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 Institute’s 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 world’s 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 we’re 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.

TGI's 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 it’s 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 institute’s 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 Institute’s Performance Management and Development Policy.
• Demonstrate commitment to GIS’s 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 GIS’s 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 GIS’s Performance Management and Development Policy.
• Act as a role model and ensure the team’s commitment to GIS’s 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

• Bachelor’s 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 <Director - Data Platform & Engineering> in the subject line to HR (GIS) gis-recruitment@george-services.com 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.