AI Products Expert – Enterprise Planning

Job title : AI Product Expert- Enterprise Planning

• 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 people’s 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 world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.

B Corp certified in multiple markets , we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.

Job Summary We are seeking a AI Products Expert – Enterprise Planning with deep expertise in IBP (Integrated Business Planning) and Data Science/AI to drive innovation in our IBP process. You will act as a bridge between IBP functions (e.g., demand planning, supply planning, financial integration, procurement, logistics etc.) and the Data Science/AI teams to develop and deploy data-driven solutions that optimize performance across the entire IBP value chain. The ideal candidate brings deep experience in advanced analytics, data modelling, AI/ML, with a passion for converting complex business problems into scalable, intelligent data products.

Job Highlights & Main Responsibilities

• Business & Functional Expertise

• Serve as the subject matter expert across key FMCG functions (Sales, Marketing, Supply Chain, Finance, Procurement, Operations), understanding their planning and operational needs.
• Translate business challenges into actionable data and AI product requirements.

• Strong familiarity with functional KPIs such as forecast accuracy, service levels, inventory, financial variances, customer/channel performance, procurement efficiencies, and marketing ROI.

• Data Product Strategy: Lead the development and execution of data-driven products (e.g., AI models, forecasting tools) that improve supply chain efficiency, inventory management, demand forecasting, and optimization.
• AI & Data Science Leadership: Spearhead the use of AI/ML to solve complex supply chain challenges—implement predictive analytics, demand forecasting models, and optimization algorithms.
• Collaboration: Act as the key liaison between supply chain teams and data science, engineering, and IT teams, ensuring seamless communication and alignment between business and technical stakeholders.
• Data Modeling & Management: Oversee the design and integration of robust data models and pipelines, ensuring high-quality, accurate data flows amongst IBP, supply chain systems and data science tools.
• Forecasting & Analytics: Implement and improve demand forecasting models using AI and machine learning techniques to enhance decision-making, optimize resources, and reduce costs.
• Continuous Improvement: Drive the adoption of data-driven practices across the supply chain, continuously refining processes and performance through insights and analytics.

About You

• Education: Bachelor’s or Master’s degree in Supply Chain Management, Data Science, Engineering, or related fields. Experience:

10+ years of experience in analytics, supply chain, business planning, or data product management in FMCH or similar industries. At

least 6+ years of hands-on experience applying AI/ML to real-world business processes. Strong

background working with cross-functional teams and enterprise planning processes. Experience

designing and deploying LLM-powered and agentic AI solutions (RAG, autonomous agents) using OpenAI API, Claude, and frameworks like LangChain. Strong understanding of MCP-based integrations, embeddings, and scalable AI systems. Proven

track record leading AI-driven product initiatives (e.g., forecasting models, optimization algorithms, predictive analytics).

• Technical

Skills Expertise in data management (SQL), AI/ML frameworks (e.g., Python, TensorFlow, Scikit-learn, PyTorch) and machine learning algorithms applied to supply chain data. Experience with cloud data platforms (AWS, Azure, Google Cloud) and building…