Data Solutions Architect

Phoenix Group Holdings; Birmingham; Hybrid; GBP 65,000 - 80,000; Full time

Job summary

A leading financial services company is seeking an Actuarial Solutions Data Architect to shape its actuarial data landscape. This hybrid role involves designing data architecture, ensuring data quality, and collaborating with finance teams. Ideal candidates should have extensive experience in data architecture, strong understanding of actuarial processes, and proficiency in data modeling techniques. Offering a competitive salary and generous benefits.

Benefits

16% bonus up to 32%

Private medical cover

38 days annual leave

Excellent pension

Career breaks

Income protection

Volunteering days

Qualifications

• Extensive experience in data architecture in financial services, preferably within life insurance.
• Proficiency in data modelling techniques and tools (e.g., ER diagrams, UML).
• Knowledge of data governance principles and best practices.

Responsibilities

• Develop and maintain the overall actuarial data architecture roadmap.
• Design and document data models, data flows, and data integration patterns.
• Collaborate with data engineers to build and deploy data pipelines.

Skills

Data architecture in financial services

Actuarial processes and data requirements

Data modelling techniques

Data warehousing and ETL

Stakeholder management skills

Cloud-based data platforms

Tools

Azure Data Factory

Job description

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Location: Birmingham or Edinburgh Hybrid (2 days perweek in office)

Flexible working:All of our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process.

Closing Date: Thurday 7th August

Salary and benefits: £65,000 - £80,000 plus 16% bonus up to 32%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more

The role

The Actuarial Solutions Data Architect is a critical role in shaping the future of our actuarial data landscape. This role will be responsible for designing and implementing the data architecture that supports actuarial processes, enabling efficient and accurate delivery of data. This includes understanding current data challenges, defining future data needs, and collaborating with the wider Finance architecture team to develop and implement a robust and scalable actuarial data architecture aligned with the target operating model.

Key Responsibilities:

Develop and maintain the overall actuarial data architecture roadmap, aligned with Finance strategy and target operating model.

Design and document data models, data flows, and data integration patterns for actuarial systems and processes.

Help to drive an improved data governance framework for actuarial data, ensuring data quality, integrity, and security.

Evaluate and recommend appropriate data technologies and tools to support the actuarial data architecture.

Collaborate with data engineers to build and deploy data pipelines and ETL processes to support business requirements

Work with actuarial teams to understand their data requirements and translate them into technical specifications.

Partner with IT and Finance stakeholders to ensure data solutions conform to wider Phoenix Group frameworks and Finance objectives.

Provide technical guidance and support to actuarial and other stakeholders on data-related matters.

What are we looking for?

Extensive experience in data architecture in financial services, preferably within life insurance.

Strong understanding and experience of actuarial processes and data requirements

Proficiency in data modelling techniques and tools (., ER diagrams, UML).

Experience with data warehousing, ETL, and data integration technologies.

Knowledge of data governance principles and best practices.

Excellent communication and stakeholder management skills

Ability to translate business requirements into technical specifications.

Strong leadership and experience developing teams and influencing stakeholders at all levels.

Experience with cloud-based data platforms (. Azure Data Factory).

Knowledge of machine learning and artificial intelligence use in the finance data domain

Familiarity with actuarial systems.

We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Please note that we reserve the right to remove adverts earlier than the advertised closing date. We encourage you to apply at the earliest opportunity.