Senior Product Manager managing content data products for Disney's media businesses across various platforms. Collaborating with a wide range of stakeholders to drive insights and improvements in content performance.
Responsibilities
Develop deep understanding of the application/use of Content Data insights and elicit requirements from Data Analysts and Business leaders, transforming these insights into Product roadmaps with executable projects.
Create and manage core product documentation including Business Case Proposals, Data Flow diagrams, Data Dictionaries, Build vs Buy Recommendations, User Stories, UAT preparedness etc.
Manage day-to-day Product Management activities related to multiple scrum teams, including backlog refinement, prioritization of short term/long term business needs, product/feature launch communications, user onboarding and training.
Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, cost effective Data solutions.
Identify risks, resolve key blockers, and establish appropriate resolution paths across the organization with inter-dependent roadmaps and priorities.
Fill in gaps across roles and functions as needed, performing as an adaptive problem solver.
Champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning.
Work with minimal oversight /guidance in a large matrixed organization with complex tech & data ecosystems; take initiative to simplify and articulate trade-off decisions to business and technical leadership.
Drive towards delivery of projects. When specifics are unknown, be resourceful identifying partners and getting information needed. Take initiative to unblock and escalate as needed to move projects forward.
Requirements
Minimum of 5+ years of product management experience with strong focus on building and delivering successful data products, services and capabilities
Bachelor’s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.
Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack.
Experience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set up
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.
Planning acumen and proven ability to break down work, define an MVP, as well as subsequent iterations and track feature adoption to inform roadmap development.
Experience demonstrating leadership, self-motivation, accountability with strong technical, strategic and problem-solving skills to drive change in a large matrix organization.
Benefits
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.
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