Job Description

72027 | IT & Tech Engineering | Professional | Non-Executive | Allianz Singapore | Full-Time | Permanent
Entity: Allianz SE Singapore Branch
#L1-RS1
Job Purpose
The Regional Lead for Data & AI owns the data and analytics architecture blueprint and the technology roadmap for the region. As the owner of the Regional Data Strategy, you will drive the implementation of the strategy in the AZAP Operating Entities (OEs) and identify areas for harmonization to increase the reusability of strategic data & AI assets across the region.
As a Machine Learning and AI Expert, your primary responsibility will be to work with the business leads to identify opportunities to apply advanced analytics techniques, including machine learning and artificial intelligence, to solve complex business problems and to drive business growth and efficiencies. Your work will contribute to optimizing business processes, improving decision-making, enhancing customer experience and drive innovations enabled by data and AI. You will collaborate closely with cross-functional teams to identify, design and to develop data and AI solutions from ideation phase to production.
The role includes governing information management for the Asia Pacific region, providing oversight and steering of OEs' implementation of Group and Regional data initiatives and selection of technology components and platforms that are fit for purpose for the region. You will provide guidance and support to the OEs Head of Data Office in their execution of their respective data plans and lead the regional data governance, data platform and co-lead the business data solutions communities.
What you do
You will

• Develop business-focused data & AI strategy and solutions to support the business
• Identify and drive the adoption and scaling of data & AI use cases across the AZAP region
• Liaise with the business and ensure regional data initiatives meet the business objectives within cost and time boundaries
• Define and manage the Regional Data & Analytics Architecture Blueprint and Roadmaps for Data Governance, Data Platform and Data & AI Solutions
• Ensure OEs' design implementation of data related initiatives are aligned with the regional Data roadmap
• Provide architecture support to the regional transformation teams in the rollout of regional data related initiatives to OEs in line with regional business and IT strategy
• Deliver architecture blueprint that supports an integration with other regional platforms and existing/interim OE platforms and solutions
• Ensure the regional data architecture is compliant with various regulatory requirements
• Serves as a core member of the AZAP Architecture Review Board. Steers the local OE towards a common architecture and common regional platforms
• Act as a trusted advisor to the Regional Head of Technology & Architecture and regional stakeholders (Regional COO, OEs COOs & CIOs, OE Head of Data Office and business owners)
• Stay abreast of advancements in ML and AI: Keep up to date with the latest trends, research, and advancements in the fields of machine learning and artificial intelligence. Identify and propose innovative solutions to business challenges, leveraging emerging technologies and techniques
• Lead the Data & AI Community across the region

What you bring

• Experience in successful execution and rollout of data strategy and data initiatives at local and regional level
• Excellent stakeholder management, communication and presentation skills
• Outstanding ability to work as part of a team across different countries, cultures, and business functions
• Expertise in machine learning and AI: Strong knowledge and practical experience in applying various machine learning techniques, LLMs, agentic AIs and emerging standards such as MCP
• Expertise in Data & Analytics Platforms: Proficiency in data platforms and infrastructure, including data lakes, data warehouses, and cloud-based data & AI platform services (e.g., AWS, Azure, GCP)
• Expertise in Data Management: Hands-on experience in at least 6 of the Knowledge Areas as defined in DAMA-DMBOK Data Management Framework (Data Governance, Data Architecture, Data Modeling & Design, Data Storage & Operations, Data Security, Data Integration & Interoperability, Document and Content Management, Reference and Master Data, Data Warehousing and Business Intelligence, Metadata, Data Quality)
• University degree related to Computer Science or Engineering
• At least 10 years of experience in data management, data analytics and minimum of 5 years of experience in machine learning and AI
• At least 5 years of Insurance industry experience

What we offer

• We are one of the Worlds Best Workplaces (Singapore 2024) & Great Place to Work.
• Be part of a team thats open-minded, supportive, and genuinely focused on customer outcomes.
• A sense of belonging in the workplace, where you are welcomed and encouraged to bring your most authentic self to work.
• An employer that is committed to supporting hybrid work and readily provides flexible & remote work options.
• Access to LinkedIn Learning and Degreed and career opportunities across the world, to support your continuous learning and you taking control of your career development.
• Robust and comprehensive benefit offerings for your health and well being
• Initiatives to support your financial wellness through selected discounted Allianz insurance products, pension contributions and our referral bonus scheme.
• The opportunity to take part in our Employee Share Purchase Program - own a piece of your employer.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter
where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation.
Join us. Let's care for tomorrow. '