Chief Data Officer

Quintet Luxembourg, Luxembourg, LUX, L-2955
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Purpose of the Job

 

Quintet Private Bank is a leading private bank in the wealth management sector; we are committed to our clients and their families, and pride ourselves on our personalised service based on a deep understanding of what clients want to achieve. We are a bank headquartered in Luxembourg and supervised by the ECB with an ambition to stay true to our purpose to be the most trusted fiduciary of family wealth. When you join Quintet you are joining a company that values diversity of background, equal access to opportunities, career development, collaboration and inclusiveness. We want our employees to feel proud of being part of a company that is committed to do the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programmes.


The Chief Data Officer is a visionary leader who drives the data transformation across the Group towards a data driven organization. He/she defines and implements data management standards and data quality guidelines that ensure compliance, consistency and reliability of data. He/she also fosters a data-driven culture and promotes data literacy and best practices among all stakeholders, to also unlock the potential in the structured use of data. He/she is able to build up a centre of competency within and for the Group around data.

 

Key Accountabilities

 

  • Build and lead the Data Office as a centre of excellence for data governance, quality, analytics and innovation
  • Develop and enforce policies and guidelines that align with the Group's strategy, values and regulatory requirements
  • Report progress to the regulators (ECB) on a regular basis 
  • Monitor and report on data quality through data quality processes and KPIs; identify and resolve data quality issues in collaboration with data owners and users
  • Support the integration of data across the bank's applications systems (MDM solution, data dictionary, data quality rules, etc.)
  • Contribute to design the data architecture that supports the current and future needs of the Group; ensure scalability, security and interoperability of data systems
  • Engage with business units and functions to understand their data needs and challenges; provide guidance and solutions to leverage data for value creation and decision making
  • Identify and prioritize use cases for data analytics, impact and insights that enhance customer experience, operational efficiency, risk management and business performance; oversee the implementation and evaluation of data projects
  • Create and nurture a data community that shares knowledge, best practices and feedback; inspire a data mindset and culture throughout the Group
     

Knowledge and Experience

 

  • 5-10 years’ experience in a senior-level data management role
  • Proven experience in leading data initiatives in a complex organization, track record of implementing data competence centre
  • Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or related field
  • Strong knowledge of data governance, quality, architecture, analytics and innovation principles and practices, particularly within Private Banking, Wealth Management and Financial companies (digital banks, brokers…)

Attributes and Qualities

 

  • Strategic thinking, problem solving, decision making and innovation skills
  • Excellent communication, presentation, collaboration and influencing skills 
  • Enjoyment of interdisciplinary cooperation
  • Program and Project management skills
  • Strong interpersonal skills
  • Change management
  • Team player
  • Ability to work with various stakeholders including Board and Regulators and manage interdependencies across functions and markets

Technical Skills

 

  • Proficient in data technologies, in particular Collibra and Power BI selected by Quintet
  • MS Office (Excel, PowerPoint)
  • SharePoint, Teams or similar
     

Languages Skills

 

  • Fluent in English and French
     
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