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

We are hiring a Customer Data & AI Lead to serve as the single accountable owner of the Data & AI outcome for one customer, across every product they run. This role configures and fine-tunes product models to the customers’ reality, migrates legacy pipelines onto productised ones, and keeps everything healthy in production, without ever changing product code.

The ideal candidate combines depth in analytics, machine learning, NLP and generative AI with the integration judgement to make models/ insights work against real customer data, and the stakeholder confidence to say no to a scope request without damaging the relationship.



The candidate leads all data scientists on the customer implementation team.

Responsibilities

Customer Ownership and Technical Leadership

- Own the end-to-end Data & AI outcome for one customer, across every product in scope.
- Act as senior technical authority for the customer implementation scope, leading all data scientists.
- Translate customer problems into solutions deliverable within the product's supported boundary.
- Decide customer-side technical direction; raise a change request rather than build beyond the boundary.

Data Flow and Integration

- Work with data engineering team to verify customer data against product data contracts, and drive conformance rather than absorb the gap.
- Migrate legacy customer -specific pipelines onto productised ones, without breaking live delivery.

Model Configuration and Delivery

- Configure and fine-tune ML, NLP and GenAI models using approved training code and artifacts, never new product code.
- Run the implementation-readiness gate before any customer commitment is made.
- Classify every customer request as configuration, enhancement, bounded extension or out-of-product before work starts.
- Own technical acceptance of the solution on behalf of the pod.

Production Health and Monitoring

- Own monitoring, drift detection, retraining triggers and named ownership for every live model at the customer.
- Diagnose degradation before the customer reports it, and lead incident response and rollback.
- Keep model documentation and customer -context knowledge current, so it does not leave when a person does.
- Re-check subgroup performance, oversight capacity and fairness evidence at the required cadence.

Stakeholder Management, analytics and Value

- Explain models, defend results and manage expectations with customer technical and business stakeholders.
- Work with Customer Success and the Implementation Lead on adoption and value realisation.
- Escalate product gaps into the roadmap rather than solving them locally.
- Communicate uncertainty, trade-offs and limitations honestly to non-technical audiences.
- Deliver ad-hoc analysis and insight for the customer, validate metrics against their data, and lead dashboards that track adoption and realised value.

Capability Building

- Build cross-product certification coverage, so the pod can work across all the products.
- Coach and develop the data scientists, raising delivery and scientific standards.
- Contribute customer learning and reuse opportunities back to the product teams.

Candidate Profile

Required Qualifications





- 8+ years delivering production machine learning and AI, with a record of deployments that reached real users.
- Practical breadth across predictive modelling and advanced analytics, plus hands-on NLP and LLM/RAG experience.
- Proven experience integrating models into complex customer environments: messy source data, incomplete fields, shifting definitions, fixed deadlines.
- Expert proficiency in Python, SQL, PySpark, Databricks, MLflow, PyTorch, cloud data and ML platforms, and LLM APIs.
- Robust grounding in production monitoring, drift detection, retraining and model troubleshooting — not only model building.
- Experience migrating bespoke analytics or pipelines onto a productised platform.
- Ability to lead a mixed technical team and hold delivery accountability across several products at once.
- Confident with customer stakeholders: able to explain a model, defend a result and decline a scope request without damaging the relationship.
- Excellent written and verbal communication with technical and non-technical audiences.
- Ability to influence executives and cross-functional leaders, and to develop senior technical talent.
- Experience working in a matrix organisation and demonstrated ability to work in a fast-paced, demanding environment while managing stakeholder expectations, priorities and timelines.
- Strong awareness of emerging technology trends in AI, Generative AI and Agentic AI, and the ability to assess what they mean for health tech products from both opportunity and risk perspectives.

Preferred Qualifications

- Bachelor's or master's degree in computer science, statistics or a related technical field.
- Healthcare or health insurance domain experience: claims, payer or provider analytics, population health, care management or clinical operations.
- Experience with healthcare data standards, privacy requirements and regulated environments.
- Working knowledge of MLOps, CI/CD for ML, feature stores and model registries.
- Experience in a matrix organisation, balancing customer commitments against product constraints.

What Good Looks Like

- Is recognised as the organisation’s technical authority for ML, AI, NLP and agentic-system decisions.
- Shapes enterprise AI strategy while remaining credible in hands-on architecture and technical review.
- Delivers AI systems that are measurable, grounded, safe, secure, scalable and economically sustainable.
- Creates reusable platforms and standards that multiply impact across teams, products and markets.
- Builds a strong technical community and credible external reputation in healthcare AI.

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.

📌 Senior Specialist, Customer Data & AI (Gurgaon OR Noida) (Gurugram)
🏢 Amplify Health
📍 Gurugram