(Confidential) Head of AI & Data

Head of Artificial Intelligence and Data Salary: Competitive and based on experience Location: Taipei City Keywords: AI-first strategy, Enterprise data platform, Responsible AI, Financial services, MLOps pipelines, Data governance, Human-in-the-loop design, Engineering excellence, Regulatory compliance, Business impact A leading financial services organisation in Taipei City is seeking a Head of Artificial Intelligence and Data to spearhead the transformation towards an AI-first operating model. This pivotal role offers you the opportunity to shape and deliver enterprise-wide AI and data strategies, ensuring responsible, explainable, and ethical decision-making within a highly regulated environment. You will be at the forefront of driving measurable business impact by embedding advanced AI solutions across core operations, distribution channels, and customer experiences. The organisation values flexibility, continuous improvement, and a supportive engineering culture that empowers teams to innovate while maintaining robust governance and compliance standards. If you are passionate about building high-performing teams, modernising legacy systems, and integrating cutting-edge AI capabilities into digital platforms, this is your chance to make a lasting difference. * Lead the strategic direction for AI and data initiatives, translating vision into actionable roadmaps that drive tangible outcomes across financial operations, distribution, and customer engagement. * Build and scale a multidisciplinary team from the ground up, fostering a collaborative environment where technical leaders thrive and engineering excellence is celebrated. * Champion responsible AI practices with human-in-the-loop controls, ensuring all solutions meet rigorous regulatory requirements while enhancing productivity, efficiency, and customer satisfaction.

What you'll do:

As Head of Artificial Intelligence and Data based in Taipei City, you will play a central role in shaping the future of technology within a regulated financial services environment. Your day-to-day responsibilities will involve setting strategic direction for all AI initiatives—translating high-level business goals into detailed execution plans that deliver measurable results. You will oversee multidisciplinary teams tasked with designing scalable architectures for modern data platforms while ensuring every solution meets stringent security and compliance standards. By embedding agile methodologies across engineering squads, you will accelerate innovation cycles without compromising on quality or governance. Your leadership will be instrumental in transitioning experimental prototypes into robust production deployments that enhance employee productivity and elevate customer experiences. Through close partnership with business stakeholders and risk functions alike, you will ensure seamless adoption of new technologies while managing budgets effectively to maximise return on investment. Ultimately, your success will be measured by your ability to build a world-class team capable of delivering transformative outcomes through responsible use of artificial intelligence.

• Define and execute an AI-first strategy that aligns with enterprise business priorities, transforming strategic objectives into actionable portfolios and delivery roadmaps.
• Lead cross-functional AI product squads focused on supporting core financial operations, distribution networks, and customer experience enhancements to ensure rapid adoption and value realisation.
• Provide architectural oversight for enterprise-scale AI and data platforms, guaranteeing scalability, security, reliability, and full regulatory compliance throughout the solution lifecycle.
• Take accountability for end-to-end delivery of AI and data solutions at scale—from initial design through production deployment to ongoing lifecycle management.
• Own the development of enterprise data architecture including lakehouse design, feature stores, streaming pipelines, enforcing robust data contracts and quality standards.
• Implement comprehensive MLOps practices such as CI/CD for models, performance monitoring, drift detection, rollback strategies, and observability to maintain operational excellence.
• Establish frameworks for responsible AI including explainability protocols, fairness assessments, human-in-the-loop controls, and transparent governance mechanisms.
• Collaborate closely with Information Security and Risk teams to embed secure AI patterns, privacy-by-design principles, and ensure adherence to all regulatory mandates.
• Modernise legacy technology stacks by integrating advanced AI capabilities into digital platforms that support both customer-facing and advisor experiences.
• Recruit, develop, mentor and coach technical leaders across multiple disciplines while nurturing an outcome-oriented engineering culture committed to continuous improvement.

What you bring:

To excel as Head of Artificial Intelligence and Data you will bring extensive experience guiding technology transformations within regulated industries—particularly financial services—where accountability for compliance is critical. Your background should include hands-on involvement with state-of-the-art AI platforms alongside deep knowledge of cloud infrastructure best practices. You are adept at establishing robust governance structures that balance innovation with risk mitigation while championing transparency in all aspects of model development. Your proven ability to recruit talented professionals across multiple disciplines ensures your teams are equipped to tackle complex challenges collaboratively. With strong interpersonal skills you naturally build trust among stakeholders ranging from engineers to C-suite executives—facilitating smooth adoption of new technologies organisation-wide. Your academic credentials underpin your technical authority while your passion for nurturing talent drives ongoing professional growth within your teams. Above all else your commitment to responsible AI ensures every initiative delivers positive outcomes for both customers and employees alike.

• Over 15 years’ experience in technology leadership roles with at least 5 years in senior or executive positions overseeing large-scale transformation programmes.
• Demonstrated track record leading production-grade AI solution development within highly regulated financial services environments where compliance is paramount.
• Deep hands-on familiarity with modern AI platforms such as Databricks as well as cloud-based machine learning tools (e.g., AWS SageMaker), feature stores, Kubernetes orchestration systems.
• Proven expertise implementing comprehensive frameworks for AI governance including model risk management protocols aligned with industry regulations.
• Extensive understanding of financial services operations coupled with knowledge of relevant regulatory considerations impacting technology delivery.
• Bachelor’s degree in Computer Science or related discipline; Master’s or PhD preferred for advanced technical depth.
• Experience building high-performing teams from inception through scale-up phases—recruiting top talent across product management, ML engineering, data engineering and MLOps specialisms.
• Ability to foster a collaborative culture centred on engineering excellence where continuous improvement is encouraged at every level.
• Strong interpersonal skills enabling effective partnership with information security teams as well as business leaders driving change management initiatives.
• Exceptional communication abilities allowing you to translate complex technical concepts into clear business value propositions for diverse audiences.

What sets this company apart:

This organisation stands out as a forward-thinking leader in the financial services sector—committed to leveraging artificial intelligence responsibly to transform how business is conducted at every level. Employees benefit from a culture that prioritises flexibility in working arrangements alongside continuous learning opportunities designed to keep skills sharp amid rapid technological change. The company invests heavily in modernising its technology stack so you can work with the latest tools while enjoying strong support from knowledgeable colleagues who share your enthusiasm for innovation. Leadership places genuine emphasis on ethical decision-making processes supported by robust governance frameworks—ensuring all advancements serve both organisational goals and broader societal interests. Here you’ll find an inclusive environment where collaboration is valued just as highly as technical expertise—making it an ideal place for those who want their contributions recognised while making a meaningful impact on the future of finance.

What's next:

If you are ready to shape the future of artificial intelligence within a leading financial institution—and believe your expertise can drive responsible innovation at scale—we encourage you to take the next step today.

Apply today by clicking on the link provided; join us in redefining what’s possible through ethical AI leadership.