Senior Data Strategy, Governance and Activation Specialist

Ensure the correct operational execution of Data & AI initiatives within the Digital Business Area, by taking and defining business requirements, defining the functional scope, and leading the end-to-end process of the projects. The role acts as a coordination point between business and technical teams (engineering, Data Science, architectures), guaranteeing quality, deadlines, dependencies, and an efficient and sustainable operation.

Gather business requirements and translate them into clear functional specifications for the technical teams.

Manage the full lifecycle of Data & AI projects: planning, prioritization, operational monitoring, risk management, and control of deliverables.

Coordinate multidisciplinary technical teams (engineers, data scientists, architecture, automation) ensuring alignment and operational fluidity.

Supervise the quality of deliveries: functional validation, testing with the business, documentation, and handover to operations.

Standardize templates, procedures, and operational flows that allow the execution of the portfolio to scale.

Serve as an operational interlocutor with other areas, mainly Data&AI

Support area managers in portfolio management and prioritization based on capacity and value.

Monitor operational KPIs, workload, vendor capacity, and process efficiency.

Location: María Tubau, 10

University degree in Economics, Engineering, Mathematics, Information Systems, or similar.

Solid knowledge of project management (agile and hybrid), requirements gathering, and functional design.

Notions of DataOps, MLOps, cloud architectures, and the data lifecycle.

Ability to translate the operational and strategic impact of data.

Ability to assess the technical and operational feasibility of initiatives.

Have led or directed strategic, operational, or methodological initiatives that have improved: area efficiency,

Data quality, traceability, executive reporting, and coordination models (3 years).

Experience designing scalable processes, templates, workflows, metrics, or standard frameworks (3 years).

Experience in requirement gathering, use case definition, functional analysis, and validation of deliverables (3 years).

Working in multidisciplinary squads under agile methodologies (3 years).

Coordination of technical teams and vendors, managing dependencies and workloads (3 years).