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, focusing on enabling scalable model development and AI capabilities. The role involves defining product roadmaps, collaborating with global teams, and ensuring alignment between technical and non-technical stakeholders.
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