
Product Strategist Data Architect
2 weeks ago
The role is responsible for establishing and overseeing a federated data governance model across distribution. It involves designing and implementing data strategies and systems to manage data as an asset, advising on, monitoring, and governing TRD data, representing the TRD unit in the transversal data train interacting with the engineer community, establishing standards of data quality, and overseeing compliance with data protection and privacy policies.
Key Responsibilities:
- Data Governance: Define clear responsibilities between Business Domains for documentation support quality security commercialisation and ownership of data.
- Culture Enhancement: Normalise sharing data and making informed decisions on how to best utilise this asset.
- Data Platform: Develop and execute platform strategy for data collection storage and sharing.
- Product Life Cycle: Lead Amadeus Product Life Cycle definition process and documents linked to data.
- Data Acquisition Monetisation: Enable and steer new transversal data opportunities and innovation.
Required Skills and Qualifications:
- Mandatory qualifications include a Master's degree in Engineering Information Technology Data Science or related field, or equivalent OR Bachelor degree in Engineering Information Technology with prior experience in Data Management Governance. At least 5 years of experience in a complex business environment or international organisation matrix are required.
- A strong background in data governance, IT, big data cloud technology, monitoring solutions, machine learning, and artificial intelligence is essential.
- Familiarity with data governance tools such as Collibra is preferred. Proven track record in product management data management and information technology systems and tools is also necessary.
Benefits:
- This position offers a unique opportunity to work in a complex business environment, driving innovation and digital transformation.
- It provides a chance to collaborate with cross-functional teams, enhance data-driven decision-making, and develop skills in data governance, product management, and IT.
Other Opportunities:
- Experience with the SAFe Agile framework and knowledge of data analytics dashboard tools like Qlik and Microsoft PowerBI are highly valued.
- Big data data governance data management ML and AI, product management budget planning negotiation skills stakeholder management flexibility accountability proactivity customer focus are desirable skills.
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