Sr. Data Product Manager at Pluto TV

| Greater LA Area
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About The Brand

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.

Overview and Responsibilities

The Senior Data Product Manager will lead and coordinate all parallel data engineering initiatives. The ideal candidate will need to have experience prioritizing multiple work streams and should have experience working with data teams, overseeing Engineering backlog, and helping prioritize the efforts around data related requirements from other teams, and effectively communicating open project risks and dependencies to key stakeholders.

 

Working as part of the Data Engineering team, this role will be responsible for managing all data feeds and collecting analytical streaming data from all our client software, dealing with dynamic requirements, and very large volume and high velocity of data. You should have strong analytical, organizational, and prioritization skills.

 

This is a critical role with a wide range of responsibilities, including:

  • Authoring and owning product requirements
  • Work with the PMO to prioritize key requests
  • Working with department heads and team members to build trust and socialize Data engineering deliverables to support business goals
  • Engaging directly with data engineers to build meaningful, measurable, and scalable data products
  • Understanding the architecture of the different subsystems of data engineering
  • Drive complex decisions impacting the data engineering team working with potentially diverging opinions and priorities.
  • Help manage KPIs that drive the Data Engineering team's performance.
  • Lead and manage multiple concurrent projects
  • Demonstrate strong time-management, prioritization and organizational skills
  • Leverage your strong interpersonal skills, cultivate relationships, and negotiate with internal clients
  • Proven strong written and oral communication skills

Basic Qualifications

We believe the right individual will have the following skills and experience in order 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 similar
  • 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 preferred
  • Excellent problem-solving skills. solutions and detail oriented mindset.
  • Skilled in Agile project management tools such as Jira and Confluence
  • Demonstrated willingness to be adapt to changing priorities with the ability to motivate others
  • Excellent interpersonal communication and written skills
  • Effectively and clearly communicate project risks and dependencies within the data teams and other internal teams
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Location

750 N. San Vicente Blvd. , Los Angeles, CA 90069

What are Pluto TV Perks + Benefits

Culture
Friends outside of work
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Company Outings
Stocked Kitchen
Happy Hours
Parking
Pet Friendly
Professional Development Benefits
Lunch and learns
Promote from within
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