Sr Product Mgr II

Job Posting Title:
Sr Product Mgr II

Req ID:
10114162

Job Description:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology:

• Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The Commerce, Growth & Identity (CGI) team is dedicated to three business-critical areas at Disney that will help transform its media business. They create seamless user experiences for consumers who can choose from a wide range of subscription plans, enabling more choice and flexibility. The CGI team is also focused on building innovative and cutting-edge capabilities that will drive subscriptions, engagement, and monetization across Disney's streaming and digital products.

Responsibilities

• 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

Basic Qualifications

• Minimum 7+ years in product management experience with building and delivering successful data products, services and capabilities. Or a combination of experience product management and engineering, analytics, data science or related fields.
• Bachelor's degree in engineering, math, science, economics, or comparable field of study and/or equivalent work experience.
• 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.

Preferred Qualifications

• 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 Los Angeles, CA is $152,200 to $204,100 per year, in Seattle, WA and New York, NY is $159,500 to $213,900 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 Posting Segment:
Commerce, Data & Identity

Job Posting Primary Business:
CGI - Data Product

Primary Job Posting Category:
Product Management

Employment Type:
Full time

Primary City, State, Region, Postal Code:
Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:
USA - NY - 1211 Avenue of the Americas, USA - WA - 925 4th Ave

Date Posted:
2025-03-06