Data Strategy Manager

Capgemini Invent; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Capgemini Invent is seeking professionals to join the Data Strategy & Governance team in Madrid or Barcelona, focusing on designing and implementing innovative data strategies. You will contribute to transparent data architectures, governance frameworks, and cross-functional data centralization across operations and customer engagement.

The role emphasizes data quality, security, and scalable data solutions, with a strong focus on cloud platforms and industry-specific analytics, fraud detection,

Formación

• Experience in data architecture projects and conceptual design for clients.
• In-depth knowledge of data ingestion, transformation and storage processes.
• Familiarity with DAMA-DMBOK, DCAM or related data management frameworks.
• Experience with cloud integrations and data platforms.

Responsabilidades

• Develop transparent data architectures ensuring reliability and quality for critical business functions.
• Define and evolve the Data Governance framework to treat data as a strategic asset.
• Lead cross-functional data centralization initiatives to unlock insights and optimize performance.
• Collaborate to deliver scalable, hybrid data solutions aligned with industry needs.

Conocimientos

Data strategy

Data governance

Cloud platforms

Data modeling

Educación

Master's or Bachelor's in Computer Engineering/Telecommunications/Mathematics/Statistics

Herramientas

Azure

AWS

GCP

Descripción del empleo

At Capgemini Invent, we drive change through inventive transformation consulting, blending strategic, creative, and scientific capabilities to deliver cutting-edge solutions. Join us to tailor transformations to our clients' challenges, validated by science and data, powered by creativity and design, and underpinned by purposeful technology.

Your Role

As part of our Data Strategy & Governance team, you’ll work on impactful projects that:

• Develop transparent data architectures to ensure reliability, quality, and accessibility for critical business functions.
• Define, implement, and continuously evolve the organization's Data Governance framework, ensuring that data is managed as a strategic, reliable, secure, and accessible asset.
• Lead cross-functional data centralization initiatives to unlock insights and optimize performance across operations, production, supply chains, and customer engagement.
• Data architecture evolution and optimization: constant improvement of the current data architectures, adapting them to the new requirements related to the digital transformation.
• Drive change management efforts to foster a culture where data drives innovation and efficiency.
• Collaborate with stakeholders to deliver scalable, hybrid data solutions that seamlessly integrate with industry-specific needs, such as advanced analytics, fraud detection, or process optimization.
• Ensure FinOps practices, aligning cost with company expectations/Strategy.

Your Profile

We’re looking for professionals with a proven track record of designing and executing innovative data strategies. Key qualifications include:

• Master or Bachelor degrees in Computer Engineering, Telecommunications, Mathematics or Statistics.
• Experience in data architecture projects, participating in the conceptual design of the best solution for the client.
• Establish best practices for data ingestion, transformation, and storage processes to ensure data quality, integrity, and availability.
• Strong problem-solving and decision-making abilities, working collaboratively to identify, define, and resolve issues while determining the best course of action.
• Experience in data modeling, data mining and/or database usage in enterprise environments with complex datasets.
• Strong technical Knowledge in Cloud platforms and system integrations.
• Strong knowledge of industry-leading Data Governance and Data Management frameworks, including DAMA-DMBOK, DCAM, and related methodologies.
• Deep knowledge on Big Data technologies.
• Familiarity with AI reference architecture & MLOps.
• Contribute to blueprint / architecture pattern creation to enhance re-useability.
• Self-starter with highly developed interpersonal skills, decisive and result oriented.
• Strong interest in technology and its impact on business and society.
• Previous experience in consulting is highly valuable.

Data Engineer/Architect Certifications in data tools or public clouds(e.g. Azure, AWS, GCP) and experience with end to end data platforms is a must.

Location

Madrid or Barcelona

Are you ready to take the next step with us?