Technical Product Lead, Operations IT - Data, Analytics & AI, Digital Transformation @ AstraZeneca

Introduction to role:Are you ready to drive innovation in a leading pharmaceutical company? Join our Data Analytics and AI (DA&AI) team within Operations IT as a technology-driven leader. You'll spearhead the development of cutting-edge Data and AI products, leveraging Data Mesh architecture, Semantic Layers, and AI/ML to transform manufacturing operations. As a Technical Product Lead, you'll play a pivotal role in shaping our data strategy and driving scalable, high-impact AI solutions like AI-powered predictive maintenance and Smart Factory automation. Collaborate with cross-functional teams to ensure data-driven initiatives align with business objectives and enable the next generation of intelligent manufacturing.Accountabilities:- Technology Leadership: Define and implement Data Mesh architecture, Semantic Layers, and AI/ML strategies to build scalable and reusable data products for manufacturing.- End-to-End Data & AI Product Development: Lead the development of technical data and AI solutions, ensuring they align with business goals and digital transformation initiatives.- AI-Powered Innovation: Drive the adoption of AI/ML models, predictive analytics, and generative AI to optimize manufacturing efficiency, sustainability, and operational excellence.- Data Architecture & Engineering: Oversee the design and implementation of enterprise data platforms, real-time analytics pipelines, and data governance frameworks.- Cross-Functional Collaboration: Partner with business and IT leaders, aligning data strategies with manufacturing, digital transformation, and sustainability objectives.- Agile Execution: Break down feature epics into technical deliverables, manage dependencies, and ensure the timely delivery of high-quality, scalable AI and data products.- Continuous Improvement & Innovation: Stay at the forefront of emerging data & AI technologies, conducting research and driving innovation in pharmaceutical manufacturing.- Data-Driven Decision Making: Leverage advanced analytics and AI to optimize resource allocation, production efficiency, and business insights.Essential Skills/Experience:- Deep expertise in Data Analytics, AI/ML, and Digital Products within a Data Mesh and Semantic Layer framework.- Strong experience in data engineering, analytics platforms, and scalable AI model deployment.- Proven track record…

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