General information

Country: Singapore

Creation Date: 28-Jul-2026

Employment Type: Permanent

Employment Type: Full time

Ref #: 1234573314

Description & Requirements

Job location: Malaysia or Singapore

The Foundation Data Lead is responsible for executing the region's foundational data strategy and building data capability across Liberty's Commercial and Retail businesses. As a key member of the Data & Analytics APAC team, this role drives and implements critical data foundations, management, governance, and enablement services. It also ensures consistency across six markets to support analytics, reporting, AI/ML, and regulatory outcomes in line with the APAC Target Operating Model.

Responsibilities

Execution and Delivery Leadership

• Lead the execution of the region's Data & Analytics strategy in alignment with global objectives and business priorities.
• Translate the APAC Data & Analytics strategy into a practical delivery roadmap covering data foundations, standardisation, and business consumption.
• Balance regional consistency with market-specific regulatory, operational, and business requirements.

Collaboration & Stakeholder Management

• Work closely with functional leaders across Underwriting, Claims, Actuarial, Distribution, Finance, Compliance, and other key business areas to define data requirements upfront.
• Act as the connection between business demand and technical delivery.
• Partner with Technology and Data Engineering teams to ensure solutions are fit for purpose and that high-value initiatives are prioritized.
• Lead a federated enablement model, coordinating regional capabilities with in-market data teams.
• Define what is delivered centrally versus locally, reducing duplication while allowing for local market needs.
• Support markets at different levels of maturity by providing repeatable enablement patterns and reference implementations.

Data Foundations and Solution Delivery

• Ensure delivery of high-quality, scalable, and secure data solutions that meet business and regulatory requirements.
• Own the delivery of core data foundations that support analytics and reporting, including Unified Data Models (UDM), Standard views, Data Marts and Product, broker, client, and channel taxonomy alignment
• Define, adopt, and implement minimum data standards across markets.
• Reduce fragmentation, manual reconciliations, and legacy dependencies through a foundation-first approach.
• Promote self-service enablement through standardized datasets, governed access, and clear ownership.

Program and Project Management

• Own end-to-end programme and project management for the APAC Data Enablement portfolio; establish and enforce structured delivery governance including intake, prioritisation, scope control, milestones, dependencies, RAID management and executive reporting.
• Act as the single point of accountability for delivery across multiple concurrent regional and market initiatives, ensuring timelines, cost and scope remain aligned to business priorities.

Team Leadership & Development

• Lead, Inspire and develop a diverse team of data and analytics professionals (data analysts, data architects, data product owners, Business Analysists, Enablement specialists) across the region
• Build team capability through coaching, development, and talent planning, fostering a high-performance, and collaborative culture across the region.
• Define clear role boundaries and team interfaces to avoid duplication and delivery friction.
• Identify capability gaps and support workforce planning aligned to the Target Operating Model (TOM) roadmap.

Governance & Compliance

• Ensure Liberty's data governance, quality, and privacy standards are applied in line with global and regional regulatory requirements.
• Provide executive-level reporting on delivery progress, risks, and value delivered.
• Communicate the importance of foundational enablement work in supporting business outcomes such as growth, cost efficiency, risk management, and speed to insight.
• Represent enablement progress and outcomes in Steering Committees, ExCo forums, and audit discussions.

Key Skills

• Strong verbal and written communication skills
• Strong relationship management skills
• Advanced negotiation and influencing skills
• Strong analytical and problem-solving skills
• Ability to work to deadlines and high standards, with confidence leading through ambiguity in a changing environment.
• Excellent communication, influencing, and change management skills.
• Highly proficient relationship-building and influencing skills
• Strong time management and prioritisation skills
• Strong attention to detail
• Results driven
• Solid team player with strong business ethics

Experience & Requirements

• Extensive leadership experience in data, analytics, and AI, ideally within the Property & Casualty insurance or reinsurance sector.
• Proven experience leading data enablement and data product delivery across multiple initiatives within a federated regional and market operating model.
• Demonstrated delivery of business-critical data foundations that support analytics and reporting, including unified data models, standard views, data marts, semantic layers, and reference data/taxonomy alignment.
• Strong track record in leading large-scale transformation programs across multiple geographies, with solid program and project management capability, including intake management, prioritisation, scope control, milestone tracking, dependency management, RAID management, and executive reporting.
• Strong experience leading multicultural, geographically dispersed, multidisciplinary teams.
• Strong understanding of data governance and minimum standards.
• Experience working in a matrixed global organisation.