Engineering Team Lead, Customer Management & Analytics

该职位来源于猎聘

• Job Objective

We 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. The role requires a leader who is equally comfortable engaging senior business stakeholders, defining technology architecture, managing engineering delivery, and coaching high-performing teams.

• Principal Responsibilities

Technology Leadership

• Lead the architecture, design and delivery of strategic digital banking platforms supporting customer acquisition, account opening, servicing, workflow automation and relationship management.
• Define and execute technology roadmaps covering Generative AI, Agentic AI, advanced analytics, big data and intelligent automation capabilities.
• Drive modern engineering practices, platform modernization and cloud-native architecture adoption.
• Establish technical standards, governance frameworks and engineering best practices across the portfolio. AI, Data & Analytics
• Lead the design and implementation of GenAI and Agentic AI solutions to improve customer experience, operational efficiency and employee productivity.
• Drive adoption of enterprise AI platforms, knowledge management solutions, Retrieval-Augmented Generation (RAG), agent orchestration frameworks and conversational AI capabilities.
• Build and scale data-driven capabilities leveraging big data platforms, advanced analytics, machine learning and decision intelligence.
• Partner with business stakeholders to identify and prioritize high-impact AI and analytics use cases. Delivery & Engineering Management
• Lead multiple engineering squads across distributed locations and functions.
• Manage engineering leads, developers, data engineers and platform specialists.
• Own delivery outcomes including scope, quality, stability, security, scalability and operational performance.
• Drive Agile and DevSecOps practices, ensuring timely and predictable delivery of strategic initiatives. Business & Stakeholder Engagement
• Partner closely with business, operations, product, architecture, risk and compliance teams.
• Translate complex business requirements into scalable and maintainable technology solutions.
• Communicate effectively with senior management, steering committees and executive stakeholders.
• Manage delivery in a matrix organisation involving multiple departments, countries and vendor partners. People Leadership
• Recruit, develop and retain high-performing technology talent.
• Provide coaching, mentorship and career development for engineering managers and technical specialists.
• Foster a culture of innovation, accountability, collaboration and continuous improvement.
• Education and Relevant Experience

Experience

• Minimum 10 years of relevant technology experience, with significant experience in banking or financial services.
• Proven experience managing engineering teams and delivering large-scale enterprise platforms.
• Demonstrated experience operating in multinational organisations with matrix reporting structures.
• Track record of delivering mission-critical customer-facing platforms and digital transformation programmes.
• Exposure to commercial, corporate, SME, wealth management or transaction banking platforms.
• Experience evaluating and implementing emerging technology solutions.
• Strong understanding of risk, security, data governance and regulatory requirements in financial institutions.
• Experience leading AI transformation programmes within banking.
• Demonstrated ability to influence technology strategy at senior leadership level.
• Passion for innovation, continuous learning and talent development. Domain Expertise Strong experience in one or more of the following areas:
• Generative AI and Agentic AI
• Data Analytics and Business Intelligence
• Big Data Platforms and Data Engineering
• Customer Relationship Management (CRM)
• Digital Customer Onboarding
• Account Opening Platforms
• Workflow and Business Process Management Systems
• Customer Service and Case Management Platforms Technical Capability Deep knowledge and practical experience in:
• Enterprise architecture and solution design
• Distributed systems and microservices
• APIs and event-driven architectures
• Cloud platforms and container technologies
• Data platforms, data lakes and analytics ecosystems
• AI/ML platforms and GenAI deployments
• System integration and enterprise workflow orchestration
• Software engineering lifecycle, DevSecOps and CI/CD practices Leadership & Communication
• Strong stakeholder management and influencing skills.
• Ability to lead through complexity in a matrix environment.
• Excellent written and verbal communication skills.
• Experience working with teams across multiple geographies and cultures.
• Professional working proficiency in English and Mandarin, with the ability to engage effectively with regional stakeholders, business partners and technology teams. Education
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related discipline.
• Relevant certifications in cloud, data, AI, architecture or Agile delivery would be advantageous. Remark: Based on the hiring platform’s requirement, the posted salary range is for reference only. The actual salary offered will be based on role, internal & market benchmark, etc.