Senior Product Manager (Remote)

Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are seeking a collaborative Senior Product Manager to support the expansion of their Global Analytics product portfolio, enabling scalable model development and AI capabilities across initiatives.

Responsibilities:

• Define and execute long-term product roadmap, aligning with global strategy, for model development tools which include Global Ascend Sandbox, Feature Factory, Experian Assistant, and product management support for Analytical Services
• Collaborate with global technology and regional product teams to build and launch Analytics capabilities
• Articulate near and long-term strategy and roadmap to senior internal and external stakeholders with the ability to show the bigger picture
• Gather input from internal stakeholders and end users to define clear, actionable product requirements for development teams that support scalable model development and analytics enablement
• Collaborate with our regions to identify and operationalize key customer value pools, product areas, and geographic regions that offer the greatest potential for impact
• Act as a liaison between technical and non-technical teams, ensuring transparency, alignment, and updates on progress, risks, and dependencies
• Analyze established key metrics to determine the overall health of the product, mitigate external and internal risks, and utilize insights to bring changes to product roadmaps
• Streamline product processes to enhance efficiency, reduce time-to-market, and ensure high-quality standards
• Help improve product development processes, documentation standards, and team collaboration practices to drive efficiency and quality

Requirements:

• 7+ years of Product Management experience, including at least 2 years in a Senior Product Manager role, preferably in data, analytics, or platform-focused environments working through end-to-end product lifecycle
• Bachelor's degree in computer science, Engineering, Data Science, or a related field
• Strong understanding of model development workflows and data science tools
• Experience launching successful products, working with globally distributed teams and managing cross-time zone collaboration
• Experience in Agile delivery/development methodologies