Product Director – Decisioning

As a Decisioning Product Director, you will lead the strategic vision, lifecycle, and market execution for our high-performance decisioning platforms and solutions. You will drive the development of next-generation automated decision engines, leveraging advanced analytics, unique data assets, and artificial intelligence to enable enterprise clients to evaluate risk, optimize workflows, and deliver real-time operational decisions with speed and accuracy.

What you’ll do

• Define and execute the end-to-end product vision, multi-year strategy, and commercial roadmap for enterprise decisioning engines, rule platforms, and workflow orchestration tools.
• Partner with cross-functional leadership—including Data & Analytics, Technology Architecture, Legal, Security, and Commercial Sales—to commercialise and scale decisioning solutions globally.
• Champion the integration of cloud-native architecture, advanced analytics, and EFX.AI capabilities into automated decisioning products to optimize real-time decision quality and system scalability.
• Conduct direct market research, engage key enterprise customers, and perform competitive analyses to translate market requirements into actionable product features and high-value capabilities.
• Manage product performance metrics, revenue growth, adoption tracking, and ROI, ensuring continuous alignment with strategic business goals and customer needs.
• Oversee product governance, compliance adherence, and regulatory standards across decisioning environments.

What experience you need

• Progressive product management experience leading enterprise B2B SaaS platforms, decisioning engines , risk orchestration tools, or credit risk technologies.
• Experience structuring, building, and scaling automated decision systems, rule engines, or complex workflow automation platforms.
• Proven track record in cloud-native product management (Google Cloud, AWS, or Azure) and API-first architectural frameworks.
• Demonstrated experience driving product roadmaps from concept through commercial go-to-market execution.
• Deep understanding of regulatory standards, data privacy laws, and compliance frameworks impacting automated decision-making.
• Bachelor’s degree in Business, Computer Science, Data Analytics, Engineering, or equivalent practical experience.

What could set you apart

• Master’s degree or MBA in Product Management, Business Administration, or a technical field.
• Hands-on experience developing or applying AI/ML models, predictive analytics, or generative AI within decision orchestration tools.
• Proven experience building, leveraging, or automating workflows using AI tools (such as Google Gemini or Workspace Studio) to enhance team efficiency and operational productivity.
• Strong domain expertise in financial services, credit risk, fraud mitigation, or identity verification decision systems.

We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday) , paired with Friday Flexibility to wrap up your week remotely.

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