Senior Data Product Manager - Fully Remote

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Pluto TV, a ViacomCBS company, is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. Pluto TV is available on all mobile, web and connected TV streaming devices and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, Pluto TV has offices in New York, Silicon Valley, Chicago and Berlin.

Who We Are

Pluto TV, a ViacomCBS company, is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. Pluto TV is available on all mobile, web, and connected TV streaming devices and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, Pluto TV has offices in New York, Silicon Valley, Chicago, and Berlin.

Summary:

The Senior Data Product Manager will be responsible for managing and coordinating all parallel data engineering initiatives with the other teams. The ideal candidate will need to have experience handling multiple work streams and should have experience working with data teams. You will own the Data Engineering backlog and help coordinate all the efforts around data-related requirements from other teams and effectively communicate open project risks and dependencies to other teams. This role is fully remote!

Responsibilities Include:

Working with the Data Engineering team which is responsible for managing all data feeds and collecting analytical streaming data from all of Pluto TV client software. This is a very fast-paced environment dealing with dynamic requirements, very large volume, and high velocity of data. You must have strong analytical and problem-solving skills and strong organizational and prioritization skills. This is a critical role with a wide range of responsibilities, including:

• Authoring and owning product requirements and working closely with stakeholders
• Working with the PMO to prioritize requests
• Working with department heads and stakeholders to build trust and socialize what the Data engineering team delivers to support business goals
• Engaging directly with data engineers to build actionable and scalable data products to support business goals
• Understanding the architecture of the different subsystems of data engineering
• Help with managing KPIs that drive the Data Engineering team's performance.

Qualities / Experience We’re Seeking

We believe the right individual will have the following skills and experience to be successful in this role:

• 7+ years of experience as a data or BI product manager on data platform development, BI products and programs, and/or data applications (preferably related to streaming data)
• Bachelor’s degree (preferably in Engineering or Information Management) or related discipline preferred
• Solid track record of technical acumen, being able to quickly understand technical details of a product or platform
• Experience with SQL, Excel, and knowledge of big data / complex data sets required
• Experience with AI/ML and data science techniques applied to data engineering preferred
• Excellent problem-solving skills and solutions-oriented, eagerness to get hands-on and into the details
• Skilled in Agile project management tools such as Jira and Confluence
• Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate others
• Excellent interpersonal communication and writing skills
• Effectively and clearly communicate open project risks and dependencies within the data teams and other internal teams
• Demonstrated strong time-management, prioritization, and organizational skills
• Proven strong written and oral communication skills