Head of Data, Machine Learning, and Application Platform

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:

https://www.youtube.com/watch?v=ifM9_jPQCv8

Socure is the leading provider of digital identity verification and fraud solutions. Our platform leverages cutting-edge AI and ML to drive trusted identity decisions at scale. By transforming how organizations verify and authenticate digital identities in real-time, we help our clients reduce fraud, streamline onboarding, and ensure compliance.

As the Head of Data, Machine Learning, and Application Platform at Socure, you will have a pivotal role in shaping our core technologies and driving innovation across our growing product and platform teams.

Responsibilities:

• Vision & Strategy - Define and execute a multi-year strategy for Socure’s data, ML, and application platforms, ensuring alignment with our vision to eliminate identity fraud and verify “100% good IDs in real-time.” Collaborate with executive leadership to anticipate market trends and technology innovations that will maintain Socure’s competitive edge.
• Data Platform Leadership - Lead the architectural design, implementation, and maintenance of a secure, scalable data platform optimized for real-time identity verification and fraud detection. Ensure that data lakes, pipelines, and storage solutions adhere to rigorous quality, governance, and compliance standards relevant to the financial services, healthcare, and other regulated industries.
• Machine Learning & AI Innovation - Drive the development, deployment, and continuous improvement of ML models that power Socure’s identity verification and risk scoring products. Champion MLOps best practices, from model experimentation to production deployment, ensuring high availability and performance. Oversee research and development of emerging AI/ML techniques to keep Socure at the forefront of fraud prevention technology.
• Application Platform Ownership - Define the roadmap for Socure’s application platform, balancing rapid feature delivery with system reliability, scalability, and security. Partner with product and engineering teams to create a seamless developer experience, leveraging modern DevOps and continuous integration/continuous deployment (CI/CD) practices.
• Cross-Functional Collaboration - Work closely with Product, Engineering, Data Science, and Security teams to ensure platform solutions meet the evolving demands of Socure’s diverse client base. Align technical initiatives with business outcomes, demonstrating clear ROI and measurable impact on fraud prevention and customer satisfaction.
• Team Building & Management - Recruit, develop, and lead high-performing teams across data engineering, ML engineering, data science, and software development. Foster a culture of innovation, ownership, and professional growth through mentorship, continuous learning, and performance management.
• Risk & Compliance - Partner with Security, Compliance, and Legal teams to ensure that Socure’s data and machine learning processes comply with relevant regulations, such as GDPR, AML/KYC requirements, and other regional or industry standards. Implement robust governance frameworks and security practices to protect sensitive customer data.
• Thought Leadership - Represent Socure in industry forums, conferences, and publications, showcasing our expertise and innovation in digital identity, fraud detection, and data science. Stay current with evolving technologies, regulations, and best practices to drive continued product and platform excellence.
• Budgeting & Resource Allocation - Forecast and manage budgets for data, ML, and platform initiatives, ensuring efficient allocation of resources. Evaluate and guide decisions on technology investments, vendor partnerships, and infrastructure expansions.

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