{"id":1351077,"url":"https://alion.io/job/dbs-engineering-team-lead-customer-management-analytics-institutional-banking","title":"Engineering Team Lead, Customer Management & Analytics, Institutional Banking","company":{"id":451141,"name":"DBS","domain":"dbs.com","url":"https://alion.io/company/dbs-4","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":282,"ghost_share":0,"stale_share":0.975,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2175},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-22T01:51:37Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"Job Objective\nGroup Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we digitalise majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.\nWe are seeking a highly experienced and hands-on technology leader to drive the next generation of digital banking capabilities across customer onboarding, relationship management, workflow automation, data intelligence and Agentic AI platforms.\nThe role requires a leader who is equally comfortable engaging senior business stakeholders, defining technology architecture, managing engineering delivery, and coaching high-performing teams.\nPrincipal Responsibilities\nTechnology Leadership\nLead the architecture, design and delivery of strategic digital banking platforms supporting customer acquisition, account opening, servicing, workflow automation and relationship management.\nDefine and execute technology roadmaps covering Generative AI, Agentic AI, advanced analytics, big data and intelligent automation capabilities.\nDrive modern engineering practices, platform modernization and cloud-native architecture adoption.\nEstablish technical standards, governance frameworks and engineering best practices across the portfolio.\nAI, Data & Analytics\nLead the design and implementation of GenAI and Agentic AI solutions to improve customer experience, operational efficiency and employee productivity.\nDrive adoption of enterprise AI platforms, knowledge management solutions, Retrieval-Augmented Generation (RAG), agent orchestration frameworks and conversational AI capabilities.\nBuild and scale data-driven capabilities leveraging big data platforms, advanced analytics, machine learning and decision intelligence.\nPartner with business stakeholders to identify and prioritize high-impact AI and analytics use cases.\nDelivery & Engineering Management\nLead multiple engineering squads across distributed locations and functions.\nManage engineering leads, developers, data engineers and platform specialists.\nOwn delivery outcomes including scope, quality, stability, security, scalability and operational performance.\nDrive Agile and DevSecOps practices, ensuring timely and predictable delivery of strategic initiatives.\nBusiness & Stakeholder Engagement\nPartner closely with business, operations, product, architecture, risk and compliance teams.\nTranslate complex business requirements into scalable and maintainable technology solutions.\nCommunicate effectively with senior management, steering committees and executive stakeholders.\nManage delivery in a matrix organisation involving multiple departments, countries and vendor partners.\nPeople Leadership\nRecruit, develop and retain high-performing technology talent.\nProvide coaching, mentorship and career development for engineering managers and technical specialists.\nFoster a culture of innovation, accountability, collaboration and continuous improvement.\nEducation and Relevant Experience\nExperience\nMinimum 10 years of relevant technology experience, with significant experience in banking or financial services.\nProven experience managing engineering teams and delivering large-scale enterprise platforms.\nDemonstrated experience operating in multinational organisations with matrix reporting structures.\nTrack record of delivering mission-critical customer-facing platforms and digital transformation programmes.\nExposure to commercial, corporate, SME, wealth management or transaction banking platforms.\nExperience evaluating and implementing emerging technology solutions.\nStrong understanding of risk, security, data governance and regulatory requirements in financial institutions.\nExperience leading AI transformation programmes within banking.\nDemonstrated ability to influence technology strategy at senior leadership level.\nPassion for innovation, continuous learning and talent development.\nDomain Expertise\nStrong experience in one or more of the following areas:\nGenerative AI and Agentic AI\nData Analytics and Business Intelligence\nBig Data Platforms and Data Engineering\nCustomer Relationship Management (CRM)\nDigital Customer Onboarding\nAccount Opening Platforms\nWorkflow and Business Process Management Systems\nCustomer Service and Case Management Platforms\nTechnical Capability\nDeep knowledge and practical experience in:\nEnterprise architecture and solution design\nDistributed systems and microservices\nAPIs and event-driven architectures\nCloud platforms and container technologies\nData platforms, data lakes and analytics ecosystems\nAI/ML platforms and GenAI deployments\nSystem integration and enterprise workflow orchestration\nSoftware engineering lifecycle, DevSecOps and CI/CD practices\nLeadership & Communication\nStrong stakeholder management and influencing skills.\nAbility to lead through complexity in a matrix environment.\nExcellent written and verbal communication skills.\nExperience working with teams across multiple geographies and cultures.\nProfessional working proficiency in English and Mandarin, with the ability to engage effectively with regional stakeholders, business partners and technology teams.\nEducation\nBachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related discipline.\nRelevant certifications in cloud, data, AI, architecture or Agile delivery would be advantageous.\nLocation:\nGuangzhou (DTC)Job:\nTechnologySchedule:\nRegularEmployee Status:\nFull time","description_format":"text","description_chars":5605,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail 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