Program Manager, Manufacturing & Supply AI Transformation

Job title: Program Manager, Manufacturing & Supply AI Transformation Location: Hyderabad Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally. Our mission is to bring health in peoples hands by making self-care as simple as it should be. For half a billion consumers worldwide and counting. At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the worlds most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan. As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com. About the job: We are seeking an experienced Program Manager to drive the execution of Opellas Manufacturing & Supply Data and AI Transformation. This role focuses on translating strategy into action coordinating cross-regional initiatives, accelerating delivery, and embedding AI-enabled capabilities across the global Manufacturing & Supply network. The ideal candidate is a strong operator who brings a passion for AI and technology advancement, thrives in complex environments, and excels at orchestrating large-scale transformation programs with speed and focus. Operating at the heart of the MS.AI Factory, you will convert strategy and a live use-case pipeline into adopted, value-generating solutions across Supply Chain, Manufacturing, and Quality. Main Responsibilities Program Execution & Delivery Lead the end-to-end execution of Data & AI initiatives across Manufacturing & Supply from use-case intake and feasibility assessment through delivery, deployment, and adoption. Manage the project portfolio, ensuring alignment with transformation priorities and milestone achievement. Drive a high speed of execution through active issue resolution, prioritization, and stakeholder alignment. Operational Leadership Translate strategic direction into clear implementation plans and structured execution frameworks. Partner across functions Manufacturing, Supply, IT, Data Science, Quality, and Finance to ensure operational readiness and cohesion. Maintain disciplined governance across risk management, reporting, and resource planning. Challenger Mindset & Innovation Challenge existing processes constructively and introduce innovative, data-driven ways of working. Advocate for modern digital solutions and emerging technologies including AI, agents, and automation to drive meaningful improvement. Foster a culture of experimentation, learning, and continuous improvement. Stakeholder Engagement & Change Management Engage stakeholders across Europe and India to ensure alignment, collaboration, and adoption. Lead change efforts to embed AI, automation, and analytics into operational processes including Copilot enablement and the AI Champions network. Provide clear communication to leadership on progress, risks, and realized benefits. About you: Required Skills & Qualifications Software & AI Engineering: Strong hands-on development skills (Python), with production-ready software engineering practices OOP, coding standards, version control, testing, and CI/CD. Agentic AI & GenAI: Experience designing and deploying LLM-powered and agentic solutions (RAG, autonomous and multi-agent systems), with MCP-based integrations, embeddings, vector databases, and prompt engineering. System Integration: Proven ability to integrate solutions directly into enterprise systems via APIs; exposure to MES / QMS / ERP (SAP) and manufacturing / supply chain data. MLOps / AgentOps: Experience operationalizing models and agents automated build / test / deploy, monitoring, and observability (e.g., MLflow, Kubeflow or similar; GitLab CI/CD, Azure DevOps, Jenkins). Cloud & Data: Comfortable in cloud and high-performance environments (Azure, AWS, GCP, Databricks, Snowflake) and building data pipelines. Business Understanding: Familiarity with Supply Chain, Manufacturing, and Quality processes and KPIs, and the ability to translate business problems into deployable agents. Experience: [Add required years] of hands-on experience building and deploying production AI / software solutions; life-sciences or regulated (GxP) manufacturing experience is a strong plus. Education: Degree in Computer Science, Engineering, Data Science, or a related quantitative discipline. Education Bachelors degree required; advanced degree (MBA, Engineering, Data/AI) preferred. Experience 8+ years of experience managing large-scale transformation or digital programs. Strong exposure to Manufacturing & Supply environments, preferably global or regulated. Demonstrated experience deploying data, analytics, automation, or AI capabilities at .