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Senior Data Product Owner

hace 1 mes


Madrid, Madrid, España Ferrovial A tiempo completo

About Ferrovial:

Ferrovial is a leading global infrastructure operator, dedicated to developing sustainable solutions. With operations in over 15 countries and a workforce of over 24,000 professionals worldwide, we strive to make a positive impact on the communities we serve.

Our Commitment:

We are committed to listing on three major stock exchanges: the USA (Nasdaq), the Netherlands (Euronext Amsterdam), and Spain (IBEX 35). We are also a member of the Dow Jones Sustainability Index and FTSE4Good, demonstrating our commitment to sustainability and corporate governance.

Job Overview:

We are seeking a Senior Data Product Owner to join our team and lead the transformation of our business units into data-driven companies. As a key member of our data team, you will be responsible for designing, proposing, and implementing data solutions that drive business value and improve our operations.

Key Responsibilities:

  • Align with business leaders to understand their data challenges and opportunities.
  • Identify business value in new data initiatives and stay up-to-date with market trends and data partners.
  • Design and propose technical solutions to meet data needs.
  • Execute data initiatives and apply data security and quality policies.
  • Promote the use of standards and best practices.
  • Manage budget effectively and communicate the value of data in the organization.

Requirements:

  • At least 5 years of experience leading data initiatives and acting as Product Owner in a large company.
  • At least 5 years of experience managing technical teams effectively.
  • At least 2 years of experience managing budget activities associated with data products.
  • Demonstrated experience understanding stakeholders' needs and aligning different visions and interests.
  • Strong technical acumen in Azure cloud services is a must.

Desirable Skills:

  • Demonstrated experience leading data products/platforms with components like Azure Data Lake, Data Factory, Databricks, Unity Catalog, SQL Server, and Power BI.
  • Experience leading data products that collect data from various sources (Excel, Sharepoint, SAP, CRM, APIs, files, IoT devices, etc.).
  • Participation in data governance programs for a large company.
  • Ability to communicate the value generated with each initiative to different levels in the organization.
  • High-level English (C2).