Top Tech Jobs & Startup Jobs in Boston, MA

Manage and grow a portfolio of Fintech clients while prospecting new accounts and expanding strategic relationships. Advise senior stakeholders on data, analytics, identity, fraud, risk, lending, decisioning, and software solutions. Identify opportunities across customer acquisition, underwriting, portfolio growth, and fraud prevention; align Experian capabilities to client objectives; collaborate internally to deliver integrated solutions and measurable business outcomes. Travel is required, and the role is fully remote.

Lead Experian’s global Digital Intelligence product portfolio, setting strategy and roadmap for device, behavioral, agent, and network-risk capabilities across web, mobile, and APIs. Manage global product leaders, guide fraud and automation detection capabilities, oversee SDK and data product evolution, and partner across engineering, data science, legal, privacy, design, and go-to-market teams. Own adoption, retention, revenue, pricing, packaging, and commercial performance while advancing AI-assisted product development.

Leads architecture for Experian’s AI-native developer experience platform. Defines agentic software delivery, developer portals, governed AI marketplaces, AI governance, knowledge grounding, and secure software supply chain standards. Builds reference implementations and connects CI/CD, Backstage, cloud landing zones, AI tooling, and security controls. Partners across engineering, security, and business units to establish technical direction, resolve cross-functional architecture decisions, and promote scalable platform adoption.

Lead the architecture and implementation of AWS cloud-native platforms for fraud detection, risk analysis, and digital intelligence. Design scalable, resilient, secure, low-latency REST and event-driven systems using Java, Kubernetes, Kafka, and SQL/NoSQL databases. Set technical strategy and architecture standards, mentor engineers, conduct reviews, and guide multiple teams. Partner with product, data science, security, and business leaders to embed AI and machine learning capabilities, while improving delivery, observability, compliance, and cost efficiency.