Director Data Platform and Engineering

About The George Institute

We are a medical research institute affiliated with leading universities aiming to challenge the status quo in health care. With 700 people around the world and projects in over 40 countries our Strategy 2025 is all about impact specifically the impact of The George Institutes activities on the health of millions of people particularly those living in disadvantaged circumstances around the world.

Our strategy focuses on three key research priorities:

Better Treatments: finding better treatment for the worlds biggest health problems

Better Care: transforming primary health care to support better health for more people

Healthier Societies: harnessing the power of communities governments and markets to improve health

Here is a sample of the things we are doing to achieve our goal of having the greatest possible impact on global health:

We are identifying better and safer treatments for the biggest killers like stroke heart disease and high blood pressure.

In many countries our award winning FoodSwitch smartphone app is helping people make healthy food choices when shopping.

In China we ran a successful education and awareness program to reduce the amount of salt eaten by people by 25% each day

In rural India we have shown that mobile technology can help diagnose mental health as well as help treat cardiovascular disease and were looking at similar approaches to treating chronic diseases in Indonesia and China.

Together with Aboriginal communities in NSW Australia we developed an innovative community led program to assist young Aboriginal drivers attain their license now implemented in a dozen of locations.

We are developing an affordable dialysis machine with potential to save millions of lives each year and transform the way kidney disease is treated globally.

George Institute Services India

George Institute Services India Pvt Ltd (GIS) is a step-down subsidiary of The George Institute for Global Health Australia (TGI) and has been set up as a commercial for-profit entity to provide advisory and consulting services in the healthcare space undertake commissioned research and provide various services to overseas group entities.

Context and Role

The George Institute has started to develop a data & digital strategy which includes a set of recommendations on how to develop and leverage analytical capabilities to support our core mission. We now need to refine these recommendations and develop and implement a specific action plan in line with our overall strategy for 2030.

TGIs Data platform & engineering capability plays a pivotal role in our mission to harness the power of data to improve health outcomes globally.

As part of the above strategy Director - Data Platform & Engineering is a pivotal role who will lead our data engineering function through its next phase of growth and transformation. This role is not just about building data pipelines but its about ensuring data engineering becomes a strategic enabler for growth insights intelligence and innovation.

As the steward of our data platform you will focus on engaging with various business and functional teams i.e research project innovation & operation and corporate functions (HR/ Finance/ Legal / IT / Communications / Impact & Engagement) build a product roadmap for enterprise and research data translate complex technical possibilities into clear business value and implement them through well-defined engineering lifecycle. You need to ensure data quality data governance cost governance and operational efficiency while enabling analytics machine learning capabilities and decision-making at scale.

Reporting Relationships

The Director - Data Platform & Engineering reports to the Chief Data & Digital Officer of TGI. The Director of data platform & engineering will manage data and platform architects data engineers data visualization engineers appointed to the data & insights program. S/he is also expected to engage with several internal and external stakeholders involved with or interested in the analytics and reporting capability.

Duties and Key Responsibilities

• Own and evolve our data platform & engineering strategy enterprise data architecture ensure data quality availability and accessibility across the organization with clear SLAs and accountability.
• Build and optimize data infrastructure and operations for cost-efficiency scalability and ease of use.
• Build a scalable data marketplace capability to monetize institutes critical data assets.
• Build and lead a high-performing team of data engineers and architects - instilling a culture of ownership impact and curiosity.
• Partner with data science and ML teams to operationalize models and build AI-ready pipelines and platforms.
• Serve as the connective tissue between technical and non-technical stakeholders translating needs aligning priorities and ensuring data drives action.
• Run and continuously improve core data programs including ETL/ELT data observability and metadata governance.
• Stay abreast of emerging tools and practices in modern data stacks with a keen sense of what fits versus what dazzles.
• Develop and communicate a data engineering roadmap aligned with company goals and future growth.

As a Team Member:

• Participate in team meetings and activities relating to data engineering and analytics function and own work area.
• Take responsibility for personal learning and development and for setting achievable and meaningful work objectives and managing personal targets meeting obligations of the Institutes Performance Management and Development Policy.
• Demonstrate commitment to GISs values including performing to an exceptionally high ethical standard and focus on integrity collaboration and teamwork in all efforts.

As a Team Manager:

• Ensure direct reports understand and comply with GISs Policies and procedures standard operating practices ethical practice (with respect to research) and the legislative environment.
• Be responsible for managing performance of direct reports including the completion of plans and agreeing on work and personal objectives and reviewing such plans and objectives in accordance with GISs Performance Management and Development Policy.
• Act as a role model and ensure the teams commitment to GISs values ensuring direct reports perform to a high ethical standard and focus on integrity collaboration and teamwork in all efforts.

Work Health and Safety

• Comply with Work Health and Safety legislation and operate in accordance with established Occupational Health and Safety practice and procedures at the Institute.
• Promote and contribute to a safe secure environment for staff and visitors.

Skills Knowledge and Experience

• Bachelors degree in computer science Information Technology or equivalent (STEM) with minimum 15 years of analytics development experience.
• A minimum of 8 years of relevant experience working in at least 3 or more ETL/Database/Data Warehouse SQL technologies (Redshift PostgreSQL Snowflake Synapse etc).
• Design experience SME for data engineering design patterns collaboration across multiple data analytics teams such as data engineering data science data architecture mentoring other data engineers and leading a data engineering POD.
• Experience in designing and building dimensional data models to improve accessibility efficiency and quality of data.
• Experience building cloud-based data platforms (Azure preferred) and managing operations.
• Experience in designing and developing ETL data pipelines. Build a secure scalable data lake with streaming and batch ingestion from SAP Oracle Microsoft Dynamics CRM and other key enterprise systems.
• Proven track record of building reliable scalable and cost-conscious cloud-based data infrastructure and infrastructure as a service.
• Deep expertise in modern data tooling (e.g. Lakehouse architecture Snowflake Microsoft Fabric Azure data factory Microsoft Purview Unity Catalogue dbt Databricks Power BI etc.) and cloud-native architectures.
• Expertise in building DevOps CI/CD pipelines for dev to prod deployment.
• Experience supporting ML/AI initiatives and integrating data engineering with model development and deployment.
• Design and implement GenAI solutions such as enterprise search / knowledge assistants workflow copilots agentic AI design patterns and domain-specific agents including retrieval-augmented generation (RAG) patterns where appropriate.
• Strong understanding of data governance lineage observability and security best practices.

Please find the link of Position Description here

How to apply:

Interested candidates should send their resume with full contact details current and expected CTC/salary and notice period details. Clearly mentioning the job title - Data Platform & Engineering> in the subject line to HR (GIS) by 03 May 2026.

Our big and bold mission to improve the health of millions of people worldwide needs a diverse and innovative team to deliver it. So we foster a dynamic inclusive and flexible workplace where each individual can bring their best selves to work.

Everyone is encouraged to apply including people from culturally and linguistically diverse backgrounds people with a disability people of all gender identities and sexual orientations and mature-aged adults.