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American Express
American Express
B2BBank ishiMoliya
American Express bank ishi, moliya va B2B to‘lovlari sohalarida faoliyat yurituvchi global moliyaviy xizmatlar kompaniyasidir. Kompaniya faoliyati jismoniy shaxslar, biznes va korporativ mijozlar uchun kredit kartalari; to‘lov va savdogarlarga xizmat ko‘rsatish xizmatlari; jamg‘arma hisobvaraqlari, depozit sertifikatlari va shaxsiy kreditlar; shuningdek, mukofotlar, sayohat dasturlari, korporativ to‘lov yechimlari, moliyaviy ta’lim, xavfsizlik xizmatlari hamda karta egalari va savdogarlarni qo‘llab-quvvatlashni o‘z ichiga oladi.
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Kompaniyadagi ish o‘rinlari

Director of Software Engineering, Data Platforms and Generative AI – American Express Hybrid India

Lead American Express’s modernization of servicing data platforms, metadata management, DaaS, MaaS, and Generative AI foundations. Build enterprise-scale engineering teams and reusable intelligence capabilities.

INHindistonGibridTo‘liq stavkaYetakchiTalab Qilinadigan Til: inglizchaMuhandislik menejeri
BulutTaqsimlangan tizimlar

Tavsif

  • Own the strategy, roadmap, and delivery of servicing data platforms spanning DaaS, MaaS, operational data engineering, reporting, customer journey intelligence, data ingestion, and data lake modernization
  • Develop and deliver multi-year cloud-first strategies for AI-enabled platform modernization
  • Improve platform simplicity, standardization, reuse, scalability, resilience, availability, performance, and operational excellence
  • Lead teams responsible for platform engineering, reliability, automation, and lifecycle management
  • Develop trusted, accessible, reusable, and consumable servicing data capabilities
  • Define enterprise approaches for data federation, metadata, lineage, cataloging, context propagation, and reusable intelligence services
  • Provide real-time and near-real-time access to servicing data through governed APIs, event-driven architectures, and intelligence access layers
  • Expand DaaS and MaaS adoption across business and technology teams
  • Integrate governance, privacy, security, compliance, data quality, retention, auditability, and access controls into platforms and engineering practices
  • Lead reusable intelligence components and foundational services for AI, analytics, automation, customer intelligence, predictive analytics, Generative AI, agentic systems, and decisioning
  • Assess emerging AI and data technologies and establish strategies for enterprise adoption
  • Own the servicing operational reporting ecosystem, advancing self-service reporting, standardized metrics, real-time intelligence, and reusable reporting frameworks
  • Build and develop a high-performing engineering organization through coaching, mentoring, succession planning, and technical leadership development
  • Define engineering operating models, delivery practices, quality standards, and cross-functional partnerships

Talablar

  • Bachelor’s degree in computer science, computer engineering, information systems, or a related technical field; an advanced degree is preferred
  • At least 10 years of progressive software engineering and technology experience, including substantial leadership of large engineering teams and enterprise platforms
  • Track record of leading enterprise data platform engineering organizations with accountability for strategy, architecture, execution, reliability, and operational excellence
  • Advanced experience designing, building, and modernizing cloud-native data platforms, distributed systems, data lakes, and large-scale ecosystems for mission-critical capabilities
  • Success delivering multi-year platform modernization and cloud transformation programs focused on simplicity, standardization, scalability, resilience, automation, and reuse
  • Strong experience with Data as a Service, Metrics as a Service, reusable data products, intelligence access layers, ingestion platforms, and governed APIs
  • Deep knowledge of data ingestion and processing, federation, metadata, quality, lineage, cataloging, master data management, and enterprise data lifecycles
  • Strong understanding of real-time and near-real-time architectures, event-driven systems, streaming, APIs, distributed processing, and operational reporting platforms
  • Experience delivering enterprise operational reporting and analytics, standardized metrics and KPIs, self-service analytics, real-time intelligence, and reusable reporting frameworks
  • Experience establishing AI-ready data foundations for advanced analytics, machine learning, Generative AI, customer intelligence, agentic systems, automation, and intelligent decisioning
  • Strong knowledge of modern AI/ML and Generative AI ecosystems, including LLMs, RAG, vector databases, semantic search, knowledge management, context engineering, and reusable intelligence services
  • Ability to assess emerging data, cloud, AI, and Generative AI technologies and create enterprise adoption strategies
  • Strong understanding of enterprise data governance, security, privacy, risk, and regulatory obligations
  • Ability to establish engineering standards and operating models that improve quality, delivery speed, availability, resilience, performance, observability, and operational effectiveness
  • Ability to collaborate across Product, Technology, Data Science, Enterprise Architecture, Information Security, Risk, Compliance, Operations, and business teams
  • Strong business and technology judgment
  • Exceptional communication and ability to influence executives
  • Demonstrated people leadership in building, developing, mentoring, and scaling high-performing engineering organizations
  • Ability to lead through influence in complex, matrixed organizations
  • Strong commitment to engineering excellence and continuous improvement

Imtiyozlar

  • Competitive base pay
  • Bonus opportunities
  • Programs supporting financial well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability coverage, subject to location
  • Flexible work arrangements, including hybrid, onsite, or virtual options based on the role and business needs
  • Generous paid parental leave, subject to location
  • Complimentary access to global onsite wellness centers staffed by nurses and doctors, subject to location
  • Free, confidential counseling through the Healthy Minds program
  • Career development and training programs

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B2BEnergetikaIshlab chiqarish
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GibridTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaRahbar yordamchisi

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FanSog‘liqni saqlashTa’lim
USAmerika Qo‘shma ShtatlariMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMijozlar muvaffaqiyatiMijozlarni saqlab qolish bo‘yicha mutaxassis

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