Sr Product Manager II

Key Skills

Analytical and Problem solving, Apache Airflow, Apache Hadoop, Apache Kafka, AWS Glue, Big Data Technology, Data Architecture, Data Engineering, Data science techniques, Employee life cycle, HBase, Looker, MongoDB, MySQL, Oracle, Planning and organization, Python Programming, REDIS, SQL, Tableau

Job Description

Disney Streaming Data team is seeking a Senior Data Product Manager who will be an exceptional addition to our growing data product management team. In this role, you will deliver data products and solutions for the Subscriber vertical of Disney Streaming. The ideal candidate is an experienced data product manager, capable of building products from ideas and with a proven track record of managing multi-year product roadmaps. This candidate builds fantastic relationships across all levels of the organizations and is recognized as a problem solver that looks to elevate the work of everyone around them. If you are passionate about data and creating products and capabilities to democratize data across the organization, then this is a great role for you.

• 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 7+ years in product management experience with building and delivering successful data products, services and capabilities. Or a combination of minimum 1+ years in product management and 3+ years in engineering, analytics, data science or related fields.
• Undergraduate Degree in Engineering, Math, Science, Economics, or equivalent.
• 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.
• Understanding of and ability to decipher/write SQL code, and basic coding in Python, LookML, etc.
• 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

• Advance CS degree or MBA is a plus
• Knowledge and experience with subscription lifecycle
• Shown experience in video streaming and OTT
• Experience with ThoughtSpot, Tableau, Looker or other visualization tools
• Experience with large scale enterprise applications using big data solutions such as Hadoop, HBase, Spark, Kafka, Airflow, AWS Glue, etc.
• Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)

The hiring range for this position in Santa Monica and Connecticut is $149,240 to $ 200,200 per year and in Seattle and New York City is $156,292 to $ 209,660 per year and in San Francisco is $163,426 to $ 219,230 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About Disney Direct to Consumer:

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.