Engineering Manager

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Engineering ManagerFull-timeEmployee Status: RegularRole Type: HybridDepartment: TechnologySchedule: Full TimeCompany DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.Job DescriptionWe are looking for an Engineering Manager to lead one or more teams building scalable data and AI-driven platforms in the Financial Crime Compliance (FCC) domain.You will blend technical leadership, delivery ownership, and people management, with a focus on building resilient, cloud-native systems and driving innovation through AI and automation.You bring 8+ years of experience in distributed systems, data engineering, and modern software delivery, along with experience building and mentoring teams.Responsibilities 1. Delivery & ExecutionManage delivery of complex, multi-quarter engineering programsImprove predictable execution using Agile methodologies (Scrum/Kanban)Ensure, on-time delivery in consideration of our prioritiesManage dependencies across teams, platforms, and partnersTrack and improve important engineering metrics (velocity, quality, reliability)2. Technical LeadershipArchitect and oversee scalable, secure, cloud-native systems (AWS preferred)Guide teams on best practices in:Microservices architectureData pipelines (batch and streaming)API design and integrationEvent-driven systemsChampion engineering excellence:Code quality, testing strategies, CI/CD pipelinesObservability and productionImprove adoption of AI/GenAI solutions to improve engineering efficiency and product capabilities3. Data & AI Engineering (Preferred)Lead development of large-scale data platforms using tools like Spark, Glue, and data lakesEnsure real-time and batch data processing pipelinesCollaborate with data scientists to productionize ML modelsEnsure governance, security, and compliance (especially in regulated domains like KYC/KYB, AML)4. People LeadershipBuild, mentor, and grow high-performing engineering teamsConduct hiring, onboarding, and performance managementFoster a culture of ownership, innovation, and continuous improvementProvide regular feedback and career development guidancePromote diversity, inclusion, and psychological safety within teams5. Stakeholder ManagementPartner with Product, Architecture, and Business stakeholdersTranslate our requirements into technical deliverablesProvide clear status updates and executive-level communicationManage risks, escalations, and trade-off decisions effectively6. Operational ExcellenceEnsure production stability, uptime, and incident managementDrive root cause analysis and continuous improvementOptimize cost and performance of cloud infrastructureEstablish robust support and runbooks for operational teamsQualificationsRequired QualificationsBachelor's / Master's degree in Computer Science or related field10–14 years of software engineering experience, with 3–5 years in a leadership roleExperience delivering large-scale distributed systemsExperience with cloud platforms (AWS preferred)Hands-on experience in Java/Python/Scala or similarExperience with software development lifecycle and Agile practicesPreferred QualificationsExperience in Financial Crime Compliance, Fraud, or Risk systemsExposure to AI/ML and GenAI-driven product developmentPrior experience managing globally distributed teamsAdditional InformationOur uniqueness is that we truly celebrate yours. Experian's strong people first approach is award winning; Great Place To Work™ in 26 countries. Check out Experian Life on social or our Careers Site to understand why.Experian is proud to be an Equal Opportunity and Affirmative...