Sr. Data Product Manager

Key Skills

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

Job Description

Hulu’s Data team is seeking a Product Manager, Data Product Management who will be an exceptional addition to our growing product team. This role 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 capable of constructing and executing sophisticated, interlocking product solutions, managing data integrations and have demonstrated proficiencies in working both inside and outside the organization to deliver results for viewers, partners, and internal marketing 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!

Responsibilities:

• Take on global Disney Streaming vendor integrations, develop measurement plans and build measurement dashboard roadmap for data products and capabilities aligned to organizational and business goals
• Build relationships with key technology and business teams, vendors to ensure success across APAC, EU and LATAM countries
• 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 measurement dashboard specifications, 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

Basic Qualifications:

• Minimum of 4+ years in product management experience with building and delivering successful data products, services and capabilities
• Knowledge and experience with marketing, web technologies and systems is critical. (Salesforce Datorama, Looker, Facebook, Google integrations, Ad campaign management, web tagging, mobile SDKs & ID tracking 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.

Preferred Qualifications:

• Shown experience in video streaming and OTT
• Experience with ThoughtSpot, Tableau or other visualization tools
• Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)

Required Education

• Bachelor's degree in Engineering, Math, Science, Economics, or equivalent

Preferred Education

• Advance CS degree or MBA is a plus