About us
At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinned by an effective and adaptable strategy, superior products and industry leaders working in a supportive environment to achieve this.
At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.
Head of Digital & Data
We are currently recruiting for a Head of Digital, Data & Analytics, that will be critical in delivering our strategy.
This will be a senior leadership role who will take ownership of driving our digital first and data strategy and capability maturity. This role will be responsible for proactively sourcing opportunities in partnership with the business, to drive value creation by leveraging both, data assets internally and data ecosystem externally. The associated tasks include:
1. Creating value through data exploitation
2. Envisioning data-enabled strategies
3. Enabling positive business outcomes through analytics
4. Establishing data and analytics governance
5. Fostering the creation of a data-driven culture, related competencies and data literacy across our Businesses
Responsibilities:
6. Leadership of the Data & Analytics Organisation, with full oversight of Data Governance, Architecture and Analytics. (At a later stage, building out the Data science practice).
7. Take the lead in data opportunity sourcing, working closely with the D&A strategy group to prioritise.
8. Take authority, responsibility and accountability for exploiting the value of (x) information assets and analytics used to render insights, augmented and/or automated decision making.
9. Evolve (x) D&A strategy, governance forums, working closely with Executive leadership and business data owners. Chair data forums as required.
10. Institute and evolve a data operating model that is consistent with the capabilities and competencies required to execute the strategy.
11. Oversee the development and deployment of data and analytics COE. Expand the analytics offerings, especially in emerging analytical approaches, skills and technologies.
12. In partnership with the Head of Data Governance / Architecture, develop and publish D&A Governance framework. Define, manage and ensure an adequate information trust model, controls for master data and metadata management, including reference data.
13. Measure master data and reference data for compliance to policy, standards and conceptual models. Assure the deployment and management of data quality monitoring practices.
14. Collaborate with the Information Security Officer and Data Privacy Officer to create policies and controls for the appropriate protection of information assets. Protection should encompass a defined information life cycle, from acquisition or creation to end of life destruction and disposal procedures.
15. Develop and maintain controls on data quality to effectively manage the corporate risk associated with the use of data and analytics. Ensure that business reports derived from controlled data are consistent and representative of the true state of the business.
16. Identify new kinds, types and sources of data to enable business innovation throughout the organisation. Define processes for the effective integration and introduction of new data.
Knowledge and Skills
17. Significant leadership experience (c.8+ years as a guide) in leading Data & Analytics cross-functional teams and enterprise wide Data & Analytics programs.
18. Experience in formulating and implementing Data Strategies.
19. Experience with Tableau, Power BI, or similar etc.
20. Agile – Scrum/Kanban, sprint planning using JIRA, TFS or similar
21. Experience with SQL, Python or R (other languages welcomed) from a leadership perspective.
22. Experience with data quality monitoring, tooling selection and deployment
23. Master data management awareness.
Desirable
24. Experience from within the London Insurance Market or General Insurance
25. Experience with Data science or leading a Data science practice
26. Experience with Azure Data & Analytics platform
27. University Degree and/or relevant professional qualification
If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!
Diversity, Equity & Inclusion
At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.
All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.
Learning and innovating today, striving for sustainable societies and business tomorrow
At Munich Re Specialty – Global Markets our approach to ESG is underpinned by our desire to seize business opportunities and to nurture a stimulating and inclusive work environment. Our ESG strategy aims to deliver holistic impacts across environmental, social and governance topics including supporting a number of local initiatives within our community and offering volunteering opportunities for colleagues.
– choose your impact!
#BePresent #BeBold #BeCurious
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