Data Product Manager, Product Analytics
Data Product Manager, Product Analytics

Data Product Manager, Product Analytics

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data-driven product decisions and collaborate with teams to enhance user experiences.
  • Company: Join NBCUniversal, a leader in media with iconic brands like Peacock and NBC.
  • Benefits: Enjoy a culture of respect, innovation, and opportunities for growth.
  • Why this job: Make a real impact on customer experience and business outcomes worth over $200M annually.
  • Qualifications: Bachelor's degree in computer science or related field; experience in product or data management required.
  • Other info: Ideal for creative problem-solvers passionate about data and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

NBCUniversal is looking for a detail-oriented Data Product Manager As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset.Bringing in-depth data understanding to the team, you will play a key role in owning, managing and supporting the data across the underlying systems and technology stack.The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer experience and are tied to business outcomes worth more than $200M of incremental value added per year.

The successful candidate will need to be agile delivery focused and have a broad data background across requirements, data engineering, data governance and clickstream analytics. Comfortable working with demanding stakeholders in a complex, fast paced environment.

Responsibilities include, but are not limited to:

  • Work closely with the product analytics, experimentation and data engineering team; provide data expertise into the definition of data requirements through user stories to inform the scope and design of data needs, planning and being available for technical inquiries and support.
  • Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation).
  • Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner.
  • Work with the data teams to ensure data and metrics are accurate and reliable, maintain a roadmap of prioritized improvements to the data set and program manage crossfunctional projects.
  • Act as the “data domain” expert across Decision Science and the wider D2C stakeholder community.
  • Comfortable with utilising SQL and other tools to explore and deeply understand the data.
  • Adopt and advocate for a data-as-a-product mindset while evangelizing the utilization of data and advanced analytics to inform critical business decisions
  • Understand the product vision, both from a business and data perspective
  • Work closely with a cross-functional delivery team, data architects, data analysts, product and project management teams to collaboratively defining roadmaps, requirements and solutions.
  • Work with the Data Governance team to make sure the integrity and utilization of data adheres to NBCU’s data governance standards and processes, ensuring fitness of data elements

Qualifications

  • Bachelor’s degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired.
  • Experience working as a Product or Data Engineering Manager role overseeing clickstream/product data.
  • Experience operating in a large, complex organisation and managing the demands of mulriple stakeholders.
  • Detail and results oriented, able to write detailed specs and analyze data to justify product decisions, and apply key learnings.
  • Strong understanding of clickstream data and product instrumentation/tagging strategy
  • Ability to manipulate and analyse data using tools like SQL, R or Python.
  • Excellent written and verbal communication skills. Ability to communicate and coordinate between teams.
  • Excellent influencing and negotiation skills – ability to manage expectations.
  • Strong problem-solving skills and ability to logically analyze complex requirements, data sets, processes and systems.
  • Excellent organizational skills that will allow you to deal with uncertainty by creating structure and prioritizing effectively.
  • Experience of working in an agile environment.

Desired Characteristics:

  • Problem solving skills with experience collaborating with data scientists, engineers and analysts to derive insights for informed decision making.
  • Passionate about data and evangelical about it’s role in driving better business decisions.
  • Creative problem-solver; takes a high level of initiative, has a strong sense of personal accountability to follow-through at all times.
  • Demonstrates organizational savvy by successfully navigating complex, highly matrixed and decentralized organization.
  • Takes an informed and inspired view to deliver superior results by creating value and opportunity.
  • Not afraid to challenge and comfortable expressing their opintions while also being receptive to the views of others.

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Data Product Manager, Product Analytics employer: WeAreTechWomen

At NBCUniversal, we pride ourselves on fostering a collaborative and innovative work environment where every team member is valued and respected. As a Data Product Manager in our vibrant Media Group, you will have the opportunity to drive impactful data initiatives that enhance consumer experiences across renowned brands like Peacock and NBC Sports. With a strong emphasis on employee growth, we offer continuous learning opportunities and a culture that encourages authenticity and creativity, making us an exceptional employer for those seeking meaningful and rewarding careers.
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Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Product Manager, Product Analytics

✨Tip Number 1

Familiarise yourself with the specific data tools mentioned in the job description, such as SQL, R, and Python. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.

✨Tip Number 2

Understand the concept of 'data-as-a-product' and be ready to discuss how you can advocate for this mindset within a team. Prepare examples of how you've successfully implemented similar strategies in past roles.

✨Tip Number 3

Research NBCUniversal's current products and their analytics needs. Being knowledgeable about their brands like Peacock and NBC Sports will help you tailor your conversations and show genuine interest in their operations.

✨Tip Number 4

Prepare to discuss your experience in managing stakeholder expectations, especially in complex environments. Think of specific instances where you successfully navigated challenges and how that could apply to the role at NBCU.

We think you need these skills to ace Data Product Manager, Product Analytics

Data Analysis
SQL
R or Python Programming
Clickstream Analytics
Data Governance
Product Management
Stakeholder Management
Agile Methodologies
Technical Specification Writing
Communication Skills
Problem-Solving Skills
Organisational Skills
Collaboration with Cross-Functional Teams
Data-as-a-Product Mindset
Experimentation and A/B Testing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data product management, particularly focusing on your background in clickstream analytics and data governance. Use specific examples that demonstrate your ability to manage complex data sets and work with cross-functional teams.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives business decisions. Mention your experience in agile environments and your ability to communicate effectively with stakeholders. Be sure to align your skills with the responsibilities outlined in the job description.

Showcase Technical Skills: Highlight your proficiency in SQL, R, or Python within your application. Provide examples of how you've used these tools to manipulate and analyse data, as this is crucial for the Data Product Manager role.

Demonstrate Problem-Solving Abilities: Include instances where you've successfully navigated complex requirements or challenges in previous roles. This will showcase your problem-solving skills and your ability to deliver results in a fast-paced environment, which is essential for this position.

How to prepare for a job interview at WeAreTechWomen

✨Understand the Data Landscape

Before your interview, make sure you have a solid grasp of the data landscape relevant to the role. Familiarise yourself with clickstream data, product instrumentation, and how these elements impact business decisions. This will help you demonstrate your expertise and show that you're ready to hit the ground running.

✨Prepare for Technical Questions

Expect to be asked about your experience with SQL, R, or Python. Brush up on your technical skills and be prepared to discuss specific projects where you've used these tools to analyse data. Being able to articulate your thought process and problem-solving approach will impress your interviewers.

✨Showcase Your Stakeholder Management Skills

Given the role's emphasis on working with multiple stakeholders, prepare examples that highlight your ability to manage expectations and communicate effectively. Think of situations where you've successfully navigated complex requirements and delivered results, as this will showcase your organisational savvy.

✨Emphasise Your Agile Experience

Since the job requires experience in an agile environment, be ready to discuss how you've contributed to agile teams in the past. Share specific examples of how you've adapted to changing priorities and collaborated with cross-functional teams to achieve project goals.

Data Product Manager, Product Analytics
WeAreTechWomen
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  • Data Product Manager, Product Analytics

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-08-01

  • W

    WeAreTechWomen

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