Sr. Director, Data Product & Strategy

📍 Job Overview

Job Title: Sr. Director, Data Product & Strategy

Company: NBCUniversal

Location: 30 Rockefeller Plaza, New York, NEW YORK, United States

Job Type: Full-time

Category: Data Product Management & Strategy (Revenue Operations Adjacent)

Date Posted: June 02, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the strategic vision and execution for NBCUniversal's enterprise-wide Customer Data and Activation Platform, focusing on the holistic lifecycle of first-party customer data.

• Define and manage the long-term roadmap for audience data products and platforms, encompassing Customer Data Platforms (CDPs), media activation systems, and measurement tools.

• Drive data-driven marketing initiatives by overseeing data governance, ensuring privacy compliance (GDPR, CCPA), and implementing robust data quality standards.

• Foster organizational change to embed data-driven practices, optimize marketing ROI, and identify opportunities for data monetization within the media and entertainment landscape.

📝 Enhancement Note: This role is critical for a media giant like NBCUniversal, bridging the gap between raw data and actionable marketing strategies. It requires a strong blend of technical understanding, strategic foresight, and leadership to influence data utilization and monetization across various business units. The "Revenue Operations Adjacent" category is assigned because while not a direct RevOps role, the focus on data activation, monetization, and ROI directly impacts revenue generation and efficiency.

📈 Primary Responsibilities

• Develop and Execute Data Strategy: Define a comprehensive data vision for the Customer Data Ecosystem and marketing platforms that aligns with organizational goals, competitive trends, and media industry dynamics.

• Translate Strategic Objectives: Convert high-level strategic objectives into actionable plans for data activation, marketing technology enhancements, and platform development.

• Own Data Governance and Compliance: Establish and enforce a robust data governance framework for all first-party customer data, ensuring adherence to global privacy regulations (GDPR, CCPA) and implementing risk management practices for data integrity and ethical use.

• Oversee Platform Roadmap & Portfolio Management: Manage the marketing data ecosystem roadmap (CDP, Media, Measurement), including data ingestion, ETL/ELT processes, and feature rollouts, utilizing agile methodologies (e.g., JIRA) for timely execution.

• Drive Innovation & Continuous Improvement: Research and integrate emerging data technologies and trends to maintain a cutting-edge marketing data ecosystem and enhance data quality, integration, and activation capabilities.

• Define Audience Strategy & Monetization: Develop global audience segmentation strategies to optimize marketing performance and identify/execute opportunities for leveraging first-party data assets to generate revenue and competitive advantage.

• Executive Communication & Influence: Serve as the primary advocate for marketing data initiatives, presenting vision, impact, and progress to executive leadership and key stakeholders to build consensus and secure buy-in.

• Lead Change Management & Adoption: Spearhead organizational change efforts to embed data-driven marketing practices, ensure successful platform adoption, and promote transparency and information sharing.

• Leadership & Team Development: Provide strong leadership for the data activation and operations function, fostering professional development, high performance, and cross-functional collaboration across data, marketing, sales, and product teams.

📝 Enhancement Note: The responsibilities clearly indicate a senior leadership role focused on the strategic application of data within a large media organization. The emphasis on "data monetization" and "marketing ROI" directly links this role to revenue generation and efficiency, making it highly relevant to operations professionals.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience:

• 8+ years of progressive experience in digital marketing, marketing technology, or data product management, with significant experience operating at a strategic leadership level.

Required Skills:

• Data Strategy & Vision: Ability to define and articulate a long-term data vision for a complex organization.

• Customer Data Platform (CDP) & MarTech Expertise: Comprehensive understanding and strategic experience overseeing major CDPs (e.g., Segment, Tealium), DSPs, DMPs, Web Analytics, and Ad Servers, and their integration.

• Data Governance & Privacy Compliance: Deep knowledge of data governance frameworks and adherence to privacy regulations (GDPR, CCPA).

• Audience Segmentation & Activation: Expertise in developing global audience segmentation strategies to optimize marketing performance.

• Data Monetization: Proven ability to identify and execute opportunities for leveraging first-party data assets to generate revenue.

• Technical Acumen & Data Literacy: Strong understanding of data analysis techniques, data modeling, data visualization, and data quality principles.

• Analytical Tools Proficiency: Proficiency with SQL and BI tools (e.g., Tableau, Power BI) for guiding technical decisions and data interpretation.

• Portfolio & Project Management: Experience managing a portfolio of high-impact use cases and delivery pipelines (e.g., JIRA) with engineering teams.

• Executive Communication & Influence: Ability to present vision, impact, and progress to executive leadership and build consensus.

• Change Management: Experience leading organizational change efforts to embed data-driven practices and ensure platform adoption.

• Team Leadership & Development: Proven ability to lead, mentor, and develop teams, fostering professional growth and high performance.

Preferred Skills:

• Experience in the media and entertainment industry.

• Familiarity with data warehousing and ETL/ELT processes.

• Experience with A/B testing and experimental design for marketing initiatives.

• Knowledge of media buying and advertising technology.

📝 Enhancement Note: The "8+ years" experience combined with "significant experience operating at a strategic leadership level" and the preference for a Master's degree or equivalent executive experience strongly implies this is a senior individual contributor or a role with significant team leadership responsibilities, aligning with a "Sr. Director" title. The required skills are highly specific to operations and data strategy within a marketing context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Strategy Case Studies: Documented examples of developing and executing comprehensive data strategies for customer data ecosystems or marketing platforms, showcasing alignment with organizational goals.

• Platform Roadmap & Implementation: Evidence of managing the roadmap for key marketing data platforms (CDP, Media, Measurement), including successful feature rollouts and integration efforts.

• Data Governance & Compliance Frameworks: Examples of established data governance frameworks, including data standards and adherence to privacy regulations (GDPR, CCPA).

• Audience Segmentation & Monetization Initiatives: Demonstrations of successful audience segmentation strategies and specific opportunities identified and executed for data monetization, highlighting revenue impact.

• Change Management & Adoption Programs: Case studies detailing leadership in organizational change efforts to embed data-driven marketing practices and ensure successful platform adoption.

Process Documentation:

• Data Lifecycle Management: Detailed documentation of processes for managing the end-to-end lifecycle of first-party customer data, from ingestion and quality assurance to activation and analysis.

• Platform Integration Workflows: Documented workflows for integrating and optimizing the marketing technology stack, including CDPs, DSPs, DMPs, and analytics platforms.

• Agile Development & Delivery: Evidence of utilizing agile methodologies (e.g., JIRA) for managing delivery pipelines, including sprint planning, backlog management, and cross-functional team collaboration.

• Risk Management & Ethical Data Use: Processes for identifying, assessing, and mitigating risks associated with data integrity, privacy, and ethical data usage.

📝 Enhancement Note: For a role at this level, a portfolio is expected to showcase strategic thinking, leadership in complex projects, and quantifiable business impact. The focus should be on demonstrating the ability to manage large-scale data initiatives and drive organizational change.

💵 Compensation & Benefits

Salary Range: $195,000 - $235,000 annually (bonus & long-term incentive eligible).

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance.

• Retirement Savings: 401(k) plan.

• Work-Life Balance: Paid leave and tuition reimbursement.

• Perks & Discounts: A variety of employee discounts and perks.

Working Hours:

• 40 hours per week (standard).

• Hybrid Work Arrangement: Requires contributing from the office a minimum of three days per week, increasing to four days per week starting January 5, 2026. The company reserves the right to adjust in-office requirements.

📝 Enhancement Note: The salary range provided is competitive for a Sr. Director role in a major metropolitan area like New York City, especially within the media and technology sectors. The hybrid work model is clearly defined, with a significant increase in required office days in the near future, which is an important consideration for candidates evaluating work-life balance and location flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Media and Entertainment, with a strong focus on technology and data integration. NBCUniversal operates leading entertainment and news brands, theme parks, and a premium streaming service (Peacock).

Company Size: Large Enterprise (NBCUniversal is a subsidiary of Comcast Corporation). This implies a structured environment with extensive resources, cross-functional teams, and established processes, but also potential for navigating corporate complexities.

Founded: NBCUniversal was formed in 2004 through the merger of NBC and Vivendi Universal Entertainment, with roots tracing back to the early days of broadcast television. This history suggests a company that has evolved with technological shifts and is committed to innovation.

Team Structure:

• Data Activation and Operations Function: This role likely leads a dedicated team responsible for managing the customer data ecosystem, CDP, and related marketing platforms.

• Reporting Structure: The "Sr. Director" title suggests reporting to a VP or SVP level within Marketing, Data, or Technology departments.

• Cross-functional Collaboration: Close collaboration is expected with various departments including Marketing, Sales, Product Development, Engineering, Data Science, Legal (for compliance), and potentially Finance (for monetization and ROI).

Methodology:

• Data-Driven Decision Making: A core expectation is the application of data analysis and insights to inform marketing strategies and business decisions.

• Strategic Planning & Optimization: Emphasis on developing and executing strategic plans for data platforms and driving continuous improvement through process optimization.

• Agile & Iterative Development: Likely adoption of agile methodologies for platform development and feature rollouts, with a focus on iterative improvements and efficient resource utilization.

Company Website: https://www.nbcuniversal.com/

📝 Enhancement Note: Operating within a large media conglomerate like NBCUniversal means this role will influence how data is leveraged across a diverse portfolio of brands and products. The company's commitment to improving communities and fostering an inclusive culture suggests that ethical data practices and diversity in team composition will be valued.

📈 Career & Growth Analysis

Operations Career Level: Senior Director. This level signifies a strategic leadership position responsible for a critical function that directly impacts revenue generation and operational efficiency. It involves defining strategy, managing significant resources, and influencing executive-level decisions.

Reporting Structure: Typically reports into a Vice President or Senior Vice President within Marketing, Data, or Technology. The role will likely manage a team of product managers, program managers, and/or data operations specialists.

Operations Impact: This role has a profound impact on revenue by enabling more targeted and effective marketing campaigns, optimizing media spend, and identifying new data monetization opportunities. It drives operational efficiency by streamlining data processes, improving data quality, and ensuring the effective utilization of marketing technology.

Growth Opportunities:

• Executive Leadership: Potential to advance to VP or SVP levels within Data Strategy, Marketing Technology, or broader GTM operations.

• Specialization Deepening: Opportunity to become a recognized expert in data product management, CDP strategy, or data monetization within the media industry.

• Cross-Functional Leadership: Potential to lead broader GTM or digital transformation initiatives that leverage data and technology across the organization.

• Mentorship & Team Building: Develop leadership skills by building and mentoring a high-performing team, shaping the future talent pipeline for data and operations roles.

📝 Enhancement Note: A Sr. Director role in a company like NBCUniversal offers significant visibility and the opportunity to shape critical business functions. The growth path is clearly defined towards executive leadership, with ample opportunities for specialization and skill development in a rapidly evolving industry.

🌐 Work Environment

Office Type: Hybrid. This position requires a blend of remote work and in-office presence. The expectation is to be in the office 3 days per week, increasing to 4 days per week starting January 5, 2026.

Office Location(s): 30 Rockefeller Plaza, New York, NY. This iconic location provides access to a vibrant business environment and significant networking opportunities within the media industry.

Workspace Context:

• Collaborative Environment: The hybrid model encourages in-office days for team collaboration, executive meetings, and fostering company culture. Expect a dynamic workspace designed for both focused work and team interaction.

• Operations Tools & Technology: Access to a robust technology stack, including advanced data platforms, analytics tools, and collaboration software necessary for managing complex data products and strategies.

• Cross-Functional Team Interaction: Opportunities to engage with diverse teams across NBCUniversal, fostering a rich exchange of ideas and best practices in data utilization and marketing innovation.

Work Schedule:

• Standard 40-hour work week is typical, but the demands of a Sr. Director role may require flexibility to meet project deadlines and strategic objectives. The hybrid schedule offers some flexibility in managing personal and professional time.

📝 Enhancement Note: The shift to a 4-day in-office requirement in 2026 is a crucial detail for candidates assessing their long-term work preferences. The New York City location provides access to industry events and a dense network of professionals, which can be valuable for career development.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, experience alignment, and interest.

• Hiring Manager Interview: In-depth discussion with the hiring manager (likely a VP/SVP) focusing on strategic thinking, leadership experience, and specific examples of data strategy execution. Candidates should be prepared to discuss their approach to CDP, data governance, and team management.

• Panel Interviews: Meetings with key stakeholders from cross-functional teams (e.g., Marketing, Product, Engineering, Data Science). These interviews will assess collaboration skills, technical understanding, and ability to influence across departments. Expect scenario-based questions and discussions around past challenges.

• Portfolio Presentation: A crucial stage where candidates present their work, focusing on key achievements in data strategy, platform management, and driving measurable impact (ROI, data monetization).

• Executive Interview: A final interview with a senior executive (e.g., SVP, EVP) to assess strategic fit, executive presence, and alignment with NBCUniversal's vision.

Portfolio Review Tips:

• Quantify Impact: For each project or initiative, clearly articulate the business problem, your role, the solutions implemented, and most importantly, the measurable results (e.g., percentage increase in marketing ROI, revenue generated from data monetization, efficiency gains).

• Focus on Strategy & Leadership: Highlight your strategic thinking, decision-making process, and leadership in driving complex data initiatives. Showcase how you've influenced stakeholders and managed teams.

• Demonstrate Technical Depth: Be prepared to discuss the technical aspects of platforms (CDP, MarTech), data flows, and analytical techniques, but always tie them back to business objectives.

• Tailor to NBCUniversal: Research NBCUniversal's brands, products, and recent initiatives. Frame your experience and portfolio examples to demonstrate how you can solve their specific challenges and contribute to their strategic goals, especially within the media and entertainment context.

• Structure for Clarity: Organize your portfolio logically, perhaps by theme (e.g., Strategy Development, Platform Implementation, Data Monetization) or by key achievements. Use clear visuals and concise narratives.

Challenge Preparation:

• Strategic Case Study: Be prepared for a case study, likely involving a hypothetical scenario related to customer data activation, platform selection, or data monetization within a media company. Focus on outlining a strategic approach, key considerations, and potential outcomes.

• Data Governance Scenario: You might be asked to outline how you would establish or improve data governance and privacy compliance for a new data initiative.

• Stakeholder Management Challenge: Prepare to discuss how you would gain buy-in from different departments for a significant data platform investment or change.

📝 Enhancement Note: The emphasis on a portfolio presentation and the multi-stage interview process highlight the importance of demonstrating practical experience and strategic influence. Candidates should prepare to articulate their contributions with data and clearly link their work to business outcomes. The "in-person interview" requirement mentioned in additional information suggests that at least one stage may require travel.

🛠 Tools & Technology Stack

Primary Tools:

• Customer Data Platforms (CDPs): Extensive experience with major CDPs like Segment, Tealium, Adobe Experience Platform, or similar. Understanding their architecture, data ingestion capabilities, identity resolution, and audience segmentation features.

• Marketing Automation Platforms: Familiarity with platforms like Marketo, HubSpot, Salesforce Marketing Cloud for campaign execution.

• Data Warehousing & ETL/ELT: Proficiency with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and ETL/ELT tools for data integration and transformation.

• Project Management Tools: Experience with JIRA, Asana, or similar for managing delivery pipelines and agile workflows.

Analytics & Reporting:

• Business Intelligence (BI) Tools: Expertise in tools such as Tableau, Power BI, Looker for data visualization, dashboard creation, and performance reporting.

• Web Analytics: Deep understanding of tools like Google Analytics, Adobe Analytics for tracking website and app user behavior.

• SQL: Advanced proficiency for data querying, analysis, and guiding technical decisions.

CRM & Automation:

• Customer Relationship Management (CRM): Experience with Salesforce Sales Cloud or similar CRM systems, understanding how customer data is managed and utilized.

• Advertising Technology (AdTech): Knowledge of Demand-Side Platforms (DSPs), Data Management Platforms (DMPs), and Ad Servers (e.g., Google Ad Manager, The Trade Desk) for media activation and measurement.

📝 Enhancement Note: The specific mention of CDP examples (Segment/Tealium) and the broader categories of MarTech, DSPs, DMPs, and Ad Servers indicate that a deep technical understanding of the entire marketing technology stack is crucial for this role. Proficiency in SQL and BI tools is a baseline requirement for data analysis and reporting.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A strong commitment to using data for informed decision-making, strategy formulation, and performance measurement.

• Innovation & Agility: Encouraging the exploration of new technologies and methodologies to stay ahead in the dynamic media and entertainment landscape.

• Collaboration & Transparency: Fostering an environment where information is shared openly, and teams work together effectively across departmental lines.

• Customer Centricity: Placing the customer at the heart of all data strategies and activation efforts, aiming to deliver personalized and valuable experiences.

• Integrity & Compliance: Upholding the highest standards of data privacy, security, and ethical usage in all operations.

Collaboration Style:

• Cross-Functional Partnership: A proactive approach to building strong relationships and partnerships with Marketing, Sales, Product, Engineering, and Legal teams to ensure alignment and drive integrated strategies.

• Process Improvement Culture: Encouraging continuous feedback loops and iterative improvements to data processes, platforms, and activation methods.

• Knowledge Sharing & Mentorship: A culture that values sharing expertise, mentoring junior team members, and fostering a collective growth mindset within the data and operations functions.

📝 Enhancement Note: In a large media company, aligning diverse business units around data initiatives requires strong diplomacy and communication. The emphasis on collaboration and transparency suggests a culture that values teamwork and open dialogue to achieve shared objectives.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Silos & Integration: Navigating and integrating data from disparate systems across various NBCUniversal brands and platforms to create a unified customer view.

• Evolving Privacy Landscape: Staying ahead of changing global privacy regulations (GDPR, CCPA, etc.) and ensuring continuous compliance for all data practices.

• Balancing Innovation with Execution: Identifying and adopting cutting-edge data technologies while ensuring timely and successful implementation within a large enterprise framework.

• Driving Organizational Adoption: Overcoming resistance to change and embedding data-driven practices across a large, established organization with diverse business units.

• Demonstrating ROI of Data Initiatives: Clearly articulating and proving the business value and return on investment for data products, platforms, and monetization strategies.

Learning & Development Opportunities:

• Industry Conferences & Certifications: Opportunities to attend leading data, marketing technology, and media industry conferences, and pursue relevant certifications.

• Advanced Data & AI Training: Access to training programs focused on emerging data science techniques, AI applications in marketing, and advanced analytics.

• Leadership Development Programs: Participation in NBCUniversal's leadership development programs to hone strategic decision-making, executive presence, and team management skills.

• Mentorship: Opportunities to be mentored by senior leaders within NBCUniversal and to mentor emerging talent in data and operations roles.

📝 Enhancement Note: This role operates at the intersection of rapidly evolving technologies and consumer behavior in the media industry, presenting both significant challenges and immense learning opportunities. The company's investment in learning and development suggests a commitment to employee growth.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to developing a long-term data strategy for a media company with diverse revenue streams (advertising, subscriptions, theme parks)."

• "How would you prioritize the roadmap for a Customer Data Platform (CDP) that needs to serve multiple business units with varying needs?"

• "Walk me through a time you identified and executed a significant data monetization opportunity. What was the impact?"

Company & Culture Questions:

• "What do you see as the biggest data-related challenges and opportunities for NBCUniversal, given its position in the media and entertainment industry?"

• "How would you foster a data-driven culture across different brands and departments within NBCUniversal?"

Portfolio Presentation Strategy:

• Structure: Begin with an executive summary of your key achievements and impact. Then, detail 2-3 of your most impactful projects. For each project:

  • Business Problem: Clearly define the challenge or opportunity.
  • Your Role & Strategy: Explain your leadership and strategic approach.
  • Solution & Execution: Describe the platforms, processes, and technologies used.
  • Results & Impact: Quantify the business outcomes (e.g., revenue growth, cost savings, efficiency gains, audience engagement).

• Focus on Data Monetization & ROI: Since this is a key aspect of the role, ensure your portfolio highlights your ability to translate data assets into tangible revenue or competitive advantage.

• Demonstrate Technical & Strategic Balance: Show you can speak to both the strategic vision and the technical execution required for data product management.

• Prepare for Q&A: Anticipate questions about your decision-making process, challenges faced, and how you would apply your experience to NBCUniversal's specific context.

📝 Enhancement Note: The interview process will heavily weigh strategic thinking, leadership in complex environments, and the ability to demonstrate quantifiable business impact. Candidates should prepare specific examples that showcase their expertise in data strategy, platform management, and driving revenue through data.

📌 Application Steps

To apply for this operations position:

• Submit your application directly through the NBCUniversal careers portal via the provided URL.

• Resume Optimization: Tailor your resume to highlight your experience with CDPs, MarTech, data strategy, data governance, audience segmentation, and data monetization. Use keywords from the job description and emphasize quantifiable achievements.

• Portfolio Curation: Prepare a concise portfolio (e.g., a presentation deck) showcasing 2-3 key data strategy and product management projects. Focus on demonstrating strategic thinking, leadership, and measurable business impact, especially related to revenue generation and operational efficiency.

• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result) and prepare to discuss your strategic approach to data challenges, leadership style, and how you drive organizational change. Research NBCUniversal's brands and recent data initiatives.

• Company Research: Deeply understand NBCUniversal's business segments, competitive landscape, and any public statements regarding their data and digital strategy. This will enable you to ask insightful questions and tailor your responses effectively.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.