Dilbeek, Flemish Region, Belgium
As an experienced leader in artificial intelligence, data management, data governance, and data analytics, I am currently responsible for leading the data & ai teams at Keytrade Bank. Our primary focus is to maximize the value of our data & ai, especially in serving our customers. We also encourage the use of data & ai throughout our company to help our associates make optimal decisions, improve customer experiences, and increase business efficiency. My top skills include data & ai literacy and adoption, developing roadmaps and a product vision, implementing governance, self-service (predictive) analytics, enterprise reporting/dash-boarding, data science, critical thinking and problem-solving, people management, change management, performance management, and lean improvements in terms of quantity, quality, and timing. Cheers!
- Serve as a member of the executive committee - Have fun with the team while working around data & artificial intelligence - Oversee data & AI governance, ensuring compliance with industry regulations, laws and standards - Foster the data science and analytics practice - Champion innovation with artificial intelligence - Promote a data- & AI-driven culture within the bank - Collaborate with the IT and security teams to ensure data integrity - Develop and maintain relationships with external partners and vendors
- Collaborate around data products - Create purpose, the data product vision and data product roadmap with the teams - Make impact, create (customer) value and reduce costs with data - Empower the company in smart usage of data - Implement a strong data governance for the full data value chain - Monetize data - Solve complex problems with data and artificial intelligence
- E2E accountable for BI - & analytics roadmap @ Delhaize - Implement methodologies, processes, architectures and technologies that transform raw data into meaningful information & insights - Ensure effective strategic, tactical and operational insight and decision-making to all stakeholders - Facilitate data Strategy & data management - Start AI and machine learning initiatives - Enable digital transformation
- Group multiple HR services that were previously in different departments - Create quality, cost & time improvements by focusing on delivering added value activities and eliminating non-added value activities - Lead the HR Administration & HR BI teams