Lead Product Manager - Data Platform

#Bethedifference

If making a difference matters to you, then you matter to us.

About the Role

We are seeking an experienced and technically adept Senior Data Product Manager to lead the development of a next-generation data platform that will serve as the foundation for analytics, integrated risk management, and agentic AI use cases across Enablon’s product ecosystem.

This is a strategic role that requires a deep understanding of data architecture, API ecosystems, and enterprise-grade product management. You will be responsible for defining and executing the vision for a unified data model and platform that enables scalable, secure, and intelligent data services across our suite of risk and ESG solutions.

Key Responsibilities

• Define and drive the roadmap for a scalable data platform supporting analytics, AI, and integrated risk management.
• Align platform capabilities with business needs, customer use cases, and long-term product strategy.
• Lead the creation of a holistic data model that spans multiple domains (risk, compliance, ESG, operations).
• Collaborate with engineering and domain experts to ensure data integrity, interoperability, and extensibility.
• Own the strategy and lifecycle of data APIs, ensuring they are robust, secure, and developer-friendly.
• Define standards for data access, governance, and integration across internal and external systems.
• Work closely with engineering, data science, UX, and business stakeholders to deliver platform capabilities.
• Evangelize the data platform internally and externally, driving adoption and continuous improvement.
• Ensure the platform adheres to data privacy, security, and compliance standards (e.g., GDPR, ISO).
• Implement metadata management, lineage tracking, and audit capabilities.

Qualifications

• 7+ years in product management, with at least 3 years focused on data platforms or enterprise data products.
• Proven track record of delivering complex technical products in B2B SaaS or enterprise software environments.
• Strong understanding of data architecture, data modeling, and modern data stack technologies.
• Experience with API management platforms, RESTful services, and data integration frameworks.
• Familiarity with cloud platforms (Azure, AWS, GCP), data lakes, and analytics tools.
• Strategic thinker with excellent communication and stakeholder management skills.
• Comfortable navigating ambiguity and driving clarity in cross-functional settings.
• Passion for building foundational capabilities that unlock innovation and scale.