Disney Entertainment & ESPN Technology
Location
Santa Monica, CA | United States
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 Sr Product Manager, Data Management will focus on building capabilities to proactively manage the vast amount of data stored in the data platform ecosystem. This includes understanding how to build out the future of hybrid cloud data platform focused on blending Cloudera Hadoop environment on-premises with AWS-based processing and storage. Additionally, this role would interface with larger strategic initiatives around relocating data processing and storage to the most appropriate technologies among Snowflake, Databricks and Delta Lake using AWS S3 storage and on-premises Cloudera Hadoop environment.
This role will work in close collaboration with peer product managers and partner with engineering leads, architects, and data governance to improve our platform infrastructure offerings with an end goal of making our delivery teams highly productive and efficient.
This role requires the ability to work in an incredibly fast-paced and constantly changing environment. The right candidate will need an exceptional ability to navigate complex organizational structure, develop relationships with stakeholders across a diverse set of functional roles and quickly get up to speed on complex data pipelines and platforms.
The ideal candidate would have a successful track record of all phases of the product management lifecycle in the data infrastructure and platforms domain, an ability to work with disparate systems and a desire to simplify complex infrastructure products and processes.
Responsibilities:
Define and maintain the roadmap for the on-premises Hadoop environment and prioritize the work considering value identification, cost savings and progress against the broader business strategy.
Work with stakeholders to identify and document requirements, user stories, data flows, acceptance criteria and success metrics, specifically around key capabilities enabled by vendor products like Snowflake, Databricks and technologies like Apache Icerberg.
Partner with program management to oversee roadmap execution, identify delivery risks and resolve key blockers.
Participate in Agile ceremonies (daily standups, sprint planning, retrospectives, demos, backlog grooming) as a Product Owner.
Translate customer feedback into actionable user stories for partner data platform backlogs.
Maintain customer-facing documentation.
Champion a collaborative work environment that cultivates inclusion, shared understanding, transparency, autonomy, innovation and continuous learning.
Basic Qualifications
Minimum of 5 years of experience in product/program/engineering management in data platforms or software domain required
Bachelor’s Degree in a relevant field required
Familiarity with data warehouse and data lake platforms like Snowflake, Databricks, Cloudera or their equivalent in other cloud providers
Familiarity with public cloud technologies, preferably AWS – knowledge of service offerings and design patterns for data platforms
Familiarity with DevOps practices, such as Infrastructure as a Code and data observability as a discipline
System analysis skills to identify and document infrastructure requirements
Ability to influence, collaborate, and deliver solutions in a sophisticated, always-changing environment with competing priorities
Experience with Agile frameworks and practices
Strong leadership and communication skills
Preferred Qualifications
Data engineering or software architecture background strongly preferred
Familiarity with enterprise security practices and facilitating development with high regulation and oversite
Clear understanding of how cloud data warehouses and data lakes/lakehouses operate
CSPO, SAFe PM/PO, PMP, AWS certifications preferred
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