Foundation Data Lead

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. 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 standardised 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.

• Data Engineer [Foundational AI Platform Build | Greenfield Data Transformation]

  Singapore, Singapore