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Big Data • Marketing Tech • Analytics
Provide financial reporting, budgeting, forecasting, and long-term planning for technology operations. Analyze cloud and AI/GenAI spending, build business cases and financial models, improve FinOps and financial controls, partner with cross-functional teams, and identify automation and analytics opportunities to improve technology cost management.
Big Data • Marketing Tech • Analytics
Manage a portfolio of Fintech clients, build strategic relationships, prospect new-logo accounts, align Experian solutions to client goals, drive revenue growth, and partner internally to deliver integrated fraud, identity, analytics, and decisioning solutions.
Big Data • Marketing Tech • Analytics
Perform 24x7 security monitoring, triage, analysis, and incident response for cyber threats using SIEM/EDR/SOAR tooling. Manage incident lifecycle (containment, eradication, recovery), document findings, escalate high-risk events, tune use cases and playbooks, and collaborate with internal and external teams to improve detection and response.
Big Data • Marketing Tech • Analytics
Lead product strategy, requirements, and roadmaps for Experian’s online and offline identity graphs. Collaborate with data science, engineering, and commercialization teams to build, test, and improve graph products, monitor performance metrics, ensure privacy and data governance, engage data partners, and participate in industry working groups.
Big Data • Marketing Tech • Analytics
Lead architecture and delivery of high-throughput transactional platforms and agentic AI applications. Build Python and Go services, govern AWS infrastructure, establish engineering standards, optimize distributed systems, and lead technical design reviews. Develop multi-agent workflows, tool-calling integrations, RAG pipelines, and LLM applications. Mentor engineers, guide technology evaluations, improve observability and CI/CD, and participate in incident response and reliability initiatives.
Big Data • Marketing Tech • Analytics
Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI systems. Establish scalable infrastructure, DevOps, GitOps, SRE, security, observability, data, and deployment standards. Govern architecture decisions, design distributed systems, create reference architectures and technical documentation, evaluate emerging technologies, advise product and partner teams, and mentor senior engineers. The role requires extensive AWS, Kubernetes, platform engineering, AI orchestration, distributed systems, and cloud security expertise.
Big Data • Marketing Tech • Analytics
Lead end-to-end revenue operations for Employer Services: own Salesforce and revenue tech stack, standardize quote-to-revenue, govern forecasting and pipeline, align revenue integrity with Finance, and drive global transformation, automation, and adoption across Sales, Finance, and Technology.
Big Data • Marketing Tech • Analytics
Client-facing solutions engineer who designs and delivers AI-enabled, production-ready decisioning solutions using LLMs, APIs, microservices, and cloud-native platforms (AWS). Leads discovery, architectures, demos, deployments, integrations, and compliance for credit, fraud, and identity use cases on Bureau Composer.
Big Data • Marketing Tech • Analytics
Lead product strategy and roadmap for identity resolution products across online and offline channels. Define technical and product requirements, partner with engineering and data science on R&D and MVPs, monitor performance metrics, ensure privacy and governance compliance, and collaborate with commercial teams to drive go-to-market and product optimization in AdTech/MarTech.
Big Data • Marketing Tech • Analytics
Lead Experian's participation in industry standards and trust ecosystems for digital identity, security, privacy, fraud prevention, and AI-enabled commerce. Monitor standards and policy, build relationships with standards bodies, advise internal leaders, influence industry direction, and deliver executive-level insights to guide strategy and partnerships.
Big Data • Marketing Tech • Analytics
Lead architecture and evolution of enterprise-scale data, analytics, and MLOps platforms. Design AI-ready data foundations, semantic/ontology and federated catalog solutions, APIs and permission-aware discovery. Drive adoption through reference architectures, prototyping, R&D, and mentorship while ensuring security, governance, cost efficiency, and cloud-native operational excellence.
Big Data • Marketing Tech • Analytics
Lead technical pre-sales for the AtData platform: deliver demos, design integration solutions, translate client needs, run integration discussions and handoffs to delivery, maintain pipeline snapshots and knowledge base, create product tickets, and support acceptance testing and cross-departmental use-case discovery.
Big Data • Marketing Tech • Analytics
Manage a portfolio of Fintech clients, build executive relationships, prospect new business, align Experian data and fraud solutions to client objectives, negotiate contracts, and drive revenue growth and cross-functional delivery.
Big Data • Marketing Tech • Analytics
Manage execution and submission of power of attorney documentation, address of record, and SIDES changes. Maintain client contact data, oversee daily client data operations, resolve POA delays, coordinate with clients and state agencies, track tasks and audits, and provide status updates.
Big Data • Marketing Tech • Analytics
Senior technical authority for the DevX platform who defines AI-native developer platform architecture, builds reference implementations (agent orchestration, governance, knowledge grounding), integrates CI/CD, Backstage, cloud landing zones and secure software supply chain controls, and guides teams across engineering, security, and business units.
Big Data • Marketing Tech • Analytics
Lead development of an internal AI platform enabling 5,000 developers to build, run, and govern agents. Own identity, rate limiting, data classification enforcement, audit logging, model access, agent marketplace, RAG and retrieval pipelines, and CI/CD AI integrations. Set architecture, governance, and roadmap; unblock teams and ship production AI systems at enterprise scale while leading a lean engineering organization.
