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

Join our Data Analytics and AI (DA&AI) team within Operations IT to drive innovation in a leading pharmaceutical company. We are seeking a technology-driven leader to spearhead the development of cutting-edge Data and AI products, leveragingData Mesh architecture, Semantic Layers, and AI/ML to transform manufacturing operations.

As a Technical product lead which is Director level position in Data Analytics & AI teams, you will play a pivotal role in shaping our data strategy, driving the development of scalable, high-impact AI solutions such as AI-powered predictive maintenance, Smart Factory automation, Factory Flow Visualization, and GenAI-based innovations. You will work closely with cross-functional teams, ensuring that data-driven initiatives align with business objectives and enable the next generation of intelligent manufacturing.

Key Responsibilities:

• 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 optimizeresource 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 of leading complex AI, ML, and data product development initiatives.

• Hands-on experience in building AI/ML-driven solutions such as predictive maintenance, anomaly detection, and smart automation.

• Proficiency in the full software development lifecycle (SDLC), including cloud-based data architectures (AWS, Azure, GCP), big data processing frameworks, and MLOps.

• Strong technical leadership with the ability to drive AI/ML adoption across manufacturing operations.

• Experience working in Agile environments, managing cross-functional teams, and collaborating with business stakeholders.

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field.

Preferred Qualifications:

• Master’s, MBA, or PhD in AI, Data Science, or a related field.

• Experience in Pharmaceutical Manufacturing, Industry 4.0, or Sustainability-driven AI solutions.

• Expertise in DataOps, MLOps, and AI governance best practices.

• Strong background in Product Management & AI/ML Solution Architecture.

• Experience in a large multinational enterprise with a focus on data-driven digital transformation.

This role offers a unique opportunity to drive AI and data innovation in pharmaceutical manufacturing, leveragingcutting-edge technologies to enable smart factories and next-gen automation. If you are a technology leader passionate about data-driven transformation, we encourage you to apply!