Senior Specialist, Product Data & AI

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

You are the senior technical authority for one product's Data & AI capability. While product owner defines “What & Why”, you are responsible for “How” of the AI/ML solutions. You decide what enters the product model line and what does not, set the standard those models are built to, and make sure every customer implementation team can deploy them through configuration rather than new code. You are hands-on enough to be credible in review, and senior enough to hold a line under delivery pressure.

Responsibilities

Product Strategy, Architecture and Technical Leadership

• Work with the Tech/ Clinical Lead and Product Managers to shape what we build, own how it is built for Data & AI: defining the technical strategy, architecture and capability roadmap.
• Act as senior technical authority on high-risk decisions, trading off value, risk, scalability and cost.
• Translate ambiguous business and healthcare problems into structured solutions with clear success metrics.
• Lead due diligence on foundation models, platforms and vendors, including build-versus-buy.
• Be able to engage customers to market test viability of technical product features with collaboration with product managers.Reusable Product Capability
• Design capability where models, retrieval and agents are runtime components of the product, not development aids.
• Enforce a single product code line, differentiated by configuration, never by customer forks.
• Set foundational model strategy: what ships as a foundation capability, what is trained on customer data later.
• Define patterns for configuration, bounded fine-tuning, observability, fallback and human oversight.Data Contracts, Pipelines and Analytical Assets
• Define the product's data contracts, so customer activation becomes verification, not bespoke transformation.
• Own the product's feature assets, including derivation logic and point-in-time correctness, with Data Engineering.
• Own the product's metrics and semantic layer, so a measure means the same thing for every customer.
• Set schema and versioning standards, and shape platform priorities so data dependencies stay reproducible.
• Deliver ad-hoc analysis and insight, define and validate the product's metrics, and lead dashboards that track adoption and realised value across customersScientific Standards, Evaluation and Responsible AI
• Establish evaluation frameworks covering accuracy, calibration, robustness, groundedness, safety, bias and privacy.
• Set standards for validation, explainability, fairness, model risk and monitoring.
• Define acceptance criteria, sign off every change to product model code, and classify customer requests as configuration, enhancement, bounded extension or out-of-product.
• Independently validate models built by customer implementation teams, never your own squad's.
• Ensure privacy, security and safety controls proportionate to each model's risk tier.AI-Assisted Development
• Champion responsible adoption of AI development tools, with approved patterns, controls and value measures.
• Govern assistants as productivity tools, and separately validate what runs inside the product.Stakeholder Influence and Capability Building
• Influence executive strategy, investment and risk decisions through evidence, uncertainty and trade-offs.
• Author the product's documentation, playbooks and customer implementation explanation packs.
• Build capability through certification content, mentorship and standards, and develop senior technical talent.

Candidate Profile

Required Qualifications

• 8+ years building and deploying production machine learning and AI, with a substantial record of measurable impact.
• Depth in several of predictive modelling, causal inference, forecasting, fraud detection or optimisation, plus hands-on NLP, transformer and LLM/RAG experience.
• Proven experience designing reusable, configurable model architectures that deploy across multiple customers or markets without bespoke rebuilds.
• Expert proficiency in Python, SQL, PySpark, Databricks, MLflow, PyTorch, cloud ML platforms and LLM APIs.
• Strong grounding in model evaluation, validation, monitoring and Responsible AI: fairness, explainability, groundedness, hallucination detection, safety, privacy.
• Ability to set and hold a technical standard across teams, and to influence senior stakeholders without relying on formal authority.
• Experience mentoring senior technical talent; 3+ years leading data science teams is highly desirable.
• Excellent written and verbal communication, including explaining technical trade-offs to non-technical audiences.

Preferred Qualifications

• Bachelor's or master's in computer science, statistics or a related technical field.
• Healthcare or health insurance domain experience: payer or provider analytics, claims, population health, care management, clinical operations or health data platforms.
• Experience with healthcare privacy, security and regulated-environment requirements.
• Strong knowledge of MLOps, LLMOps, CI/CD for ML, feature stores, model registries and monitoring at scale.

What Good Looks Like

• Your product's models deploy to a new customer through configuration, not a rebuild.
• Every release ship with the documentation, playbooks and evidence implementation teams need.
• You are the person others seek out for a high-stakes technical judgement, and you are willing to say no to a request that would fork the product.
• The squad's quality holds when you are not in the room.

Join Us

If you are passionate about leveraging data to drive healthier outcomes across Asia and thrive in a dynamic, mission-driven environment, we encourage you to apply.

Amplify Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.