If you are ready to lead the total reinvention of the company through technology and data, this is your opportunity to join Accenture’s team and help change the future of our clients and society. We combine innovation, technology, and human ingenuity to deliver 360° value for businesses worldwide.

We are seeking an experienced professional to lead J2C transformation programs for the Data&AI; area of credit institutions, driving operational efficiency and strategic value creation. This role will spearhead transformation initiatives leveraging Artificial Intelligence to modernize information systems and deliver measurable impact across financial institutions.

You will work closely with top Iberia clients, shaping their Data and AI Strategy, implementing new data & analytics architectures, and bringing innovative offerings to accelerate their digitalization journey.

Your work: In the Iberia market unit, you will work for our top clients, developing their Data and AI strategy, bringing new offerings and opportunities to grow our applied intelligence business.

Your role:



What responsibilities will you have?
- Lead end-to-end transformation programs for information systems within banking environments.
- Define and execute strategies that enhance operational efficiency and create strategic value.
- Drive transformation through advanced technologies, including AI, ensuring alignment with business objectives.
- Combine team management, technical oversight, and leadership in commercial proposals for Data & AI initiatives.
- Collaborate with senior stakeholders (Data, Risk, Finance Directors) to communicate complex results and influence decision-making.
- Develop comprehensive Transformation Program Plans, including:
- Initiatives and estimated efficiencies
- Future Technology Map
- Change Management Plan
- Benchmark industry strategies and incorporate best practices into transformation roadmaps.
- Ensure robust Data Governance and Data Management frameworks throughout the

📌 AI&Data Manager (Madrid)
🏢 Accenture
📍 Madrid