Product Manager - Advanced Analytics

Experian is seeking a visionary and strategic Product Manager to lead the development and growth of our Global Advanced Analytics capabilities within the Identity and Fraud (ID&F) domain. This role is pivotal in shaping the future of our Ascend Analytics platform, driving innovation, and delivering impactful solutions that protect consumers and businesses worldwide.

As part of the global product team, you will be responsible for defining and executing the product strategy and roadmap, working across a matrixed organization that spans multiple product portfolios and regional teams. Experience managing global products will be highly valuable.

Key Responsibilities

Define and drive the product vision and strategy for Ascend Ops capabilities within Identity and Fraud.

• You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering.
• Lead the execution of the product roadmap in agile environment.
• Collaborate with regional and cross-functional teams to identify market opportunities, gather requirements, and prioritize features.
• Develop and implement business and product strategies to expand our advanced analytics offerings and client base.
• Leverage data and analytics to inform product decisions, track performance, and measure success.
• Partner closely with engineering teams to deliver on the platform vision, ensuring a seamless and intuitive user experience.
• Coordinate sprint planning and execution, working with technical teams to ensure thigh-quality delivery.
• Champion innovation and continuous improvement across the product lifecycle.

• Excellent written and verbal English
• 3+ Years Relevant Product Management Experience
• Knowledge/Certification of Agile and Scrum Methodologies
• Bachelor's degree or equivalent relevant experience required.
• Proven experience in product management within a B2B SaaS environment.
• Strong domain knowledge in credit reference data, behavioral analytics, and fraud prevention.
• Hands-on experience integrating AI/ML technologies into commercial products.
• Familiarity with model lifecycle management (development, deployment, governance).
• Understanding of relevant regulatory frameworks and compliance requirements.
• Demonstrated success in developing go-to-market and commercialization strategies.
• Storytelling, stakeholder engagement, and cross-functional collaboration.
• Experience working in agile product development environments.