Head of Data Governance
Role details
Job location
Tech stack
Job description
We are looking for a highly experienced, strategically minded Head of Data Governance to join our Data, Reporting & Analytics organization. In this leadership role, you will define, drive, and elevate Allianz Technology's global Data Governance agenda to ensure our data is managed, trusted, high-quality, and used responsibly across the enterprise. You will partner closely with cross-functional leaders, and technical teams to embed strong governance, uphold Corporate Rules, and ensure compliant document lifecycle management, including legally mandated retention and autodeletion. Are you passionate about ensure that data governed with the highest standards? If so, we are looking for you., Data Governance Strategy & Framework
- Define and execute the enterprise Data Governance strategy in alignment with Allianz Technology's priorities, ensuring governance principles directly enable business value, operational efficiency, and regulatory compliance.
- Implement and continuously evolve the Data Governance Framework-including the target operating model, policies, and standards-ensuring it stays relevant, scalable, and tightly integrated with the global Data Strategy.
- Maintain and enhance data governance documentation, including the Business Glossary, Data Catalog, and lineage, within the designated data management platforms.
- Track, enforce, and periodically reassess data ownership, stewardship, and accountability structures across functions and domains to strengthen enterprise-wide clarity and responsibility.
Data Quality
- Establish data quality metrics, KPIs, and automated monitoring processes to ensure high-quality, reliable, and trustworthy data assets.
- Drive root-cause analysis and systematic remediation initiatives in collaboration with data stewards and application owners.
- Demonstrate measurable ROI of data quality initiatives through improved operational efficiency, reduced risk, and enhanced decision-making.
- Compliance & Risk Management
- Partner with Risk, Legal, Compliance, and Security teams to ensure alignment with data privacy, access control, and data classification requirements.
- Maintain audit readiness by conducting periodic checks, risk assessments, and control assessments as part of non-financial risk management for data and document lifecycle management.
Innovation & GenAI Enablement
- Introduce and scale innovative approaches, including automation and GenAI capabilities, to streamline governance processes such as metadata management, data quality monitoring, documentation generation, and policy enforcement.
- Identify opportunities where GenAI can reduce manual overhead in governance tasks (e.g., automated lineage suggestions, intelligent quality alerts, policy summarization, or risk detection).
- Promote an AI-first mindset by embedding tools, workflows, and platforms that accelerate the maturity and effectiveness of the Data Governance function.
Stakeholder Engagement & Change Management
- Serve as a trusted advisor to functional and technology stakeholders, ensuring consistent adoption of Data Governance best practices across Allianz Technology.
- Drive a data-literate and governance-aware culture by supporting high-quality training programs, communications, and awareness campaigns.
- Facilitate and elevate data governance community forums to align on standards, share insights, and continuously evolve practices., When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Management or a related field
- 8-10 years of experience in data governance and data management
- Proven experience in leading and implementing data governance frameworks in large, complex, enterprise environments
- Strong knowledge of data governance principles, master data management (MDM), and data lifecycle management
- Familiarity with data governance tools (e.g., Collibra, Informatica, or similar)
- Experience with regulatory compliance frameworks related to Data and AI (GDPR, EU AI Act, etc.)
- Certifications such as CDMP (Certified Data Management Professional), DCAM, or equivalent
- Awareness of cloud data platforms (AWS, Azure, GCP) and modern data stack technologies
- Exposure to AI/ML governance and responsible AI practices would be an added advantage
Key Competencies
- Analytical thinking to assess complex data landscapes and identify governance gaps
- Collaboration skills to work cross-functionally with technical and functional teams
- Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.
- Leadership skills to influence global teams without direct authority and drive organizational change
- Adaptability to change and new ways of working and proactive contribute to innovation and continuous process improvements
Benefits & conditions
- We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
- We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
- From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
- Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.
About Allianz Technology