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.

　　Ensure the data product development life cycle (PDLC) efficiently delivers valuable solutions to our customers’ business needs and continually adapts to the needs of the organization.

　　Manage daily incoming data product improvement requests from internal customers and prioritize using on BRICE model.

　　Collect and analyze qualitative and quantitative data to enable the product and engineering organization to make insightful product decisions.

　　Organize and present data product and operations metrics to key stakeholders to communicate progress towards business drivers.

　　Anticipate project risks and issues, confidently address any and all challenges, mitigate risks and issues and escalate to appropriate parties where required.

　　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.

　　Job ID: 10075348

　　Location: Santa Monica,California

　　Job Posting Company: Disney Direct to Consumer

　　The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email [email protected] with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.