on features by validating data logic and ensuring robust solutions.
• Partner with Engineering & Operations to carry out the dev-to-dev clean room testing process. Advise on code release readiness, ensuring Sphinx documentation is updated and artifacts are built correctly before productionalization.
• Proactively communicate project status, risks, and technical blockers to immediate teams and senior product leadership.
• Act as a subject matter expert on the specific "how" of our data products, articulating the delivery methods, cadence, and ID spines used across various 3P measurement vendors (e.g., XP R&F, Sales Lift, and Attribution).
• Follow established process flows for development and deployment, escalating gaps or inefficiencies in the workflow.

Qualifications

_ Qualifications:_

• 3+ years of experience in product management, data analytics, or technical project management, ideally within the ad tech and/or martech domain.

• Technical Skills: Ability to read and understand SQL queries (both DML and DDL statements), scope database fields, and perform basic data validation with Python.

• Technical Literacy: Familiarity with data infrastructure components such as
  Snowflake and Databricks, Python-based libraries, and documentation tools like Sphinx.

• Measurement Knowledge: Understanding of core advertising measurement concepts including Reach & Frequency, Attribution, Incrementality, and ID Graphs/Spines.

• Detail Oriented: Proven ability to write unambiguous user stories and manage complex Jira workflows.

• Communication Skills: Able to translate technical blockers into business-impact language and vice-versa.

• Education: Bachelor’s degree in a relevant field (Computer Science, Data Analytics, Economics, Business, or equivalent experience).

_ Preferred Qualifications:_

• Clean Room Familiarity: Experience with or a strong interest in data clean room environments (e.g., Snowflake, Liveramp/Habu, Databricks) and cross-cloud data sharing.
• Data Science / Statistical Background: Experience or academic background in Data Science, specifically related to lift testing, experimental design, and statistical modeling.
• Data Engineering Background: Experience in Data Engineering or Analytics Engineering, with a focus on data pipeline solutioning, schema design, and ETL/ELT optimization.

** Additional Requirements:**

Hybrid : This position currently has a hybrid schedule, which requires contributing 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 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 AccessibilitySupport@nbcuni.com.