Senior Product Manager – Behavioral Analytics

Define and execute the strategy to globalize Behavioral Analytics, expanding across regions

Drive adoption of a global operating model spanning product, engineering, delivery, and support

Align Behavioral Analytics with the broader Digital Intelligence vision, integrating with device intelligence and Ascend platform capabilities

Identify and prioritize market opportunities across regions

Define pricing, packaging, and modular adoption strategies to maximize market penetration

Work with customers and regional stakeholders to understand fraud challenges across use cases

Translate insights into product features that enhance behavioral biometrics and analytics capabilities

Lead integration of Behavioral Analytics into the Ascend Fraud Platform

Enable seamless interaction with Device Intelligence, Fraud decisioning platforms, and Global data-sharing frameworks

Ensure platform interoperability to unlock multi-signal fraud detection capabilities

Own and deliver a global roadmap focused on Deployment of solutions across regions

Create standardized onboarding & integration frameworks, and reuse components

Support AI-driven behavioral signal generation and continuous improvement

Partner with Sales, Product Marketing, and Customer Success to enable regional teams with training, playbooks, and onboarding frameworks

Support initial client deployments and ensure successful adoption

Collaborate with globally distributed teams across Product, Engineering, Data Science, and Delivery

Work closely with global and regional teams to ensure alignment

Partner with program management to manage complex, cross-region execution

You are required 11+ years of Product Management experience in complex, matrixed organizations

Strong domain expertise in Behavioral Analytics, Behavioral Biometrics, Fraud Detection, or Risk platforms

Experience building and scaling globally distributed products and platforms

Proven track record of driving product globalization or multi-region expansion

Experience with AI/ML-driven products, particularly in behavioral modeling or fraud detection

Strong understanding of fraud use cases such as account takeover, synthetic identity, and payment fraud

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