Enterprise Architect

Lancaster
3 weeks ago
Create job alert

Job Title: Interim Enterprise Architect

Location: Lancaster, (2 days per week in Lancaster)

Contract Type: 3-Month Contract

Job Description:

The Interim Enterprise Architect will play a critical role in shaping and guiding the university's IT architecture. This role requires a strategic thinker with the ability to operate on both a strategic and operational level. The successful candidate will work closely with various stakeholders to develop and implement a robust IT architecture that aligns with the university's goals and objectives.

Key Responsibilities:

Data Strategy:

Develop and implement a comprehensive data strategy that supports the university's academic and administrative functions.
Ensure data integrity, security, and accessibility across all university systems.

Integration:

Design and oversee the integration of various IT systems and applications to ensure seamless data flow and interoperability.
Identify and mitigate integration risks and challenges.

Network Design:

Evaluate and enhance the university's network infrastructure to ensure optimal performance, security, and scalability.
Collaborate with IT teams to design and implement network solutions that meet current and future needs.

Identity and Access Management (IAM):

Develop and implement IAM policies and solutions to ensure secure and efficient access to university systems and data.
Manage user identities, roles, and permissions across all IT platforms.

"To Be" Architecture:

Define and document the "to be" architecture for the university, outlining the desired state of IT systems and infrastructure.
Develop a clear roadmap to transition from the current state to the desired future state.

Roadmaps:

Create and maintain IT roadmaps that align with the university's strategic objectives.
Communicate roadmaps to stakeholders and ensure alignment with overall business goals.

Strategic and Operational:

Balance strategic planning with hands-on operational tasks to ensure the successful execution of IT initiatives.
Provide expert advice and guidance to IT teams and university leadership.

Qualifications and Skills:

Proven experience as an Enterprise Architect, preferably in a higher education environment.
Strong background in data strategy, integration, network design, and IAM.
Ability to develop and implement comprehensive IT architectures and roadmaps.
Excellent strategic thinking and problem-solving skills.
Strong communication and interpersonal skills to effectively collaborate with stakeholders at all levels.
Ability to work independently and manage multiple priorities in a part-time capacity.
Relevant certifications (e.g., TOGAF, CISSP, CISM) are a plus.Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Real, please visit

Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Related Jobs

View all jobs

Enterprise Architect

Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Senior Technical Architect - Utilities (6 month FTC)

Data Governance & Quality Consultant (Contract)

M365 Solution Consultant (Microsoft Defender, Intune, Autopilot, Purview) – Hybrid, 1 Day in Office

Lead AI Architect | Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.