Job title: Data & AI Product Expert – Sales & Revenue Growth Management - 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. 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 http://www.opella.com. About the job: We are seeking a hands-on Data & AI Product Expert to provide the technical data modeling & engineering and applied-AI capabilities behind Opella’s Sales and Revenue Growth Management data domains. Reporting to the Data & Analytics Lead – North America and partnering closely with the Data Product Lead – Revenue Growth Management, this role supplements existing deep RGM functional expertise on our team with strong technical depth in modern data platforms (Snowflake, Databricks) and emerging AI tooling. You will design and build the data models, pipelines, and AI-enabled solutions that power Revenue Growth Management (RGM), Trade Promotion Management (TPM), and Trade Promotion Optimization (TPO) across our Fast-Moving Consumer Health (FMCH) / Consumer Packaged Goods (CPG) business. We are looking for someone who is technically strong, eager to apply new AI capabilities, and comfortable turning RGM business requirements into well-engineered, AI-ready data products. Main responsibilities: - - Optimize the RGM data foundation: design, develop, and maintain data models, pipelines, and semantic layers in Snowflake and Databricks that integrate the source data behind RGM, TPM, and TPO – including SAP (invoice, sell-in), syndicated market data (sell-out), financial (cost and pricing), trade promotion data, leaflet/flyer data, and master and mapping data (esp. customer and product). - Partner with the Revenue Growth Management Data Product Lead, translating business/functional requirements and use cases into well-engineered, scalable technical solutions and acting as the technical modeler and builder behind RGM data products. - Develop AI-enabled solutions – applying agentic and AI-assisted coding, AI workflow automation, retrieval-augmented generation (RAG), and AI-ready sales data infrastructure to accelerate delivery, automate manual data processes, and unlock new analytics and self-service capabilities for RGM, TPM, and TPO. - Engineer for quality and traceability: perform source-to-target mapping, author functional and technical specifications, and conduct system integration and user acceptance testing (SIT/UAT) to ensure data integrity and accuracy across RGM data products. - Enable insight and governance: build and maintain dashboards and ad-hoc reports (e.g., Power BI) on the RGM data foundation, and support data governance practices including data quality, lineage, and cataloging, collaborating with Data Architecture & Engineering and Commercial/RGM teams. About you: - ​ - 3–5 years of experience in data modeling/engineering, analytics, or a similar hands-on technical data role (early-career to mid-level). - Hands-on data modeling and engineering with Snowflake and/or Databricks (preferred) – building pipelines, transformations, and semantic layers – backed by agentic coding, strong SQL and a working understanding of ETL/ELT, orchestration, and agentic workflows. - Familiarity with applied AI capabilities – agentic and AI-assisted coding, AI workflow automation, retrieval-augmented generation (RAG), and building AI-ready data infrastructure. - Consumer Packaged Goods (CPG) industry experience, ideally with exposure to Revenue Growth Management (RGM), Trade Promotion Management (TPM), and/or Trade Promotion Optimization (TPO) data, processes, and/or applications (e.g., XTEL). - Working knowledge of CPG RGM data architecture and how it is assembled from SAP (invoice, sell-in), syndicated market data (sell-out), financial (cost and pricing), trade promotion data, leaflet/flyer data, and master and mapping data. - Comfort using AI-assisted development tools to accelerate engineering work; experience with GitHub Copilot preferred. - Experience building dashboards and reports (e.g., Power BI / DAX) and supporting data governance practices such as data cataloging. - Ability to collaborate with business stakeholders and our RGM Data Product Lead in translating business and functional requirements into engineered solutions, with strong communication skills, a self-motivated and proactive mindset, comfort with ambiguity, and familiarity with Agile delivery. Why us? At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day. We Are Challengers. We are dedicated to making self-care as simple as it should be. That starts with our culture. We are challengers by nature, and this is how we do things: All In Together: We keep each other honest and have each other's backs. Courageous: We break boundaries and take thoughtful risks with creativity. Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity. Radically Simple: We strive to make things simple for us and simple for consumers, as it should be. Join us on our mission. Health. In your hands. http://www.opella.com/en/careers