Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Head of Data overseeing data management and analytics for ADEO’s Omnicommerce strategy. Driving AI-driven solutions and fostering a data culture within the organization.
Responsibilities
- Support Omnicommerce pillars in developing autonomy: ad hoc analyses, hypothesis validation, acting as the Business Owner for data, while implementing robust data engineering practices compliant with "global ready" standards
- Deploy and oversee fundamental Data Management processes: data quality, metadata, lineage and data sharing across all platform products (Data Mesh)
- Support digital product teams to translate business needs into AI-driven solutions tailored to the Omnicommerce challenge
- Design and ensure implementation of a data-centric platform within digital products, in collaboration with central teams (GTDP platform)
- Propose, lead and deploy Agile experiments: Proof-of-Concepts, prototyping and pilots
- Build data literacy among business teams for ML/AI thinking, hypothesis validation and extracting insights from data
- Hire, mentor and lead a high-performing multidisciplinary team
- Lead the Group Data initiative, in collaboration with other Heads of Data and the CDO, to harmonize practices and accelerate data transformation across the group.
Requirements
- You have designed and industrialized large-scale data pipelines and know how to implement robust Data Engineering practices, ideally on GCP
- You have significant experience in Data Management, including data quality, governance, cataloging and secure data sharing, and have worked with data mesh approaches
- You have developed and put into production Data Science and AI models, from experimentation to operational deployment (MLOps, GenAI)
- You can translate business needs into actionable dashboards and analyses, industrialize self-service tools and train non-technical users in their use
- You have led rapid experiments, PoCs and MVPs, in coordination with business and product teams, within an agile framework
- You are fluent in English and able to collaborate with international teams.
Benefits
- A stimulating environment that encourages initiative and entrepreneurial spirit
- Role-specific training to develop your skills
- Quarterly team bonuses and the opportunity to become a shareholder
- Flexible remote work policy
- Career development and internal mobility opportunities within an international group
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