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Strategic Data Architect

1 week ago

Dublin, Dublin City, Ireland AXA Ireland Full time

About the Role

The Data Strategy & Governance Lead is responsible for leading the development and implementation of data governance policies, procedures, and standards across AXA Ireland. This involves working closely with business units to ensure that data is managed ethically and in compliance with regulatory standards.

As a key member of the Data & Analytics team, you will play a crucial role in maintaining the Data & Analytics roadmap, managing demand intake, overseeing data cataloguing, and facilitating governance processes.

Responsibilities and Expectations

  1. Develop and implement data governance policies and procedures that enhance customer trust, transparency, and data protection.
  2. Lead cross-functional teams to develop and implement data governance solutions that meet business needs.
  3. Design and implement data catalogues to ensure metadata accuracy and currency.
  4. Support the development of data governance training programs to ensure effective adoption and use of data governance practices.
  5. Work with data owners and stewards to ensure consistent metadata management and data governance adoption.
  6. Collaborate with IT teams to design and implement data governance tools and technologies.
  7. Develop and maintain reports and dashboards to track data governance metrics and KPIs.
  8. Ensure compliance with data privacy regulations (e.g., GDPR) and governance frameworks (e.g., DAMA-DMBOK).

Requirements

  1. 5+ years' experience in a data governance, data strategy, business analysis, or related role, within a large organisation, experience in financial services, insurance, or other regulated industries would be beneficial.
  2. A minimum of a primary degree with a significant mathematical and statistical element, with a certification in data governance, data management, or business analysis (e.g., DAMA CDMP, Collibra Ranger Certification) beneficial.
  3. Proven experience in supporting data governance processes, including data cataloguing, metadata management, and demand intake.
  4. Strong understanding of data analytics concepts such as predictive modelling, data visualization, and data storytelling & familiarity with data governance tools (e.g., Collibra, Informatica, Alation) & exposure to AI governance, data ethics, or emerging data trends.
  5. Familiarity with the data lifecycle management, from discovery to delivery of insights.
  6. Knowledge of data management tools and practices, including metadata management, data lineage, and data quality frameworks.
  7. Excellent organizational and coordination skills, with experience in managing roadmaps, project plans, or demand intake processes.
  8. Understanding of data privacy regulations (e.g., GDPR) and governance frameworks (e.g., DAMA-DMBOK).
  9. Strong collaboration skills across business and IT teams, with exceptional communication and stakeholder management abilities.
  10. Ability to simplify complex data insights for non-technical audiences.