Lead Product Manager
Role Overview
Lead Product Manager for the Credit and Investigations portfolios, shaping portfolio strategy and future direction.
The role will define portfolio vision, identify growth and innovation opportunities, evolve products for an AI-enabled future and develop Product Managers.
Key Skills for This Role
Full Job Posting
Business and team
LexisNexis Risk Solutions' Business Services vertical offers solutions for revenue growth, operational efficiency and customer experience.
Its solutions address anti-money laundering and counter-terrorist financing, identity verification, fraud and credit risk, and customer data management.
The role works with Product, Technology, Data Science and the wider business in a collaborative global team.
About the role
Lead Product Manager for the Credit and Investigations portfolios, shaping portfolio strategy and future direction.
The role will define portfolio vision, identify growth and innovation opportunities, evolve products for an AI-enabled future and develop Product Managers.
Responsibilities
- Own and evolve the portfolio strategy, vision and roadmap; identify and validate growth, innovation and development opportunities.
- Use Data Science, predictive modeling and automation to improve products and customer outcomes for an AI-enabled future.
- Translate customer, market, regulatory and business needs into priorities and investment choices; build business cases and explain product investment value.
- Partner with Technology, Data Science, Operations and customer-facing teams to deliver strategy.
- Define success measures, use evidence to guide decisions, influence senior stakeholders and align on direction and investment.
- Support and develop Product Managers.
Requirements
- Significant Product Management experience, including ownership and delivery of product or portfolio strategy.
- Strategic ability to connect customer problems, market changes, technology and commercial opportunities.
- Experience turning complex or ambiguous opportunities into priorities, roadmaps and outcomes.
- Strong commercial judgment and experience contributing to business cases or investment decisions.
- Experience working with data, analytics, Data Science, predictive modeling, automation or AI-enabled products.
- Strong communication and influencing skills, including with senior stakeholders.
- Experience partnering with Technology, Data Science or delivery teams to execute strategy.
- Experience line managing, coaching and developing product professionals.
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