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Senior Data Product Manager - Content Data

Full-Time at Hulu Santa Monica Req ID: 71019172

The data life

Data drives Hulu, and our Data Platform and Data Sciences teams are some of the most talented in the industry. We've built a data platform that can ingest, store, and process terabytes of data every day. Here, you can focus on a variety of domains such as data science, machine learning, and optimization — all while collaborating on a cutting-edge analytical solution development pipeline. We'll look to you to provide data analysis and research to present a compelling vision of viewer retention and preferences across the vast ecosystem of Hulu's product offerings and content.

Herbie Hulu Santa Monica Herbie
Our culture here is pretty special – fun, inclusive, balanced and also ambitious and creative. I learn so much from the other data scientists here. I’m proud to work on the Hulu product as well – bringing a variety of stories to people’s devices and living rooms and being an overall net positive in people’s lives.

The part you’ll play and
preparation for your role.

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.

SUMMARY

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.

ROLE SUMMARY

Hulu’s Data Product team is seeking a Senior Data Product Manager who will be an exceptional addition to our growing Data team. This role will be focused on the Data team’s Content division, which touches almost every aspect of running a successful subscription based video streaming business. 

The ideal candidate has deep familiarity with the big data ecosystem, data warehousing solutions, data processing pipelines and analytics platforms from a product management perspective. The candidate is capable of constructing and executing sophisticated, interlocking product solutions, and has demonstrated proficiencies in working both inside and outside the organization to deliver results for viewers, partners, and internal teams. The candidate has handled several multi-year product roadmaps simultaneously and is comfortable switching between deep technical discussions and setting strategic business directions. This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them.

If you love data and creating products and capabilities to redefine data and how it is utilized, this is a phenomenal role!

WHAT YOU’LL DO

  1. Define unique and differentiated vision, strategy, and roadmap for data products and capabilities aligned to organizational and business goals.
  2. Build strong relationships with technology and business teams across the organization and get a solid grasp of these stakeholders pain points and business outlook.
  3. Act as a Data strategist and subject matter expert for Content Data sets and seamlessly navigate every layer of the Data stack to identify opportunities where data can be leveraged for insights.
  4. Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, cost effective Data solutions.
  5. Lead and drive teams on all business readiness activities, including Business case development, product planning, sequencing, testing, user education, rollout, iteration, and support.
  6. Develop detailed product requirements, user stories, acceptance criteria, and success measures.
  7. Ability to identify risks, resolve key blockers, and establish appropriate resolution paths.
  8. Ability to fill in gaps across roles and functions as needed, performing as an adaptive problem solver.
  9. Ability to champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning.

WHAT TO BRING

  1. Minimum of 5+ years of product management experience with strong focus on building and delivering successful data products, services and capabilities
  2. Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack. 
  3. Experience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set up
  4. Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
  5. Experience utilizing both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving. Generally: the ability to plan for what analysts and data scientists need to deliver.
  6. Planning acumen and proven ability to break down work and define an MVP, as well as subsequent iterations
  7. Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
  8. Experience demonstrating leadership, self-motivation, accountability and most importantly, driving change in a large matrixed organization
  9. Knowledge of the basic Statistical analysis concepts and Data science workflows, the terminology and the unique challenges associated with the domain

 NICE-TO-HAVES

  1. Undergraduate Degree in Engineering, Math, Science, Economics, or equivalent
  2. Advance CS degree or MBA is a plus
  3. Experience with Media or Entertainment Industry Data sets (Examples include Video Content Metadata, Box Office Performance, Nielsen Ratings etc.)
  4. Experience with data visualization and BI reporting tools (Tableau, Looker, Microstrategy etc.) coupled with strong storytelling skills for technical and non-technical audiences
  5. Experience or knowledge of basic programming (SQL, R, Python) and Data management technologies (Hadoop, Spark, Kafka, MongoDB, Redis, Couchbase, AirFlow, MySQL etc.)


#LI-DR1

Our Hiring Process

  • Explore life at Hulu

    Thanks for stopping by to get an inside scoop on our products and culture. Once you get a taste of the Hulu way of life, take some time to browse our open jobs to see where your expertise, interests, and experience align! We are so excited to see what you bring to the table.

  • Up next on your journey

    You applied to one of our roles and it looks like you might be a fit. As a next step, prepare to discuss your background, goals, and aspirations with a recruiter or team member.
    They will also be ready to answer all of your questions about Hulu and the role. If you aren't a fit this time, keep an eye on our open roles for the next opportunity that might be a match.

  • Meet the team

    Log on and meet the team virtually. With Hulu focused on keeping candidates and employees safe, we are conducting all interviews through video conferencing technology, and we are leveraging digital collaborative tools to ensure the experience is thorough and positive.
    The video interview is typically the final stage of the process and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume.

Just like the best ensemble casts of our favorite shows,
Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, in accordance with applicable federal, state, and local law. Hulu is committed to providing reasonable accommodations to applicants if needed during the interview process.

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