Data Governance & Quality Manager

At Munich Re Specialty Group (MRSG), individuality and intellectual curiosity is a key driver for our success and innovation. We believe that leveraging a variety of perspectives and backgrounds, and empowering all employees to make an impact, will motivate us to perform at our best and give us a competitive edge. We know there is always more work to be done, but we’re committed to building a strong and inclusive culture where everyone is welcomed and valued for their “own expression of self-identity”.

About us

MRSG is part of the Munich RE group. We are known for our dedication to excellence and quality of service provision across both primary and reinsurance.

As well as operating in the Lloyd’s of London market, we conduct our business via a global network of service companies, with offices located in the UK, Ireland, the United States, Asia, including Singapore, Labuan and Dubai.

Our group of companies provide solutions covering Casualty, Marine & Cargo, Aerospace, Cyber, Political Violence, Trade Credit and Property, Contingency and Yacht. Our purpose is to inspire our clients and people with the confidence and freedom to explore, create and build – to enable people and businesses to thrive

Company
Munich Re Specialty Group
Location
London , United Kingdom

Data Governance & Quality Manager

As a senior member of the Data Governance Team within the Data Office, you will be responsible to the Head of Data Governance and lead specific projects with the overall objective of developing and implementing applicable Data Governance and data quality strategies and frameworks to ensure the accuracy, integrity, and security of data across MRSG and in alignment with the Munich Re Group.

You will lead the design and implementation of the data quality strategy for MRSG collaborating with various stakeholders to establish policies, standards, and procedures, and oversee implementation to ensure compliance with regulatory requirements and business rules. This role requires a high level of data quality expertise and a deep understanding of data management practices, industry regulations, and emerging trends in Data Governance.

The Role

Data Governance Responsibilities:

• Lead the design and delivery of specific projects to build the foundational policies, processes and BAU operational practices that make up the Data Governance Framework.
• Provide specialist input to the design, implementation and maintenance of the Data Governance Framework, aligned with industry best practice and regulatory requirements.
• Input to and oversight compliance with the Data Governance related policies, standard and processes to embed consistent management of data across the organisation.
• Provide specialist input and work collaboratively with the business and technology to enhance Data Governance tool and technologies.
• Lead the business partnership arrangements, act as primary point of contact for expert advice and guidance driving business understanding of their data, data use, sharing and management in line with policy and aligned to achievement of business objectives.
• Establish, oversight and maintain the data accountability structure via the Data Owners, Stewards and other data related roles.
• Design, lead and implement education and the embedding of a data literate, data driven culture through development of role-relevant and accessible training and awareness programmes.
• Act as the liaison point between technical and non-technical stakeholders enabling a better understanding of data practices.

Data Quality Responsibilities:

Design and implement the strategic Data Quality Framework, leading the programme of activity to ensure Data Quality issues are proactively identified, assessed, remediated and reporting on, recommending effective approaches to building trustworthy data-sets that provide the business with insight and allow them to make confident data-driven decisions:

• Establish the central point of excellence, providing support and guidance to the business. Conduct regular stakeholder engagement/update meetings to build a network and community of data quality SME’s.
• Responsible for the establishment and maintenance of a data audit to identify and agree which data sets will be monitored for data quality, aligned to the operation of business critical processes and the achievement of the business strategic objectives.
• Definition, agreement and implementation of a set of standardised data quality measures to enable consistent reporting.
• Establishment of a data quality reporting framework that provides insight and recommendations to drive ongoing improvements in data quality policies, practices and operational processes.
• Design and implementation of a data quality issue identification, assessment, reporting and remediation process that operates at central and Business Unit levels of aggregation.
• Development of a Data Quality Risk oversight and monitoring framework to identify key areas of exposure and enable conscious risk-based decisions to be made regarding remediation priorities and investment. Additionally to identify and remediate root causes of data quality issues.
• Responsible for the alignment of the Data Quality Strategy and operating arrangements with other established frameworks (e.g. Operational Resilience, Consumer Duty, IT Strategies). Additionally responsible for engagement, SME input and collaboration with GSI4-wide data-related change initiatives to identify and mitigate any data quality risks, issues and dependencies.
• Responsible for the identification, assessment and recommendation of data quality tools and technologies, engagement with key technology and business stakeholders to define a delivery plan to meet expected outcomes. Ongoing responsibility for the strategic oversight and development and approval of changes to the data quality system.
• Definition and agreement of data quality accountability, roles and responsibilities for the Digital and Data Team, business Data Owners, Data Stewards and data quality SME’s. Additionally understand the data value chain, the journey and transformation data takes at it moves through the organisation to enable the identification of data producers and users/consumers that may need to be part of the data quality roles and responsibilities arrangements.
• Design and implement a data quality training and awareness programme to help educate individuals at all levels on the importance, value and opportunity that good data quality management brings. Additionally to create and embed data quality awareness on the general responsibilities of individuals across the business.

What we are looking for

• Proven experience in Data Governance, data management, or a related field, preferably in the insurance industry. Experience in a management role is highly desirable.
• Proven experience in a senior data quality role, preferable in financial services
• Strong understanding of Data Governance principles, data management practices, and regulatory requirements in the insurance industry, such as GDPR, Solvency II, and IFRA 17.
• Familiarity with Data Governance and data quality frameworks and standards, such as DAMA-DMBOK and ISO 8000.
• Knowledge of data privacy and data protection laws and regulations, and experience implementing data privacy policies and procedures.
• Strong people management skills, with the ability to motivate and guide a team of Data Governance and data quality professionals and stakeholders.
• Excellent analytical and problem-solving skills, with the ability to identify data-related issues, assess risks, and propose effective solutions.
• Proficiency in Data Governance tools and technologies, including data quality tools, metadata management systems, and data access controls.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organisation.
• Detail-oriented mindset with a commitment to maintaining data accuracy, integrity, and security

Key Skills & Experience

• Office 365 (MS teams, MS Power Point, MS Excel, MS Word, SharePoint, Yammer)
• Data Quality Solutions (Informatica, IBM, SAS)
• Azure Data & Analytics Platform
• Master Data Management Solutions (Informatica, Semarchy, IBM)
• Meta Data Management Solutions (Colibra, Alex Solutions)
• Business Intelligence Applications (PowerBI, QLIK Sense, Tableau) from a leadership perspective
• SQL and SQL server reporting services (SSRS) from a management perspective
• Data Science & Machine-Learning Platforms (Databricks, DataIQ, SAS, Alteryx) from a leadership perspective

Qualifications

• Bachelor's degree in a relevant field such as computer science, information management, or a related business discipline. Certifications e.g., Certified Data Management Professional is desirable.

Your career with us

At MRSG, you’ll find the flexibility, development and support you need to excel your career combined with a competitive salary and a benefits package that promotes wellbeing and work-life balance, on top of the standard features that include a non-contributory pension, private medical care, life assurance and more!

Diversity & Inclusion

Creating an inclusive environment is a crucial part of the Munich Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all.

Working together, we are an employer of choice by building the workforce for today and the future. We make it happen. Together.

Push Boundaries. With us. | Munich Re