Enterprise Data Architect

We’re a FTSE 250 Financial Services company who specialise in retirement solutions and right now, our world is moving pretty quickly. With the defined benefit buy in / buy out space growing each year, Just continues to annually grow its business by over £4bn of assets.

We are a purpose driven company with compelling and credible goals. Quite simply, we help people achieve a better later life. We achieve this by providing competitive and innovative products, services, financial advice and guidance to help our customers achieve security, certainty and provide them with peace of mind in retirement.

That’s who we are. We’re a company on a mission: to become a beacon for the entire retirement industry. Because we believe everyone deserves a fair, secure, and fulfilling retirement.

Purpose

As an Enterprise Data Architect, you will play a critical role in designing, developing, and maintaining our data architecture, with a focus on supporting our AI-driven initiatives. This position requires a deep understanding of data management principles, database technologies, and a strategic mindset to align data initiatives with overall business goals.

Reporting into Head of Enterprise Architecture, the Enterprise Data Architect will collaborate with cross-functional teams, including other architects, data engineers, analysts, and business stakeholders, to ensure that data solutions meet our requirements for scalability, security, and performance.

Job Role Accountabilities

1. Data Strategy and architecture
   • Develop and implement a comprehensive data strategy.
   • Design and implement scalable and efficient data models, databases, and data integration solutions.
   • Own & maintain the current Azure hosted Enterprise Data Platform, developing roadmaps & proposed transition states.
   • Collaborate with solution architects to integrate data architecture with overall system architecture.
2. AI Initiatives
   • Collaborate with AI Architect to develop AI initiatives.
   • Identify and evaluate data sources, both internal and external, to support AI initiatives.
   • Collaborate with data scientists, machine learning engineers, and other stakeholders to integrate AI models into the overall data architecture.
   • Ensure seamless communication between AI components and existing systems.
3. Data Modelling and Analysis
   • Design and maintain robust data models that facilitate efficient storage, retrieval, and analysis of structured and unstructured data.
   • Implement data modelling best practices to support AI algorithm development and training.
   • Stay on top of emerging technologies and industry trends in AI, data management, and analytics.
   • Support data related RFI/RFP processes and the identification & implementation of new technologies/services.
4. Data Security and Privacy
   • Implement and enforce data security measures to protect sensitive information.
   • Ensure compliance with data privacy regulations and work to mitigate risks related to data breaches.

Examples of Activities

1. Engage with business stakeholders to understand what value can be delivered using the data we hold as enterprise.
2. Create and manage data related roadmap, delivery phases, data models.
3. Support other business areas with data solution designs, estimates & costs for business cases.
4. Review and enhance the group data platform, fine-tuning components, enhancing data models and ensuring the business gets maximum value from its data.

Qualifications

Educated to A’ level or relevant professional experience at this level - essential

Skills and Experience

1. Significant experience in Data Management profession.
2. Proven experience as a Data Architect with a focus on AI.
3. Strong proficiency in data modelling, database design, and data warehousing.
4. Knowledge of cloud-based big data frameworks such as data lake, relational, Graph and other no-SQL databases.
5. At least 5 years hands-on experience designing, developing & implementing multi-tenant solutions using Azure Databricks for data pipelines, machine learning solutions and Power BI family.
6. Familiar with Cloud and Data Management trends, including open source projects, methodologies (connect and collect, hub and spoke, data fabrics, etc.) and leading commercial vendors that relate to data acquisition, management and the semantic web.
7. Knowledge of data analytical programming languages e.g. Python, R.
8. Knowledge of data governance, privacy, and security best practices.
9. Quickly understands business problems and requirements and derives workable actions.
10. Excellent written and verbal communication skills and ability to express ideas clearly and concisely.
11. Ability to constructively challenge requirements and current state to increase overall value to the organisation.
12. Strong relationship-building skills.
13. Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change.
14. Experience with AI frameworks and tools would be beneficial.
15. Financial services (e.g. pension, insurance) background would be beneficial.

Company Benefits

1. A Competitive Salary, Pension Scheme and Life Assurance.
2. Along with 25 Days Annual Leave plus an Additional Day on us for your Birthday.
3. Private Medical Cover and Income Protection, just in case.
4. A generous and highly achievable bonus scheme – paid annually based on individual and company performance against targets.
5. Opportunity to progress within your career both in-role and within the company.
6. FREE access to the Headspace App, a 24/7 Employee Assistance Helpline and Trained Physical & Mental Health First Aiders (On-Site).
7. A variety of Employee Funded Benefits available to you via our Online Benefits Portal.
8. Plus, several additional purchase options available for you and your loved ones.

Why Just?

We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to Net Zero by 2050 and our scope 1 and 2 emissions to Net Zero by 2025. We’ve made good progress so far and encourage our people to make small and meaningful changes in their everyday lives, so that we can protect our planet for future generations.

Diversity, Equity and inclusion (DE&I) is a key priority for Just as part of our overall strategy and ensuring all of our people feel proud to work at Just. We have joined a number of initiatives including the Race at Work Charter, designed to improve outcomes for employees from underrepresented backgrounds. We also run a Reciprocal Mentoring scheme for employees from a BAME background, those with a disability and those who identify as LGBTQ+. There are multiple employee network groups, which champion issues including race, gender, social mobility and neurodiversity.

What’s clear about working at Just is that we care. We care about our customers, our purpose, our environment, inclusivity, wellbeing and most importantly - each other.

#J-18808-Ljbffr