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Data Product Manager

Full-Time at Hulu Santa Monica, Hulu New York Req ID: P001266-R0009330

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’s Data team is seeking a Manager, Data Product Management who will be an exceptional addition to our growing product team. This roll will lead and strengthen a team of skilled data product managers, responsible for delivering data products and solutions for Hulu's needs. The ideal candidate is an experienced data product and career manager, capable of building skilled and engaged teams, having handled several multi-year product roadmaps simultaneously. Candidate is capable of constructing and executing sophisticated, interlocking product solutions, and have demonstrated proficiencies in working both inside and outside the organization to deliver results for viewers, partners, and internal teams. 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
  • Define the vision, strategy, and roadmap for data products and capabilities aligned to organizational and business goals
  • Build relationships with key technology and business teams to ensure success
  • Partner with Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Product Design, and other Technical Program Management team members to develop, test, and deliver high quality products and features
  • Lead and drive teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support
  • Develop detailed product requirements, user stories, acceptance criteria, and success measures
  • Ability to identify risks, resolve key blockers, and establish appropriate resolution paths
  • Ability to fill in gaps across roles and functions as needed, performing as an adaptive problem solver
  • Ability to champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning
WHAT TO BRING
  • Minimum of 3+ years in product management experience with building and delivering successful data products, services and capabilities
  • Knowledge and experience with marketing technologies and systems is critical. (Salesforce, GA, multi-touch attribution, segmentation, campaign management, etc.)
  • Planning acumen and proven ability to break down work and define an MVP, as well as subsequent iterations
  • Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
  • 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
  • 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.
  • Experience demonstrating leadership, self-motivation, accountability, and a standout colleague.
  • Managing large scale implementation of data sets including - data ingestion, integration and reporting tools experience.
  • Understanding of the Data science workflow, the terminology and the unique challenges associated with the domain
 NICE-TO-HAVES
  • Undergraduate Degree in Engineering, Math, Science, Economics, or equivalent.
  • Advance CS degree or MBA is a plus
  • Knowledge and experience with marketing technologies and systems (Salesforce, GA, multi-touch attribution, segmentation, campaign management, etc.)
  • Shown experience in video streaming and OTT
  • Experience with ThoughtSpot, Tableau or other visualization tools
  • Experience with large scale enterprise applications using big data open-source solutions such as Hadoop, HBase, Spark, Kafka, and Elastic Search / Solr
  • Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)

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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