Iván CADENA-GUÁQUETA

– Project examples: LLM and GenAl Use Case definition for the operations of a french insurance. – Strategy definition to merge two departments working with data for a TV broadcaster. – Definition of change management and technical unification. 4M€ identified savings. – Project manager of the Data Marketing operations of a fast food chain in France & Spain. – Internal responsibilities: Business development - writing and responding to RFPs. – Team management & recruiting. – Defining, building and maintaining. – partnerships with tech companies.

– Project examples: Creation of a benchmark of GenAl tools and architecture for visual content creation. – Project Manager Officer for the Data & Al portfolio (12 Use Cases) of a french company working in energy management. – Creation of a strategic benchmark in Al for the Energy Management Market. – Structuring 1/ the near-shore delivery center for the digital marketing operations and 2/the on-shore strategy definition team of a French car manufacturer. – Internal responsibilities: Business development - writing and responding to RFPs. – Peer coaching, recruiting & marketing – Team management.

– Project examples: Data Product Owner for the Data management squad in a multinational assurance company. – Project manager for the Data & Al learning program of a french banking group. Users ranged from high-executives to data citizens (for both technical and non technical roles) – Product Manager for Bl and predictive analytics products of a french department store – Internal responsibilities: Writing and responding to RFPs. – Business development.

– Project examples: Product manager of a digital marketing tool unifying email and social media campaigns. The development team consisted of designers, data scientists, data engineers and marketeers. – Project manager for a Customer Data Platform integration for a multi-brand, multi-country finance client. – Internal responsibilities: Spanish and italian markets referent. – Partnerships manager. – Peer coaching and internal change management.

Being the client-facing point of contact for technical projects involving data science and data analysis. Translating business requirements into technical specifications. Supporting in answers to RFPs.