Lead Product Management

About the position

The position involves overseeing product profitability and budget management, leading agile methodologies such as sprint planning and retrospectives, and collaborating with various stakeholders to identify new opportunities. The role requires input into product strategy and the implementation of an architectural roadmap that balances innovative design with technical requirements. Additionally, the position focuses on monitoring customer experience and product success metrics, managing workstreams related to analytics and market research, and participating in operational reviews to ensure accountability and execution.

Responsibilities

• Monitoring product profitability and budget
• Leading sprint planning, daily standups, and retrospectives to ensure effective execution
• Collaborating with content developers, data scientists, product designers, and user experience researchers to uncover new opportunities
• Inputs to product strategy with cross-functional stakeholders consistent with the shared vision for the product
• Implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs, and product profitability
• Controls for the customer experience and customer needs in product requirements and as an input to decision making
• Monitors metrics that inform the success of products, including usability studies, research, and market analysis
• Manages one or more workstreams, including analytics, customer discovery, market research, and competitive analysis, to drive data-driven decision-making
• Monitors product profitability measures, including budget
• Participates in operational mechanisms that drive execution and accountability, including Product Reviews, Operating Reviews, and Business Reviews
• Interfaces with product leadership as needed
• Partners with content developers, data scientists, product designers, and user experience researchers

Requirements

• Minimum of 8 years of relevant work experience
• Bachelor's degree or equivalent experience
• Loyalty experience
• Personalization experience
• Machine learning and data science understanding
• Comfort in an ambiguous, fast-paced environment