AstraZeneca
Technology
TechnicalProductLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Technical Product Lead at AstraZeneca. Skills: Product Strategy, Data and AI Products, Supply Chain. Lead product strategy and alignment. Coordinate discovery, build, and operation of analytics and ML solutions”
What You'll Achieve.
Accelerate medicines to patients; Boost reliability, speed and agility; Elevate decision-making and productivity; Perform at its peak; Shortening cycles; Improving service levels; Getting life-changing medicines to patients faster; Focusing on high-value supply chain outcomes; Measurable impact; Ensure value is realized at scale; Demonstrating clear business outcomes; Continuously deliver, scale, and sustain a growing product portfolio; Transform supply chains; Accelerate patient impact
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in IT, Computer Science, Data Analytics, or related field, Exposure of Pharma Supply Chain Domain, Experience of delivering Digital products using Data, Analytics, AI technologies, Expertise in Data Analytics, AI technologies, Experience leading complex data, AI projects, Proficiency in the full software development lifecycle, communication and stake-holder leadership skills, Experience working in Agile teams
Nice to Have
Master's Degree, M. B. A, or Ph. d in a relevant field, Product/Project Management experience in Data, Analytics & AI solutions, Previous involvement in a large multinational company, Pharmaceutical or similar environment, Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios, Possess working knowledge of basic prompting techniques and continuously improve these skills, Stay up-to-date with developments in AI and GenAI, applying new insights to work-related situations
What You'll Do.
Lead product strategy and alignment
and operation of analytics and ML solutions
Decompose roadmap into technical tasks
Manage dependencies and remove blockers
sustainable product delivery
Collaborate to design and deliver innovative solutions
Conduct research for continuous improvement
Evaluate and pilot GenAI tools
Optimize resource allocation
Maintain high standards for products and tools
Lead build of AI-powered supply chain use cases
Establish frameworks for continuous delivery and scaling
How You'll Work.
Team & Collaboration
Partner with experts across manufacturing, supply chain, and technology; Collaborate with technology and business teams; Bring together product, data science, engineering, and operations
Communication Scope
stake-holder leadership skills
Process & Methodology
Roadmap Decomposition, Manage dependencies, Remove blockers, Maintain delivery momentum
Full 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 Technical Product Lead, you will drive the strategy and delivery of data and AI products that power planning, sourcing and delivery across 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 bold goals into clear roadmaps, orchestrate cross-functional delivery, and scale solutions with robust engineering practices. Your work will help the business perform at its peak—shortening cycles, improving service levels, and ultimately getting life-changing medicines to patients faster. ## ## 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. * Coordinate the discovery, build, and operation of advanced analytics and machine learning solutions. This includes work from PoC to secure, observable, and reliable production. Ensure value is realized at scale. le. * Roadmap Decomposition: Break down feature epics into technical tasks, manage dependencies across teams, and remove blockers to maintain delivery momentum. * Quality, Scale, and Sustainability: Ensure high-quality, scalable, and sustainable product delivery through strong engineering standards, data governance, and performance management. * Stake-holder Partnership: Collaborate with technology and business teams to design and deliver innovative solutions, bringing together product, data science,
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