Product Manager at Nielsen

Key Responsibilities

• Contributing to problem and solution discovery efforts by conducting internal stakeholder and customer interviews and research, and developing and running experiments to validate concepts
• Driving Agile ceremonies, including planning, grooming, demos, and retrospectives
• Writing stories that articulate work to be done by Engineering, Data Science in support of solutions and production support.
• Working closely with Engineering to ensure solutions are ultimately delivered in a timely and cost-effective manner
• Working closely with our stakeholder team to understand the business and adapt solutions as it evolves.
• Preparing project status and risk management reports.
• Supporting Customer Support, Sales Enablement, and Product Marketing in the development of feature descriptions and new release content
• Maintaining a prioritized backlog that aligns with available Engineering capacity and maps to an overall solution roadmap.
• Performing validation testing of production releases, bug fixes, and feature requests.
• Create support and training documents for internal and external users
• Analyze competition

Key Skills

• A bachelor's or master's degree in Business Administration, Computer Science, Data Science, or a related field is often preferred
• 2-3 years experience in product management or a similar discipline in a SaaS or DaaS environment
• Additional certifications in Product Management, Agile methodologies, or related areas can be advantageous
• Prior experience in Audience Measurement / Media industry is a plus
• Knowledge of project and product management tools like Jira and Aha
• Familiarity with complex data methodologies to combine data assets into products
• Experience with big data analytics and data flows
• Experience in writing technical specifications and technology requirements
• Strong time management skills
• Good communication skills along with the ability to effectively collaborate with cross functional teams
• A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs