Senior Specialist-Clinical Coding & Assets

About Amplify Health
Who We Are
Amplify Health Asia Pte. Limited (Amplify Health) is a pan-Asian health technology and analytics company which brings together health technology assets, proprietary data analytics and healthcare expertise to support innovation across the healthcare value chain.
Headquartered in Singapore, Amplify Health operates in 10 markets across the region: Australia, Hong Kong, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore, Thailand and Vietnam.
Amplify Health develops integrated solutions that empower healthcare payors, providers and policymakers across Asia to identify value and drive new partnerships, understand variation and address systemic inefficiencies—with the aim of improving outcomes for individuals and the sustainability of health systems.
Powered by a clinically enriched data foundation, Amplify Health’s health intelligence platform combines modular AI solutions, context-aware automation and deep regional insights to offer localised, AI-powered health solutions spanning health payment integrity to chronic disease management. The company’s technology has earned recognition at several industry competitions, including the Celent Model Insurer Awards, ITC Asia Awards and SBR Technology Excellence Awards.
As an ISO27001 certified organisation, Amplify Health maintains clearly defined policies, structured oversight mechanisms and ongoing risk assessments that ensure alignment with global best practices on enterprise data security.
Our Vision and Ambition
To build the leading healthcare AI and platform services company in Asia that transforms the delivery of health and wellness for patients and communities by combining and leveraging the distinctive and complementary assets and strengths of AIA and Discovery.
Amplify Health will simplify access to health data and AI Innovation to accelerate distinct and disruptive healthcare value insights and resulting improvements in health outcomes through value-based care, personalised care plans and aligning individuals’ lifestyle/ behavioural choices.
By 2028, Amplify Health will have in place one of Asia’s strongest health-tech and AI capabilities; a comprehensive, integrated health technology stack supported by precision insights derived from proprietary data pools.
The Position
Role Overview
We are seeking a strategic and experienced healthcare leader to own the end-to-end Clinical Coding & Assets portfolio.
The role combines leadership of clinical annotation and encoded-data optimization with the creation, acquisition, validation, integration, maintenance and governance of clinical coding assets, ontology development, crosswalks, reference lists and grouper systems.
The successful candidate will ensure that the encoded clinical data is accurate, clinically meaningful, scalable and fit for use across products, analytics, automation and client implementations. This role requires deep expertise in international healthcare coding, billing and terminology standards, automation tools, together with strong leadership and stakeholder engagement across APAC and global markets.
Responsibilities
1. Portfolio strategy, governance and roadmap
Own the strategy, roadmap and operating model for the Clinical Coding & Assets portfolio.
Prioritize portfolio initiatives based on client needs, market requirements, product value, regulatory considerations and scalability.
Establish governance for asset development, acquisition, ingestion, annotation, validation, implementation, versioning, monitoring and retirement.
Track portfolio performance and identify opportunities to improve coverage, accuracy, usability, automation and operational efficiency.
Prepare quarterly management updates and lead roadmap planning, sprint planning and backlog grooming.
2. Clinical coding & encoded-data optimization
Lead end-to-end clinical annotation and validation processes across international, regional and client-specific coding systems.
Lead and manage initiatives to improve encoded-data coverage, clinical accuracy, usability and scalability across markets and implementations.
Lead the definition of clinical and operational logic underpinning encoded data and supervise its alignment with business workflows and intended product use.
Manage and supervise audits to assess completeness, accuracy and alignment with expected outputs, and lead resolution of escalated discrepancies or anomalies.
Partner with coding, terminology, interface and data science teams to improve automation, modelling, ground-truth datasets and scalable data workflows.
Support product teams in improving coding accuracy and enabling responsible use of generative AI and other automation models.
3. Clinical assets ingestion, integration and lifecycle management
Lead the onboarding of new clinical coding assets into the central database and ensure data integrity, consistency and alignment with established models and standards.
Oversee the creation, acquisition, validation, maintenance and controlled release of classifications, code sets, reference lists, crosswalks and related terminology assets.
Collaborate with terminology, engineering and data science teams to define and implement scalable schemas, properties and data structures.
Serve as the subject matter expert for schema scalability and localization across countries, clients and products.
Ensure seamless and traceable integration of clinical assets and encoded data into databases and downstream product workflows.
4. Clinical Ontology development and governance
Lead and manage the end-to-end development, implementation and lifecycle governance of clinical and billing ontologies that support coding, claims, analytics, automation and product use cases.
Supervise the design of ontology domains, concept hierarchies, properties, relationships, modifiers and metadata, ensuring structures are clinically valid, mutually exclusive where required, scalable and reusable across markets.
Lead the definition of ontology principles, modelling standards, naming conventions, semantic rules and acceptance criteria, and ensure consistent application across the team.
Manage the mapping and alignment of ontology concepts to source terminologies, classifications, local code sets, reference lists and billing constructs while preserving provenance and traceability.
Supervise clinical annotation, expert review, testing and quality assurance of ontology content, including the resolution of ambiguous, overlapping or conflicting concepts.
Lead collaboration with product, engineering, data science, coding and operational teams to translate business and clinical requirements into implementable ontology schemas and data models.
Manage ontology versioning, change control, release documentation, impact assessment and communication to downstream users and systems.
Lead the development of reusable ontology assets and decision logic that improve semantic interoperability, encoded-data consistency, explainability and automation readiness.
Supervise ontology performance monitoring and continuous improvement using coverage, accuracy, usability, consistency and implementation feedback.
5. Clinical Assets - Crosswalks, classifications and grouper systems
Lead and supervise the development, validation and refinement of crosswalks between coding systems, including SNOMED CT, ICD variants, CPT and other relevant classifications.
Manage mapping governance, version control, traceability and documented rationale for mapping decisions.
Lead comparative analyses of Diagnosis-Related Group systems and other clinical or reimbursement groupers across markets.
Supervise documentation of differences between grouper methodologies and lead assessment of implications for product configuration, analytics, reimbursement and reporting.
Translate international standards and methodologies into practical, market-relevant recommendations.
6. Clinical data assessment and standardization
Lead reviews of market-specific clinical and claims data and recommend suitable standardization and coding approaches.
Define and validate schemas, property structures and data rules against clinical, operational and business requirements.
Support harmonization of heterogeneous source data while preserving source meaning, traceability and market-specific requirements.
Establish repeatable quality controls for data assessment, standardization and encoded-data releases.
7. Product and solution enablement
Lead cross-functional engagement with product, clinical, actuarial, analytics and data science teams during requirement gathering and solution design.
Manage ongoing subject matter support for coding, terminology, ontology, assets and grouper-related queries across portfolios such as Provider Management, Member Risk Profile, Chronic Disease Management, Rules and Benefits, and Asset Management.
Ensure that portfolio outputs are clinically relevant, usable by clients and aligned with product strategy.
Lead clarifica

Work arrangement
Hybrid