Head of Data & Operational Intelligence

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. The Opportunity Roles like this exist at very few companies. The data is rich enough, the domain is complex enough, and the moment is consequential enough to build something that has not been built before. You will own data intelligence, customer health, data governance, real-time signal detection, and an AI agent layer simultaneously, across the company. Socure sits at a rare intersection: a company with one of the richest proprietary datasets in enterprise software, a platform that processes identity and fraud signals at massive scale in real time, a consortium of customers whose collective behavioral patterns reveal things no individual institution could see alone, and a growth trajectory that requires the intelligence infrastructure to match. The person who takes this role will build and operate the system that makes Socure as smart about itself as it is about the identities it verifies. The scope is broad by design. You will own four interconnected intelligence layers: the business and investor observability platform that produces a single authoritative answer to any strategic question the company needs to answer; a customer health intelligence framework that monitors product adoption, model performance, and configuration hygiene across every account; a real-time signal intelligence system that detects fraud attack patterns and behavioral anomalies across the full customer base before any individual customer can see them; and an AI agent layer that makes all of it accessible to anyone in the company in plain language, in under 30 seconds. You will report to the Head of Platform Services and will have the organizational mandate, the executive sponsorship, and the technical resources to build this from the ground up. If you have spent your career building pieces of this at different companies and have wanted to build the whole thing at once, at a company where the data is genuinely interesting and the stakes are real, this is that role. What You Will Build Business and Investor Intelligence Socure has one of the most compelling growth narratives in enterprise software. Vertical diversification is accelerating. International transaction volume is growing rapidly. The land-and-expand model is working: second deals close in a fraction of the time it takes to close the first, and expansion revenue now outpaces new logo revenue. You will build the authoritative data foundation that makes every one of those stories produceable on demand, from a single source, with metric definitions that are version-controlled and enforced at the data layer. The goal is a state where any investor question gets a verified answer in seconds with zero definitional conflicts across teams. Customer Health Intelligence A Socure implementation involves more than 3,000 individual product settings and flags distributed across RiskOS, SuperAdmin, and Control Center. No other platform in our competitive set has built product configuration hygiene explicitly into a customer health scoring framework. You will build it. The full scoring model spans model freshness, use case breadth relative to potential, volume trend against commitment, engagement quality, and configuration hygiene, computed weekly across every active account, with automated alerting when trajectory changes. The output is a structured intervention system that lets Customer Success and Account Management act before a customer has decided anything. Customer Signal Intelligence and Anomaly Detection In 2025, deepfaked selfies increased 58% year over year. Injection attacks surged 40%. Native Virtual Camera attacks grew 2,665%. The fraud attack surface is expanding faster than any individual customer can track independently. Socure's consortium data makes cross-customer pattern recognition possible in a way no single-institution team could replicate. You will build the real-time monitoring system that detects population-level behavioral anomalies, model input and output drift, and emerging fraud attack signatures across the full customer base, and delivers a structured incident brief to the right customer contact within 15 minutes of onset. The AI Agent Layer This is the part of the role that will define it. You will build a natural language intelligence interface powered by AI agents that sits above all three pillars. Any employee, in any function, should be able to ask a business question in Slack and get a verified, sourced, accurate answer in under 30 seconds. The multi-agent pipeline you design will handle query understanding, data retrieval, verification, and answer synthesis, with answer accuracy tracked as a first-class system metric. Socure already launched an AI Suite of Agents in RiskOS for our enterprise customers in October 2025. The internal intelligence layer you build applies the same architecture philosophy to how we run the company. The lessons from building it will directly improve the external product. What We Are Looking For You have built data platforms that operate at scale and you understand the full stack from ingestion and transformation to semantic layer and consumption. You are AI-native in the truest sense: agents and LLM-powered reasoning are core architectural instincts for you, not bolt-ons. You are as comfortable in a board prep session as you are in a technical design review, and you can move fluidly between those contexts without losing credibility in either. You understand that the hardest part of this job is not the technology. It is the governance: getting a fast-moving organization to agree on canonical definitions and holding the line on them when the business wants to move faster than the data model can follow. You have done that before and you know what it takes. Required 12+ years of engineering experience including significant time building or operating large-scale data platforms, data warehouses, and analytics infrastructure 5+ years leading engineering teams with company-wide scope and impact Track record building enterprise data platforms at scale spanning transactional, CRM, and billing source systems Deep fluency with modern data stack architecture: cloud data warehouses, data mesh and medallion patterns, semantic and metrics layers Hands-on experience shipping AI agent systems including multi-agent orchestration, RAG pipelines, and LLM-powered natural language interfaces Strong instincts around statistical process control, anomaly detection, and real-time streaming architectures Data governance depth: metrics catalogs, lineage, ownership models, and version-controlled metric definitions Experience translating board-level and investor-level business questions into data architecture requirements Excellent communication skills with the ability to move fluidly between technical design and executive stakeholder conversations Preferred Deep experience with AWS data services including S3, Glue, Athena, Redshift, Lake Formation, EMR, Kinesis, and Lambda Familiarity with modern data stack tooling such as dbt, Airflow, Spark, Fivetran, Databricks, SageMaker Unified Studio, or similar Experience partnering with Finance and FP&A teams on revenue recognition, ARR/NRR analytics, and usage-based billing reconciliation Experience supporting investor reporting, board reporting, or capital markets readiness in a high-growth SaaS environment Background in fintech, identity verification, fraud, or similarly high-stakes data domains Prior experience building data platforms that support regulated financial workflows including SOC 2, PCI or similar compliance regimes Prior experience in usage-based or consumption-based SaaS We have one of the most powerful datasets in enterprise software. We have the scale, the domain, and the architectural foundation to do something genuinely interesting with it. This role is how we do that. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

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