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Operational data senior manager (guntín)

Guntín (Provincia de Ourense)
Mapal Group (Es)
Publicada el Publicado hace 23 hr horas
Descripción

We are looking for a highly senior, proactive, and independent Senior Data Operations Manager to join our Revenue Operations team.This role will own the end-to-end structure, governance, quality, and accessibility of go-to-market data across Marketing, Sales, Customer Success, and Support.This is a hybrid role for someone who combines strong data mastery with enough technical capability to manage and evolve the data infrastructure that powers reporting as well as business acumen.It is not a data engineering role, although it requires certain technical fluency, a rigorous approach to data operations, and a strong understanding of business processes, metrics, and commercial performance.The right person will be able to operate independently, define standards, create scalable data foundations, and turn complex GTM data into trusted reporting, dashboards, and actionable insights for stakeholders at every level of the organization.GTM data ownership and data modelingOwn the end-to-end GTM data structure across Marketing, Sales, Customer Success, and Support.Design, maintain, and continuously improve the data models that support reporting, analysis, and operational decision-making.Ensure data across systems is connected, structured, and usable in a consistent and scalable way.Translate business processes and GTM workflows into clear and reliable data structures.Data governance, integrity, and qualityEstablish and maintain governance frameworks, standards, and processes for GTM data across all systems and domains.Ensure high levels of data integrity, consistency, reliability, and completeness across the GTM ecosystem.Define and monitor data quality controls, validation processes, and issue resolution workflows.Identify data risks, process gaps, and structural weaknesses, and proactively drive corrective actions.Documentation and data accessibilityCreate and maintain clear documentation for data models, definitions, sources, ownership, logic, and reporting structures.Ensure

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