Sr. Director, Data Product & Strategy

📍 Job Overview

Job Title: Sr. Director, Data Product & Strategy

Company: NBCUniversal

Location: 30 Rockefeller Plaza, New York, NY 10112, United States

Job Type: Full-time

Category: Data Product & Strategy / Revenue Operations

Date Posted: March 20, 2026

Experience Level: 8+ years (with significant strategic leadership)

Remote Status: Hybrid (minimum 3 days/week in office, increasing to 4 days/week from Jan 5, 2026)

🚀 Role Summary

• Lead the development and execution of an enterprise-wide Customer Data and Activation Platform strategy, encompassing governance, data quality, strategic audience segmentation, monetization, and activation.

• Define the long-term vision for audience data products and platforms, including Customer Data Platforms (CDPs), Media, and Measurement systems, to drive data-driven marketing.

• Manage a portfolio of high-impact use cases and lead organizational change to ensure maximum ROI from marketing efforts.

• Own the holistic lifecycle of first-party customer data across the data activation ecosystem, ensuring ethical use and compliance with privacy regulations.

• Serve as the primary advocate for marketing data initiatives, presenting vision, impact, and progress to executive leadership and key stakeholders.

📝 Enhancement Note: This role bridges the gap between data infrastructure, product strategy, and commercialization, indicating a strong focus on Revenue Operations principles. The "Data Product & Strategy" title, combined with responsibilities like "monetization" and "ROI," suggests a strategic approach to leveraging data assets for business growth and revenue generation, aligning it with advanced Revenue Operations functions.

📈 Primary Responsibilities

• Data Strategy Development: Define a comprehensive data vision for the Customer Data Ecosystem and marketing platforms that aligns with organizational goals and competitive trends, translating strategic objectives into actionable plans for data activation and marketing technology.

• Governance and Compliance Oversight: Own the data governance framework for all first-party customer data, including defining core data standards and ensuring adherence to privacy regulations (GDPR, CCPA). Implement risk management practices to safeguard data integrity and ethical use.

• Platform Roadmap & Portfolio Management: Oversee the marketing data ecosystem (CDP, Media, Measurement), managing the roadmap for data ingestion, ETL/ELT enhancements, and feature rollouts. Lead cross-functional prioritization sessions and manage delivery pipelines (e.g., JIRA) with engineering teams.

• Innovation and Continuous Improvement: Research emerging data technologies and trends to maintain a cutting-edge marketing data ecosystem and drive adoption of innovative solutions that improve data quality, integration, and activation capabilities.

• Audience Strategy & Monetization: Define global audience segmentation strategies to optimize marketing performance and identify/execute opportunities for data monetization, 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, building consensus and securing buy-in for strategic priorities.

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

• Leadership & Team Development: Provide strong leadership for the data activation and operations function, including team growth and capability building, mentoring and coaching team members, and encouraging collaboration across data teams and business units.

📝 Enhancement Note: The responsibilities highlight a blend of strategic vision, technical oversight, and people management. The emphasis on "data activation ecosystem," "monetization," and "ROI" strongly positions this role within the Revenue Operations domain, focusing on how data products directly contribute to revenue generation and efficiency. The mention of JIRA indicates a need for agile project management within a structured product development lifecycle.

🎓 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.

• Significant experience operating at a strategic leadership level.

Required Skills:

• Comprehensive understanding and strategic experience overseeing major Customer Data, Media, and Measurement Platforms (e.g., CDP like Segment/Tealium, DSPs, DMPs, Web Analytics, Ad Servers) and their complex integration across the marketing technology stack.

• Technical Expertise and Data Literacy including a comprehensive understanding of data analysis techniques, data modeling, data visualization, and data quality.

• Proficiency with analytical tools (SQL, BI tools) for guiding technical decisions.

• Strong understanding of data governance principles and privacy regulations (GDPR, CCPA).

• Experience with roadmap management and delivery pipelines (e.g., JIRA).

• Executive-level communication, presentation, and influencing skills.

• Change management expertise to drive organizational adoption.

Preferred Skills:

• Experience in the media and entertainment industry.

• Familiarity with data monetization strategies.

• Hands-on experience with specific CDP platforms like Segment or Tealium.

• Knowledge of advanced analytics and machine learning applications in marketing.

📝 Enhancement Note: The qualifications emphasize a blend of strategic product thinking, deep technical understanding of marketing technology stacks, and strong leadership acumen. The requirement for "significant experience operating at a strategic leadership level" and "vision casting" points to a role that not only manages operations but also shapes future direction. The explicit mention of "SQL, BI tools," "data analysis techniques," and "data modeling" highlights the analytical rigor expected.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Product Vision & Strategy: Showcase examples of developing and executing long-term data product roadmaps that align with business objectives and drive measurable outcomes.

• Customer Data Platform (CDP) Implementation & Optimization: Present case studies demonstrating experience with CDPs (e.g., Segment, Tealium), including data ingestion, audience segmentation, activation, and governance. Highlight improvements in data quality or activation efficiency.

• Marketing Technology Stack Integration: Illustrate successful integration of various marketing technology components (CDP, DSPs, DMPs, Ad Servers, Web Analytics) to create a cohesive and efficient data activation ecosystem.

• Data Monetization & ROI Demonstration: Provide examples of initiatives that leveraged first-party data to generate revenue or create competitive advantages, with clear metrics demonstrating ROI.

• Data Governance & Compliance Frameworks: Document experience in establishing and enforcing data governance policies, ensuring compliance with regulations like GDPR and CCPA, and managing data risk.

Process Documentation:

• Workflow Design and Optimization: Demonstrate ability to map, analyze, and optimize complex data workflows, from data ingestion and transformation to audience activation and reporting.

• Agile Development & Delivery: Showcase experience with agile methodologies, including managing delivery pipelines using tools like JIRA, for data product development and feature rollouts.

• Performance Measurement & Reporting: Detail processes for defining KPIs, tracking performance against strategic objectives, and creating insightful reports for executive stakeholders.

📝 Enhancement Note: For a role at this level, a portfolio is crucial. It should not just list projects but demonstrate strategic thinking, problem-solving, and quantifiable impact. The focus should be on how the candidate has built or significantly improved data products and platforms, leading to tangible business results, especially revenue growth or efficiency gains, aligning with Revenue Operations principles.

💵 Compensation & Benefits

Salary Range: $195,000 - $235,000 USD per year (bonus & long-term incentive eligible)

Benefits:

• Medical Insurance

• Dental Insurance

• Vision Insurance

• 401(k) plan

• Paid Leave

• Tuition Reimbursement

Working Hours:

• Standard full-time hours (typically 40 hours/week).

• Hybrid work arrangement requiring a minimum of 3 days per week in the office, increasing to 4 days per week from January 5, 2026. The company reserves the right to change in-office requirements at any time.

📝 Enhancement Note: The salary range provided is competitive for a Senior Director-level role in a major metropolitan area like New York City, especially within a large media conglomerate. The inclusion of bonus and long-term incentives suggests a performance-driven compensation structure, common for executive roles focused on strategic growth and revenue impact. The hybrid model reflects a post-pandemic work environment, balancing flexibility with in-person collaboration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Media and Entertainment, Broadcasting, Streaming Services, Theme Parks, Consumer Products. NBCUniversal is a subsidiary of Comcast Corporation.

Company Size: Large Enterprise (part of Comcast Corporation, a global leader in media and technology).

Founded: 2004 (NBCUniversal was formed by the merger of NBC and Vivendi Universal).

Team Structure:

• This role likely sits within a broader Data & Analytics or Marketing Technology organization, reporting to a VP or SVP level.

• The team will include data product managers, data strategists, and potentially liaisons with engineering, data science, and business intelligence teams.

Methodology:

• Data-Driven Decision Making: Strong emphasis on leveraging data to inform strategy, optimize marketing performance, and drive business outcomes.

• Agile Development: Use of agile methodologies for platform development and feature rollouts, likely managed through tools like JIRA.

• Cross-Functional Collaboration: Encouragement of close partnerships between technical teams (data, engineering) and business units (marketing, sales) to ensure alignment and effective execution.

• Innovation and Continuous Improvement: A culture that encourages research into emerging technologies and the adoption of new solutions to maintain a competitive edge.

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

📝 Enhancement Note: NBCUniversal's diverse media empire provides a rich and complex data landscape. A candidate must be comfortable navigating large, matrixed organizations and driving strategic initiatives across various business segments. The company's emphasis on community improvement and inclusive culture suggests that values alignment will be a key consideration.

📈 Career & Growth Analysis

Operations Career Level: This is a senior leadership role (Sr. Director), indicating significant responsibility for strategic direction, team management, and cross-functional influence. It's a critical position for shaping how data is leveraged for commercial success.

Reporting Structure: Typically reports to a Vice President (VP) or Senior Vice President (SVP) within Data, Analytics, or Marketing Technology functions. This role will manage a team and have direct interaction with C-suite executives.

Operations Impact: The core function of this role is to directly impact revenue through data monetization, optimization of marketing spend, and enhancement of customer engagement strategies. It’s a pivotal role in the company’s Go-To-Market (GTM) strategy.

Growth Opportunities:

• Executive Leadership: Potential to advance to VP or SVP levels within Data, Analytics, or broader Marketing/Product organizations.

• Strategic Influence: Opportunity to shape company-wide data strategy and influence major business decisions impacting revenue and customer engagement.

• Specialization & Breadth: Deepen expertise in data product management, customer data platforms, and data monetization, or broaden scope into enterprise data strategy or digital transformation leadership.

• Industry Recognition: Leading innovative data initiatives at a company like NBCUniversal can lead to industry recognition and thought leadership opportunities.

📝 Enhancement Note: This role is positioned at a level where strategic impact and leadership are paramount. Growth opportunities are geared towards executive leadership, with the potential to influence company-wide data strategy and contribute significantly to revenue-generating initiatives. The role serves as a strong stepping stone for those aiming for Chief Data Officer (CDO) or similar executive positions.

🌐 Work Environment

Office Type: Hybrid work environment with a significant in-office component (minimum 3 days/week, increasing to 4 days/week). This suggests a collaborative office culture at their 30 Rockefeller Plaza location.

Office Location(s): 30 Rockefeller Plaza, New York, NY. This is a prime location in Manhattan, offering a vibrant and accessible work environment.

Workspace Context:

• Collaborative Hub: The office space likely fosters collaboration, with meeting rooms, shared workspaces, and areas for impromptu discussions, crucial for cross-functional teams.

• Technology-Rich: As a major media company, expect a modern technology infrastructure supporting data analysis, collaboration, and presentation tools.

• Team Interaction: The hybrid model necessitates intentional interaction, encouraging team meetings, brainstorming sessions, and relationship-building during in-office days.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week).

• The hybrid model requires structured in-office days which can be beneficial for team alignment and focused work sessions, while also offering flexibility for remote work and personal balance.

📝 Enhancement Note: The specified hybrid requirement means candidates must be comfortable commuting to New York City and working from the office regularly. This environment is designed for a blend of focused individual work and collaborative team engagement, essential for driving complex data strategies and fostering innovation.

📄 Application & Portfolio Review Process

Interview Process:

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

• Hiring Manager Interview: In-depth discussion with the hiring manager to evaluate strategic thinking, leadership capabilities, and alignment with role responsibilities. Expect behavioral and situational questions.

• Panel Interviews: Meetings with key stakeholders and team members (e.g., Data Scientists, Engineering Leads, Marketing Directors) to assess technical depth, collaboration style, and cross-functional communication skills.

• Executive Presentation/Case Study: A common step for senior roles. Candidates may be asked to present a strategic plan, analyze a business problem, or walk through a significant past project from their portfolio. This will likely focus on data strategy, product vision, or platform implementation.

• Final Round: Potentially with a VP/SVP to confirm strategic alignment and cultural fit.

Portfolio Review Tips:

• Strategic Narrative: For each project, clearly articulate the business problem, your strategic approach, the data and technology leveraged, your role, the execution process, and the measurable business impact (especially revenue or efficiency gains).

• Data Product Focus: Highlight your experience with the entire data product lifecycle, from ideation and strategy to development, launch, and ongoing optimization. Emphasize CDP, media, and measurement platforms.

• Quantifiable Results: Use specific metrics (e.g., % increase in conversion rates, $ revenue generated from data monetization, % improvement in data quality, reduction in marketing spend efficiency) to demonstrate ROI.

• Process & Governance: Showcase your ability to manage complex projects, implement robust data governance, and ensure compliance with privacy regulations.

• Visual Aids: Use clear visuals, diagrams, and dashboards to illustrate complex concepts and data insights.

Challenge Preparation:

• Data Strategy Case: Be prepared to outline a data strategy for a given business scenario, focusing on customer data activation, audience segmentation, and monetization.

• Platform Vision: Articulate your vision for a modern Customer Data Ecosystem, including key components, integration needs, and future trends.

• Leadership & Change Management: Prepare examples demonstrating how you’ve led teams, driven organizational change, and influenced stakeholders for data-driven initiatives.

📝 Enhancement Note: For this Sr. Director role, the interview process will be rigorous, focusing heavily on strategic impact, leadership, and the ability to translate data into revenue. A well-curated portfolio is essential, serving as the foundation for demonstrating expertise in data product strategy and its commercial application. The emphasis on "data monetization" and "ROI" means candidates should be ready to quantify their contributions.

🛠 Tools & Technology Stack

Primary Tools:

• Customer Data Platforms (CDP): Segment, Tealium (or similar enterprise-grade CDPs).

• Data Warehousing & ETL/ELT: Experience with data pipelines, data ingestion, and transformation processes. Proficiency with SQL is a must.

• Analytics & Business Intelligence (BI) Tools: Tableau, Power BI, Looker, or similar for data analysis, visualization, and reporting.

• Project Management Tools: JIRA, Asana, Trello for managing delivery pipelines and cross-functional projects.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics.

• Ad Servers: Google Ad Manager, Freewheel, or similar.

• Data Visualization: Tools for creating executive-level dashboards and reports to communicate strategy and impact.

CRM & Automation:

• While not explicitly mentioned, familiarity with CRM systems (e.g., Salesforce) and marketing automation platforms (e.g., Marketo, Adobe Marketing Cloud) is beneficial due to their integration with data activation ecosystems.

• DSPs/DMPs: Experience with Demand-Side Platforms and Data Management Platforms is relevant for media activation.

📝 Enhancement Note: The technology stack emphasizes a robust data ecosystem, with CDPs, analytics tools, and project management software being central. Proficiency in SQL and BI tools is non-negotiable for data analysis and guiding technical decisions. Understanding the integration between these components is key to success in this role.

👥 Team Culture & Values

Operations Values:

• Data-Driven Excellence: A commitment to using data rigorously to inform decisions, optimize processes, and measure impact, particularly on revenue and customer engagement.

• Innovation & Forward-Thinking: A proactive approach to exploring and adopting new technologies and methodologies to maintain a competitive edge in the data and marketing landscape.

• Collaboration & Partnership: A strong emphasis on working effectively across diverse teams (Data, Engineering, Marketing, Sales, Product) to achieve shared goals.

• Accountability & Ownership: Taking full responsibility for the data product lifecycle, from strategy and development to governance and activation, with a focus on delivering tangible business results.

• Ethical Data Use & Compliance: Upholding the highest standards of data privacy, security, and ethical application, ensuring adherence to regulations like GDPR and CCPA.

Collaboration Style:

• Cross-Functional Integration: Facilitating seamless integration between data teams and business units to ensure data products and strategies meet practical business needs.

• Transparent Communication: Maintaining open and clear communication channels across all levels and departments, especially when presenting complex data strategies or advocating for new initiatives.

• Feedback-Driven Improvement: Fostering an environment where feedback is actively sought and incorporated into continuous process and platform improvements.

• Strategic Alignment: Ensuring all data product efforts are tightly aligned with overarching business objectives and revenue goals.

📝 Enhancement Note: The culture at NBCUniversal, especially within a strategic role like this, will likely value innovation, collaboration, and a results-oriented mindset. Candidates should demonstrate an understanding of how data products directly contribute to business growth and revenue, aligning with a proactive and data-centric approach to operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Complex Organization: Working within a large, diverse media conglomerate like NBCUniversal presents challenges in aligning stakeholders across numerous business units and legacy systems.

• Data Governance & Privacy: Ensuring consistent adherence to evolving data privacy regulations (GDPR, CCPA) across a vast data ecosystem requires constant vigilance and robust processes.

• Platform Integration Complexity: Integrating and managing a complex marketing technology stack, including CDPs, DSPs, DMPs, and measurement systems, can be technically challenging.

• Driving Organizational Change: Shifting an organization towards more data-driven marketing practices requires effective change management, stakeholder buy-in, and continuous education.

• Data Monetization Execution: Successfully identifying and executing opportunities for data monetization while maintaining ethical standards and customer trust.

Learning & Development Opportunities:

• Cutting-Edge Technologies: Exposure to and leadership in implementing advanced data products, AI/ML applications in marketing, and emerging data platforms.

• Strategic Influence: Opportunity to shape enterprise-level data strategy and impact business decisions across a leading media company.

• Industry Leadership: Potential to become a thought leader in data product management, customer data strategy, and data monetization within the media and entertainment sector.

• Cross-Functional Expertise: Deepen understanding of various business units within NBCUniversal, enhancing ability to drive integrated GTM strategies.

• Mentorship and Team Building: Develop leadership skills by mentoring and growing a high-performing data activation and operations team.

📝 Enhancement Note: This role offers significant opportunities for growth by tackling complex challenges in a dynamic industry. The ability to navigate organizational complexities, drive strategic change, and leverage data for revenue generation will be key to success and career advancement.

💡 Interview Preparation

Strategy Questions:

• "How would you define the long-term vision for NBCUniversal's Customer Data Ecosystem, considering our diverse business units (film, TV, streaming, parks)?"

• "Describe a time you developed and executed a data strategy that led to significant revenue growth or improved marketing ROI. What were the key components and outcomes?"

• "How would you approach identifying and executing opportunities for data monetization within a large media company, ensuring ethical practices and compliance?"

• "Outline your strategy for implementing and managing a robust data governance framework for first-party customer data, considering GDPR and CCPA."

Company & Culture Questions:

• "What excites you most about NBCUniversal's position in the media and entertainment industry, and how do you see data product strategy contributing to its future success?"

• "How would you foster a data-driven culture and drive adoption of new data platforms across different departments within NBCUniversal?"

• "Describe your leadership style and how you build and mentor high-performing teams in a data-focused environment."

Portfolio Presentation Strategy:

• Structure: Use a STAR method (Situation, Task, Action, Result) for each case study.

• Quantify Impact: Clearly present metrics demonstrating ROI, revenue generation, efficiency gains, or strategic advancements. For example: "Implemented a new audience segmentation strategy via our CDP, resulting in a 15% increase in conversion rates for targeted campaigns and $X million in attributed revenue."

• Visual Clarity: Use clear, concise slides with diagrams illustrating platform architecture, data flows, and key insights. Avoid overly technical jargon unless necessary.

• Focus on Strategy: Emphasize the strategic thinking behind your decisions, not just the technical execution.

• Tailor to NBCUniversal: Where possible, draw parallels to the media and entertainment industry or the specific challenges NBCUniversal might face.

📝 Enhancement Note: Preparation should focus on demonstrating strategic leadership, a deep understanding of data products and platforms, and a proven ability to drive revenue and business impact. Be ready to discuss specific technologies, data governance, and change management strategies in detail.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the smartrecruiters job board.

• Tailor Your Resume: Highlight experience with Customer Data Platforms (CDPs), data strategy, data product management, marketing technology, audience segmentation, and data monetization. Quantify achievements with specific metrics and business impact.

• Prepare Your Portfolio: Curate 2-3 key projects that demonstrate your strategic leadership, experience with complex data ecosystems, and ability to drive revenue. Focus on quantifiable results and your role in vision casting, strategy execution, and platform management.

• Research NBCUniversal: Understand their various business segments (film, TV, streaming, parks) and recent strategic initiatives. Consider how data strategy can support these diverse areas.

• Practice Your Pitch: Be ready to articulate your vision for data product strategy at NBCUniversal and walk through your portfolio highlights concisely and impactfully.

⚠️ 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.