Role Description:
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

QUALIFICATIONS AND SKILLS:

• 5+ years’ experience in designing and implementing Data Quality and Observability ecosystems in large-scale organisations.
• Expert knowledge of Data Quality and Observability principles, processes and standards, recognizing the differences between OLTP and OLAP systems.
• Experience with at least two Data Quality tools from the market (Monte Carlo, Ataccama, Collibra DQ, Informatica DQ, Great Expectations, Ab Initio etc.).
• Good knowledge of Data Governance capabilities like Data Cataloging, Data Profiling, Critical Data Elements.
• Familiar with Data Lineage, to support quality tracking and improvement.
• Experience with a wide range of data platforms in both OLTP and OLAP spaces including cloud solutions.
• Experience in defining requirements and roadmaps, and managing stakeholders.
• Familiar with the contractual aspect (e.g., licensing, pricing, contract terms) of selecting tools and vendors from the market.
• Good knowledge of Atlassian Jira and Confluence.
• Experience working in a virtual team also including managing contractor resources
• Agile mindset, previous experience working in an Agile environment
• Skilled in clear and concise communication, storytelling, and securing stakeholder buy-in.

• Contribute to the definition, review, update and roll-out of the Data Quality and Observability ecosystem and related standards, guidelines and playbooks .
• Drive the collaboration with other departments involved in Data Quality and Observability.
• Partner with the Data & AI Governance Solution Architect in ensuring architecture designs and tooling solutions are embedding Data Quality and Observability principles in the overall Data & AI Governance framework, also meeting the requirements of all strategic Data & AI initiatives and programs.
• Gather requirements and define criteria for the selection of Data Quality and Observability tools, and participate in PoC evaluations.
• Define and implement processes and guidelines for the Data Quality and Observability topics like Data Quality rules definition and execution through Data Quality tools, metrics and scores visualization, incident management, etc., contributing to their roll-out and adoption.
• Collaborate with Data Engineering and Data Management communities to develop strategies and standards for monitoring, failure detection, and data availability, to ensure data is available, trustworthy and secure.
• Train engineering teams into Data Quality principles and implementation

Train engineering teams into leveraging Data Lineage to support quality tracking and improvement

• Lead proactive and reactive resolution of Data & AI Governance compliance risks with regards to Data Quality and Observability, reporting key KPIs to relevant stakeholders, including the Data & AI Governance board.
• Collaborate, develop and manage data quality scorecards and dashboards within the Booking communities.
• Ensure Data Quality alignment and governance with regulatory and compliance requirements.
• Drive continuous improvement initiatives to increase efficiency, scalability and adoption in the Booking communities.