Senior Product Manager, Data Products
Senior Product Manager, Data Products

Senior Product Manager, Data Products

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the transformation of data assets and develop innovative advertising solutions.
  • Company: Join LG Ad Solutions, a leader in connected TV and cross-screen advertising.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Why this job: Make an impact in the ad-tech space with cutting-edge data management and AI technologies.
  • Qualifications: 3+ years in ad-tech and product management, strong leadership and communication skills.
  • Other info: Dynamic team culture with a focus on innovation and excellence.

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

About Us

LG Ad Solutions is a global leader in connected TV (CTV) and cross‑screen advertising. We pride ourselves on delivering state‑of‑the‑art advertising solutions that integrate seamlessly with today’s ever‑evolving digital media landscape.

Location: London, New York or Denver (in office 1–2 days a week)

Opportunity

We are seeking a Senior Product Manager to join our Data Products team. The successful candidate will play a pivotal role in managing and transforming our data assets, including ACR data collection, scaling international collection, enabling data sales, and ensuring data can be used to drive the next generation of multiple advertising solutions. This role requires a deep understanding of data management, governance, ACR (automatic content recognition) and the applications in machine learning (ML) to optimize our ad stack.

Responsibilities

  • ACR Data Pipeline Strategy Development: Define and execute a comprehensive ACR data strategy that aligns with business objectives and product vision.
  • Data Governance: Establish robust data governance frameworks to ensure data quality, integrity, and compliance.
  • Product Management: Oversee the development and management of data products, including data types, formats, and potential use cases in reporting products and other downstream applications.
  • Cross‑functional Collaboration: Work closely with engineering teams to make data accessible across the organization and drive data integration into various product lines.
  • Vision for ML and AI: Develop and implement a vision for leveraging ML technologies to process data and enhance the ad stack. Evaluate and implement the use of Agentic AI applied to data processing and insight, decision‑making in the ad stack.
  • Stakeholder Engagement: Engage with internal and external stakeholders to understand data needs and ensure the delivery of valuable data solutions in the areas of ID graph, reporting, and ad stack, and internal Data Sales teams.
  • Team Leadership: Lead and mentor a future team of product managers, fostering a culture of innovation and excellence.

Requirements

  • Experience: Minimum of 3 years in the ad‑tech space (such as ACR, CTV, streaming content, online display, and/or video media industries) with a combination of 3 years experience in product management.
  • Expertise: Expertise in managing and mentoring more junior product team members to deliver data‑driven solutions in Agile Product Management processes.
  • Technical Skills: Strong understanding of data management, data analysis, data governance, and data integration technologies. Experience with AWS and Databricks.
  • Leadership: Demonstrated leadership skills with the ability to inspire and guide teams towards achieving strategic goals.
  • Communication: Excellent communication and stakeholder management skills.
  • Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Master’s preferred or equivalent work experience.
  • AI Agentic Skills: Practical expertise in implementing and leveraging AI Agentic technologies. For example previous product experience leveraging technologies in existing workflows or to improve existing workflows.

LG Ad Solutions is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or protected veteran status and will not be discriminated against based on disability. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.

Senior Product Manager, Data Products employer: LG Ad Solutions

At LG Ad Solutions, we foster a dynamic and inclusive work culture that prioritises innovation and collaboration, making it an exceptional employer for those looking to make a significant impact in the ad-tech industry. With opportunities for professional growth and mentorship within our Data Products team, employees benefit from a supportive environment that encourages creativity and the application of cutting-edge technologies like machine learning and AI. Located in vibrant cities such as London, New York, or Denver, our team enjoys a flexible work arrangement that balances in-office collaboration with remote work, enhancing both productivity and work-life harmony.
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Contact Detail:

LG Ad Solutions Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks in the ad-tech space, especially those who work with data products. A casual chat can lead to opportunities you might not find on job boards.

✨Tip Number 2

Show off your expertise! When you get the chance to meet potential employers, be ready to discuss your experience with ACR and data management. Make it clear how you can add value to their team.

✨Tip Number 3

Don’t just apply anywhere; apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining us.

✨Tip Number 4

Prepare for interviews by brushing up on your knowledge of machine learning and AI technologies. Be ready to discuss how you can leverage these tools to enhance advertising solutions.

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

Data Management
Data Governance
ACR (Automatic Content Recognition)
Machine Learning (ML)
Data Analysis
Data Integration Technologies
AWS
Databricks
Agile Product Management
Stakeholder Management
Team Leadership
Communication Skills
AI Agentic Technologies
Cross-functional Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Product Manager role. Highlight your experience in ad-tech and data management, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring your unique skills to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data products and how your background aligns with our mission at LG Ad Solutions. Keep it engaging and personal – we love a good story!

Showcase Your Technical Skills: Don’t shy away from listing your technical skills, especially those related to data management and governance. If you’ve worked with AWS or Databricks, make sure to mention it! We’re looking for someone who can hit the ground running.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at LG Ad Solutions

✨Know Your Data Inside Out

As a Senior Product Manager, you'll need to demonstrate a deep understanding of data management and governance. Brush up on ACR data collection and how it integrates with machine learning. Be ready to discuss specific examples of how you've used data to drive product decisions in the past.

✨Showcase Your Leadership Skills

This role involves leading and mentoring a team, so be prepared to share your leadership experiences. Think of instances where you've inspired your team or navigated challenges. Highlight your ability to foster a culture of innovation and excellence.

✨Engage with Stakeholders

Stakeholder engagement is key in this position. Prepare to talk about how you've successfully collaborated with different teams in the past. Bring examples of how you’ve gathered data needs from stakeholders and translated them into actionable solutions.

✨Demonstrate Your Technical Savvy

Familiarity with AWS, Databricks, and AI technologies is crucial. Be ready to discuss your technical skills and how you've applied them in previous roles. If you have experience with Agentic AI, make sure to highlight that as well!

Senior Product Manager, Data Products
LG Ad Solutions
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