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Hybrid Senior Product Manager – Content Viewership Data
Posted 2 weeks ago
About the role
- 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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