Lead Consultant - Knowledge graph expert

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.

• AccountabilitiesProduct 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 >

  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.