Sr. Manager Data

Barcelona, Spain or Hydrabad, India Role Overview As the Data Science Lead for Supply Chain and Manufacturing Platforms, you will lead initiatives that optimise operational performance, enhance resilience, and drive intelligent decision-making across the value chain. Your focus will include developing advanced  models, predictive maintenance algorithms, and behavioural analytics to improve throughput, reduce downtime, and anticipate disruptions. You will be responsible for designing and refining forecasting models for demand, inventory, and production planning, as well as simulation frameworks that evaluate alternative scenarios and guide strategic choices across procurement, logistics, and manufacturing operations. Collaborating closely with stakeholders from all business units, you will identify opportunities for AI-driven insights, build predictive and prescriptive models, and implement solutions that improve agility, service levels, and cost efficiency. In parallel, you will develop intelligent tools that empower frontline and planning teams—delivering timely alerts, personalised recommendations, and actionable insights that accelerate decision-making and improve daily execution. You will ensure best practices in data modelling are followed, promote consistency and scalability across platforms, and work closely with data engineering to deploy robust, business-ready solutions that integrate seamlessly into existing workflows. Your Key Responsibilities Lead the design, development, and deployment of AI/ML models for supply chain and manufacturing applications, such as demand forecasting, inventory optimization, production scheduling, and predictive maintenance. Oversee data cleaning, preprocessing, and feature engineering to ensure high-quality inputs for models that drive operational efficiency and resilience. Implement orchestration frameworks and pipelines (e.g., Kedro) to automate and streamline workflows for simulation, optimization, and predictive analytics. Collaborate with engineering teams to deploy models in microservice-based architectures using FastAPI or similar frameworks, ensuring scalability and integration with manufacturing execution and planning systems. Conduct linear and non-linear optimization, scenario simulation, and advanced analytics to support strategic and tactical decision-making across procurement, logistics, and production. Communicate insights effectively to stakeholders, translating complex data science outputs into actionable recommendations for supply chain and manufacturing leaders. Mentor and lead a team of data scientists in the supply chain and manufacturing domain, providing guidance on best practices, code quality, and technical growth. We offer: Enterprise-wide influence – Shape the design and structure of data models that underpin reporting and AI solutions across all business units, ensuring data consistency and high impact. Innovation with purpose – Develop and implement advanced data modeling techniques that enable the creation of meaningful AI models and BI tools to address real business challenges. A collaborative ecosystem – Work alongside digital partners, business leaders, and external experts to deliver unified, trusted data models that support cohesive analytics. A culture of trust and ethics – Lead the development of data models with integrity, ensuring all solutions adhere to the highest standards of fairness, transparency, and compliance. You bring: Strong expertise in Python, FastAPI, and microservice-based AI/ML deployments. Hands-on experience with orchestration frameworks such as Kedro or similar pipeline tools. Proven experience in data cleaning, feature engineering, and advanced analytics. Background in linear optimization and predictive modeling. Familiarity with AI/ML applications in the consumer insights and sales pipelines, or related domains. Excellent leadership, communication, and collaboration skills About dsm-firmenich At dsm-firmenich, we don't just meet expectations – we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it is fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future.  Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help – just let us know what you need, and we'll do everything we can to make it work. We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.