Lead Consultant - Knowledge graph expert at AstraZeneca

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Knowledge Graph, Generative AI, Data Engineering, Product Management, Cloud Platforms, Neo4j, Snowflake, API Integration, Agile Delivery, Stakeholder Management, Supply Chain Management, React.js, Node.js, FastAPI, Data Modeling

Industry

Pharmaceutical Manufacturing

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. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Responsibilities

Lead the strategy and delivery of data and AI products to optimize global supply chain operations. Oversee end-to-end solution architecture and lead multi-functional teams to implement scalable AI and Knowledge Graph capabilities.