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Job Title: Head of Data Architecture
Reports To: Head of Enterprise Architecture
Key Relationships: IT and Data Management, Data Science, Actuarial, Business Analysts, Platform Leads, Product Owners, Business Stakeholders
Job Summary:
Beazley's data reflects the complexity of our business, and our data architecture is in need of modernisation and rationalisation. We seek a talented head of data architecture to lead in this space as we modernise. You must be a passionate data expert, able to excite and influence stakeholders to meet our common goals, and shape and lead a small team of expert data architects and collaborate with other adjacent functions such as our CDO team. This role is essential to our transformation into a digital company in order to meet our ambitious growth plans.
Key Responsibilities:
- Manage and lead our data architecture team, ensuring they have the right skills and capabilities to meet our needs.
- Lead the data architecture team to ratify and shape our target data state, using our current view of our target as a baseline.
- Defining transition states in support of ongoing change that are steps towards that target.
- Implementing and evolving the underlying architecture based on data mesh, data medallion and event streaming.
- Working with business data architects and others to ensure our architecture enables data product delivery and sustainability.
- Collaborating with our wider architecture community to map our data architecture into our enterprise architecture.
- Strengthening and implementing technical data standards and ensuring Beazley and our delivery partners adhere to them.
- Ensuring the data architecture team meets our ongoing value delivery and rationalisation objectives across our traditional relational database estate as well as our emerging target state.
- Taking on specific data architecture challenges, allocating them within the team (including you), and working them through solution design and ensuring implementation meets our standards.
- Acting as a trusted consultant across our business as we explore, investigate and troubleshoot data opportunities and issues.
Personal Specification:
Education:
- Bachelor's degree in data relevant area such as STEM, finance, economics or a related field of study desirable but not essential.
Knowledge & Experience:
- Experience managing small teams of experts highly desirable.
- Extensive knowledge of and experience with RDBMS architectures, including full command of SQL and ETL languages and tools.
- Understanding of basic data concepts such as ACID, BASE and the ability to determine the best fit to a business problem.
- Ability to synthesise complex data problems into logical models and physical solutions.
- Knowledge of and experience with Event Streaming architectures desirable.
- Hands on experience and demonstrable thought leadership on our specific technology stack highly desirable:
- Kafka (Confluent)
- ADLS
- Snowflake
- Power BI / Fabric
- SQL Server
- Azure PostgresSQL (and other similar Azure options)
- Integration of the above in a zero trust hybrid cloud architecture.
- Knowledge of business re-engineering principles and processes.
- Strong modelling capability with the ability to clearly represent complex ideas graphically.
- Familiar with a variety of modelling approaches, tools and model repositories.
- Ability to translate complex domain specific concepts into knowledge that can be understood and consumed across domains.
Competencies:
- Highly supportive of the business and of its ideals and strategies.
- Neutral toward technology, vendor and product choices; more interested in results than in personal preferences.
- Ability to work with projects and change initiatives to deliver their goals without compromising the delivery of wider strategy.
- Effective at driving short-term actions that are consistent with long-term goals.
- Is motivated by long-term results.
- Stakeholder management, understanding of needs, and influencing.
- Collaboration skills to drive towards common goals across multiple line management chains.
- Exceptional interpersonal skills, including teamwork, facilitation and negotiation.
- Excellent problem solving and analytical skills.
- Excellent written and verbal communication skills.
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