Decision Science Product Manager leveraging advanced analytics and science models at Disney to solve business problems. Collaborating with various teams to drive data and business efficiencies.
Responsibilities
Act as a Company-wide consultant leveraging advanced analytics and complex science models to solve business problems
Identify business problems, lead system requirements-gathering, design and develop solutions in partnership with the business to meet those requirements, test implementations, lead user training, and measure ongoing performance of the solutions
Proactively connect with technical and non-technical partners, seek to learn and understand, and potentially challenge existing processes in order to continuously seek improved efficiencies
Own the vision for analytical systems, be accountable for integrating these systems into real-world business processes, and construct the consolidated product roadmap for future ongoing evolution of these systems
Lead projects that drive value, improve business efficiencies, or guide strategy development
Build end to end data solution prototypes using different technical tools such as SQL, Python/R, Tableau and others
Read and understand complex operational machine learning product source code to document, develop and guide on-going data driven product development efforts
Be a hands-on project lead who works with SQL, Python, and visualization tools like Tableau to extract data for analysis, seek out answers to business problems, and builds automations for efficiency and new functionality
Be a problem solver; when presented with new challenges, you are encouraged to research and network to find solutions
Requirements
7 + years of progressively complex experience in analysis, analytical product management, or analytics engineering roles
Direct experience operationalizing, developing, and managing machine learning products
Proficiency with data visualization technologies such as Tableau or Power BI
Proficiency acquiring, validating, organizing, and manipulating complex and/or large amounts of data
Demonstrated interpersonal skills, including ability to partner with technical and non-technical teams and build consensus toward a desired outcome
Experience in gaining deep understanding of multiple lines of business with expertise in multiple functional areas
Ability to drive projects forward along timeline and product roadmap independently with minimal oversight, adapting to changing client priorities, business conditions, and technical challenges
Proficient in a variety of data science methods, scalable infrastructure setup, and software development, plus a basic understanding of system design / architecture
Recognizes potential business development opportunities
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits, dependent on the level and position offered
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