Senior Product Manager II - Instrumentation

Walt Disney Co.•San Francisco, CA

66d

About The Position

Commerce, Data & Identity (CDI) provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. Disney's Data Product Management team guides the strategy and vision for Disney's incredible global digital products portfolio - from Disney+, Hulu, ESPN+ and the ESPN App to Marvel Unlimited, National Geographic, ABC and ABC News, and film websites and games. This team impacts the way millions of people around the world experience and engage with Disney's iconic stories and unmatched content in more personalized and immersive ways, leveraging cutting-edge technologies ranging from Machine Learning to Extended Reality. We are seeking a highly skilled and experienced Senior Data Product Manager to join our Instrumentation Data team. This role is pivotal in building and maintaining data products that are responsible for observability, measurement, and data quality of telemetry data for Disney+. The ideal candidate will have a strong background in data management, product development, and a keen understanding of data governance and privacy.

Requirements

Minimum of 7 years of product management or relevant technical experience in a data-driven product delivery organization.
Bachelor's degree in a relevant field required.
Proven track record of successful agile product delivery, working with a cross-functional delivery team in a global or highly complex organization.
Polished communicator comfortable translating stakeholder needs into well-documented technical specifications.
Planning acumen and strong ability to break down work and define iterative product release versions.
Understanding of big data, data modeling, and how to deliver results for the purpose of making timely and accurate business decisions.
Highly analytical and collaborative qualities with strong technical, strategic, and problem-solving skills.
Ability to balance competing priorities and make informed decisions in ambiguous situations.
Ability to lead through influence across functional and organizational lines.
Ability to thrive in a dynamic and fast-paced operational environment where change is the norm.
Experience presenting to and working with senior executive leaders.
Knowledge of Agile/SDLC project management methodologies, with an understanding of data engineering, data modeling, data warehousing, and big data platforms.
High level of comfort building a roadmap and working within an agile, Jira-driven operating model.

Nice To Haves

Advanced degree in computer science, information systems, software engineering, or data science.
Experience in a data product/data engineering organization building complex data applications for an enterprise organization.
In-depth technical experience with modern data warehouses, data lakes, and databases, with an understanding of the pros/cons of different data models and warehouse approaches.

Responsibilities

Oversee the vision, strategy, and technical roadmap for Disney's telemetry data collection, event streaming and data quality and the associated tooling supporting Disney Entertainment and ESPN Product & Technology's digital properties.
Build strategic relationships with key business, analytics, and technology leaders to ensure program and product success.
Partner with stakeholders to develop detailed product requirements, user stories, acceptance criteria, and success measures tied to the Data Platform's OKRs.
Partner with Data governance and Privacy teams to ensure that data is processed in compliance with relevant regulations and policies and help make sure data is accessible only to those with valid use cases.
Implement mechanisms to ensure the highest data quality. Develop and enforce standards and best practices for data management and quality control.
Support the delivery team throughout the agile product development lifecycle, ensuring timely releases, excellent communication with partners and stakeholders, and well-thought-out delivery planning.
Build strong relationships with technical partners to ensure consistent delivery and tight alignment on evolving technical solutions.
Drive teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout communications, iteration, and ongoing support.
Lead efforts to identify risks, resolve key blockers, and establish appropriate resolution paths while communicating trade-offs with stakeholders if needed.
Fill in gaps across roles and functions as needed, performing as an adaptive problem solver.
Stay updated with the latest trends and technologies in data management and product development.
Champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning.