Job title: Data & AI Product Expert M&S

• 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 www.opella.com.

Home Opella

We simplify self-care, empowering individuals by putting health in your hands, for our communities and our planet. Learn more about our brands.

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About the Job

The Data & AI Product Expert is responsible for driving data- and AI-powered use cases across the Manufacturing & Supply (M&S) domain, covering Supply Chain, Manufacturing, Quality, and HSE (Health, Safety and Environment). The ideal candidate will have a minimum of 10 years of experience in data analytics. While the role spans all M&S domains, the primary focus areas are Supply Chain and Manufacturing, which represent the core value drivers of the position. The role combines deep SAP expertise with strong capabilities in Ontology / Semantic Layer design, data product ownership, and AI solution development, with a strong hands-on execution component.

Main responsibilities:

·        Stakeholder Engagement: Acting as a Forward Deployed Engineer (FDE), closely collaborate with Supply Chain, Manufacturing, Quality and HSE stakeholders, embedding within business teams to identify and deliver high-value Data & AI use cases.

·        Hands-on Delivery: Actively work directly within systems (SAP, Snowflake / Databricks, DBT, Power BI and AI tools), ensuring both design and execution.

·        Data & AI Use Case Leadership: Lead end-to-end Data & AI use cases from ideation to industrialization.

·        Ontology / Semantic Layer Design: Design and implement scalable ontology-driven semantic layers integrating SAP and enterprise data.

·        Dashboard & Application Development: Build Power BI dashboards and contribute to AI-driven applications.

·        Data Governance & Validation: Ensure quality, lineage and compliance across M&S domains.

About You:

Required Skills & Qualifications

·        Business Understanding: Strong Supply Chain and Manufacturing expertise (primary focus), with exposure to Quality and HSE.

·        SAP Expertise (Mandatory): Minimum 5 years’ hands-on SAP experience in M&S domains.

·        Hands-on Technical Capability: Proven ability to implement solutions directly in systems.

·        AI & Data Product Development: Experience delivering ML and GenAI solutions.

·        Technical Skills: Snowflake / DataBricks, DBT, Power BI and AI tools expertise.

·        Experience: 10+ years in M&S data environments.

·        Education: Degree in Engineering, Data Science or related field.

Soft and Behavioral Skills

·        Challenger Mindset: Demonstrates a proactive and questioning mindset, constantly challenging the status quo and driving innovation in Data & AI use cases.

·        All In, Together: Strong collaboration across global, cross-functional teams, acting as a bridge between business and technical stakeholders in an FDE setup, fully aligned with shared objectives.

·        Outcome-obsessed: Focuses relentlessly on delivering measurable business impact, prioritizing high-value outcomes, particularly in Supply Chain and Manufacturing.

·        Courageous: Takes ownership, makes decisions in complex environments, and drives initiatives forward end-to-end, even under uncertainty.

·        Radically Simple: Ability to simplify complex data, SAP processes, and AI solutions into clear, actionable insights and scalable products.

·        Ownership & Accountability: Takes full ownership of delivery, ensuring not only solution design but also hands-on implementation and successful deployment.

·        Communication: Clea…