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Head of Data Management & Governance (Data Management)

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Head Of Data Management & Governance (AI): Leading and inspiring the Data (Governance) Engineers, establishing Data Governance as a central discipline, and ensuring the success of ML/AI and data initiatives across hirify.global. Focus on shaping the data strategy, fostering a data-driven culture, and collaborating closely with the Data Platform team and company domains.

Location: Porto, Portugal

Company

hirify.global is an international technology group with around 13,000 employees at over 100 locations worldwide, delivering products, solutions, and services in Pharma, Supply Chain, and Technologies.

What you will do

  • Provide strategic positioning of Data Governance in the hirify.global Group.
  • Establish Data Governance as a central and impactful discipline.
  • Lead and inspire a team of Data (Governance) Engineers.
  • Govern data and ML/AI models in hirify.global’s data platform by creating policies, formalizing roles, and assigning responsibilities.
  • Assist the company domains in conceptual and practical implementation of Data Governance standards and manage the corresponding user community.
  • Contribute to the creation of a hirify.global-wide data strategy and emerging sub-initiatives.

Requirements

  • Having led a team of individuals with heterogeneous expertise.
  • Having worked in the realm of data governance (frameworks, policies, compliance) or MLOps, e.g., translating legal requirements into guidelines and policies.
  • Having hands-on experience with Microsoft Azure Tool Suite and Databricks for data processing.
  • Having participated in the creation of a data strategy or its operational implementation.
  • Structuring work items, deriving concrete actions from abstract concepts, and prioritizing stakeholders’ needs.
  • Implementing Data Scientific / Engineering components in Python.

Culture & Benefits

  • International technology group with around 13,000 employees at over 100 locations worldwide.
  • Common goal: turning entrepreneurial thinking into customer success and shaping technological change.
  • Delivering products, solutions, and services in Pharma, Supply Chain, and Technologies.

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