Fair Trade Handels
Senior Data Science Manager — Head of Data Science
Feb 2018 – Sep 2018 · Lucerne · Employment ended for internal economic reasons.
+561%Quarterly revenue from a predictive marketing campaign
FirstDepartment of Data Science & Reporting created
Skills usedAI governance, risk & regulatory complianceMachine learning, deep learning & MLOpsData Strategy for AISolution & enterprise architectureData architecture, engineering & governanceSemantic engineering & knowledge managementInnovation & change managementTeam leadership & talent developmentBusiness value & financial managementProgramme, project & vendor managementDigital marketing & customer analyticsProduct & full-stack engineering
IndustriesRetail, consumer goods & e-commerceBiopharma, global health & life sciencesLogistics & supply chain
All 11 contributions
- Head of Data Science and member of the Senior Management Team, leading the shift to a data-driven culture and creating the company’s first Department of Data Science & Reporting.
- Defined and executed the new digital and data strategy — resources, technology and architectures — leading organisational change and aligning processes and resources to the new direction.
- Restructured functions, technical teams and programmes into a digital, data-driven organisation, optimising distribution, revenue management, pharmaceuticals, decision-making and sales operations.
- Led data governance on the DAMA Body of Knowledge framework, ensuring compliance with GDPR, SOPs, GMP and GCP.
- Built the data and reporting estate on Snowflake and implemented dashboards with KPIs for customer engagement, global supply chain, digital marketing, sales operations, change management and programme management.
- Achieved a +561% quarterly revenue increase with a data-analytics marketing campaign using predictive behaviour modelling for the 2018 World Cup.
- Delivered 8% savings on shipping fees through operations and supply-chain analytics, and +12% customer conversions through real-time campaign analytics.
- Introduced utilisation and capacity governance across distributed teams to balance growth, quality and profitability in regulated delivery environments.
- Defined market-access and commercial analytics strategies, improving visibility across key markets and supporting increased product uptake.
- Architected a new enterprise data architecture and data valuation model, changing how business processes measure and prioritise the value of data.
- Implemented end-to-end data-flow and integration standards and GDPR-compliant master data, making data FAIR across functions.