Senior Data & AI Consultant, Madrid
Empresa
EPAM
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Senior Data & AI Consultant
Are you a forward-thinking professional with a strong background in Data and AI? Join as a Data AI Consultant in the Consumer Retail practice and bridge the gap between business problems and real, adopted data and AI solutions. Work from the first client conversation through to production, collaborating with engineers and data scientists to deliver measurable business impact. You wont be writing code or building models, but you will need enough technical fluency to define precise requirements, assess what is feasible and hold your ground in a conversation with an architect or a data scientist.
Responsibilities
Shape pursuits and proposals by defining problems, scoping approaches and building value narratives for Consumer Retail clients
Lead client discovery workshops with senior stakeholders to frame real business problems and define successful outcomes
Build business cases by identifying, prioritising and sizing data and AI use cases, translating them into KPIs, investment rationale and delivery roadmaps
Own the workstream end-to-end, covering requirements, backlog, data readiness, governance and value tracking through to adoption
Brief Data Engineers, Data Scientists and Solution Architects to design scalable solutions, defining the what and why
Produce clear executive-level materials and present recommendations to leadership
Translate business needs into precise technical requirements and assess feasibility
Track value and ensure solutions are adopted, not just delivered
Facilitate communication between client stakeholders and technical teams
Support delivery of typical Consumer Retail analytics problems such as pricing, promotions, merchandising, customer growth and supply chain analytics
Requirements
Bachelors or Masters degree in a relevant field
Deep expertise in Consumer Retail, gained in-industry or through consulting with retailers, CPG, eCommerce or wholesale clients
Consulting experience with structured problem-solving, stakeholder management and executive-level communication
Data and AI literacy to define requirements, KPIs and translate between business and technical audiences
End-to-end delivery experience from problem framing and business case to adoption
Ability to facilitate workshops and frame business problems
Strong communication skills for presenting to leadership and technical teams
Experience managing workstreams and tracking value through to adoption
Comfort with ambiguity and ownership of outcomes
Proactive, collaborative and customer-focused approach
Nice to have
Familiarity with major cloud platforms such as Azure, GCP or AWS
Experience with advanced analytics or GenAI patterns in Consumer Retail
Knowledge of enterprise platforms like SAP, Salesforce or major ERP and CRM systems
Background in data governance, data quality frameworks or operating model design
Agile delivery or product management experience
Change management and adoption skills
Data, AI, Azure, GCP, AWS, SAP,
Are you a forward-thinking professional with a strong background in Data and AI? Join as a Data AI Consultant in the Consumer Retail practice and bridge the gap between business problems and real, adopted data and AI solutions. Work from the first client conversation through to production, collaborating with engineers and data scientists to deliver measurable business impact. You wont be writing code or building models, but you will need enough technical fluency to define precise requirements, assess what is feasible and hold your ground in a conversation with an architect or a data scientist.
Responsibilities
Shape pursuits and proposals by defining problems, scoping approaches and building value narratives for Consumer Retail clients
Lead client discovery workshops with senior stakeholders to frame real business problems and define successful outcomes
Build business cases by identifying, prioritising and sizing data and AI use cases, translating them into KPIs, investment rationale and delivery roadmaps
Own the workstream end-to-end, covering requirements, backlog, data readiness, governance and value tracking through to adoption
Brief Data Engineers, Data Scientists and Solution Architects to design scalable solutions, defining the what and why
Produce clear executive-level materials and present recommendations to leadership
Translate business needs into precise technical requirements and assess feasibility
Track value and ensure solutions are adopted, not just delivered
Facilitate communication between client stakeholders and technical teams
Support delivery of typical Consumer Retail analytics problems such as pricing, promotions, merchandising, customer growth and supply chain analytics
Requirements
Bachelors or Masters degree in a relevant field
Deep expertise in Consumer Retail, gained in-industry or through consulting with retailers, CPG, eCommerce or wholesale clients
Consulting experience with structured problem-solving, stakeholder management and executive-level communication
Data and AI literacy to define requirements, KPIs and translate between business and technical audiences
End-to-end delivery experience from problem framing and business case to adoption
Ability to facilitate workshops and frame business problems
Strong communication skills for presenting to leadership and technical teams
Experience managing workstreams and tracking value through to adoption
Comfort with ambiguity and ownership of outcomes
Proactive, collaborative and customer-focused approach
Nice to have
Familiarity with major cloud platforms such as Azure, GCP or AWS
Experience with advanced analytics or GenAI patterns in Consumer Retail
Knowledge of enterprise platforms like SAP, Salesforce or major ERP and CRM systems
Background in data governance, data quality frameworks or operating model design
Agile delivery or product management experience
Change management and adoption skills
Data, AI, Azure, GCP, AWS, SAP,