Lead Consultant - Knowledge graph expert

AstraZeneca GmbH; Chennai District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

AstraZeneca GmbH is seeking a Technical Product Lead in Chennai district, India. This role involves overseeing the strategy and delivery of various data products that enhance supply chain processes, partnering with experts across multiple fields.

The ideal candidate will possess experience delivering large-scale digital solutions and a strong background in solution architecture, particularly with cloud technologies like AWS. This position thrives on the ability to drive innovation through data and AI products in a collaborative setting.

Qualifications

• Experience in Supply Chain, Manufacturing, Logistics, or related domains.
• Hands-on experience with cloud-based Data Platforms.
• Experience in Agile environments.

Responsibilities

• Oversee the strategy and delivery of data and AI products.
• Drive the adoption of Data, Analytics, AI, and Generative AI capabilities.
• Lead multi‑functional delivery teams across various workstreams.

Skills

Experience delivering large-scale Digital products

Strong Solution Architecture

Experience with AWS or equivalent

Experience with Snowflake or similar

Stakeholder management

Agile product delivery

Education

Bachelor’s degree in computer science, IT, Engineering or related

Tools

Neo4j

React.js

Node.js

Job description

Job Title: Technical Product Lead

GCL E

Introduction to role:

Are you ready to turn complex supply chain data into intelligent products that accelerate medicines to patients? Do you thrive at the intersection of product leadership, sophisticated analytics and real-world impact?

As a Lead Technical Product Manager, you will oversee the strategy and delivery of data and AI products. These products help with planning, sourcing, and delivery in our global operations. You will partner with experts across manufacturing, supply chain, and technology to shape a product portfolio that boosts reliability, speed and agility, while introducing GenAI capabilities that elevate decision-making and productivity.

This is a hands‑on leadership role that blends product thinking with technical depth. You will translate business objectives by developing technical plans, define scalable solution architectures, govern engineering delivery, and lead multi‑functional teams to deliver measurable business outcomes. Your work will help the organization improve service levels, reduce operational risk, increase supply chain transparency, and ultimately accelerate the delivery of life‑changing pharmaceutical products to patients.

• Accountabilities Product Strategy and Alignment: Lead the development of technical products aligned with business goals, focusing on high‑value supply chain outcomes and measurable impact.
• Solution Architecture Leadership: Define and govern end‑to‑end solution architecture for Data, Analytics, AI, and Digital Supply Chain products, ensuring alignment with enterprise architecture standards and business objectives.
• Data, AI & Innovation Enablement: Drive the adoption of Data, Analytics, AI, and Generative AI capabilities to enhance supply chain visibility, decision‑making, and operational efficiency. Identify and evaluate emerging technologies, accelerating innovation through practical and scalable implementations
• Technical Delivery & Execution: Lead multi‑functional delivery teams across Data Engineering, Knowledge Graph, Application Development, Analytics, and AI workstreams. Ensure successful execution through effective planning, dependency management, governance, and delivery excellence.
• Stake‑holder & Vendor Leadership: Partner with business stake‑holders, enterprise architects, product teams, and external vendors to align priorities, manage risks, and drive successful outcomes.
• Provide technical leadership across delivery partners while ensuring consistency to architecture, quality, and operational standards.
• Roadmap Decomposition: Break down feature epics into technical tasks, manage dependencies across teams, and remove blockers to maintain delivery momentum. Resource Optimization: Optimize resource allocation through data‑driven prioritization, balancing short‑term wins with long‑term platform health.
• Scaling, Governance & Continuous Improvement: Establish operating models, governance frameworks, and reusable technology patterns that enable the long‑term balanced growth of supply chain digital solutions. Drive continuous improvement through engineering excellence, data quality, observability, and platform optimization.
• Essential Skills / Experience
• Experience delivering large‑scale Digital products in Supply Chain, Manufacturing, Logistics, Operations, or related domains. Proven ability to lead end‑to‑end delivery of complex technology programs involving multiple multi‑functional teams and vendor partners.
• Strong Solution Architecture experience, including defining scalable application, integration, and data architectures aligned to enterprise standards. Hands‑on experience with modern cloud‑based Data Platforms and Data Engineering solutions, including data ingestion, transformation, orchestration, and serving patterns.
• Experience working with enterprise‑scale cloud ecosystems (AWS, Azure, or equivalent) and cloud‑native architecture principles. Experience designing and implementing Enterprise Knowledge Graph solutions, including graph data modelling and platforms such as Neo4j.
• Experience with modern Data Warehousing solutions including Snowflake or similar cloud‑based technologies. Solid understanding of API‑led integration, application architecture, and modern web application delivery, including front‑end frameworks (ex:React.js) and back‑end/API technologies(ex:Node.js, FastAPI).
• Demonstrable ability to translate business requirements into technical roadmaps and generate tangible business impact comes. Strong stake‑holder management, communication, and leadership skills, with the ability to engage business, architecture, engineering, and vendor teams.
• Experience working within Agile product delivery environments. Bachelor’s degree in computer science, Information Technology, Engineering, Data Analytics, or a related subject area, with equivalent experience also considered.
• Desirable Skills / Experience
• Experience within Pharmaceutical, Life Sciences, Healthcare, or other regulated industries.
• Experience with Analytics, Business Intelligence, Data Visualization, and Decision Support solutions.
• Familiarity with Machine Learning, Artificial Intelligence, and Advanced Analytics use cases.
• Exposure to Generative AI, Conversational AI, Agentic AI, or Retrieval‑Augmented Generation (RAG) architectures.
• Experience developing digital twin or control tower solutions for supply chain management. Experience establishing engineering governance, architecture review processes, and technology standards.
• Master’s Degree, MBA, or other sophisticated qualification or equivalent experience in a relevant team.

Why AstraZeneca:

Join a global technology and data community that partners across boundaries to unlock the potential of science through digital products. Here, diverse minds gather—engineers, data scientists, product leaders, and supply chain experts in the same room—sparking bold ideas and turning them into reality. We are doubling down on our data‑led ambition, investing in modern platforms and empowering teams to experiment, learn fast and scale what works. You will find the freedom to own outcomes, the backing to tackle complex challenges, and a culture that values courtesy alongside ambition. Your work will have a direct line of sight to patients, improving how medicines are made and delivered worldwide.

Call to Action:

Seize this opportunity to lead data and AI products that transform supply chains and accelerate patient impact—bring your expertise to AstraZeneca and help shape what’s next today!

Date Posted

03-Jul-2026

Closing Date

23-Jul-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.