At a Glance
- Tasks: Define AI data principles and enhance governance for a major UK Government initiative.
- Company: Join a leading tech consultancy driving AI governance in the public sector.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Other info: Opportunity to make a significant impact on responsible AI adoption.
- Why this job: Shape the future of AI governance while working with top industry experts.
- Qualifications: Experience in data architecture and AI governance is essential.
The predicted salary is between 44000 - 66000 £ per year.
2-month contract (initially) Remote Working Outside IR35 Market Rates (c£550 per day)
The Opportunity: Our client is supporting a major UK Government Department on a strategically important Artificial Intelligence (AI) governance initiative and is seeking an experienced Data Architect (SFIA Level 5) to help define the organisation's new Enterprise AI Data Principles. This engagement will play a critical role in shaping the future governance of AI across the organisation by establishing enterprise-wide data principles that support the safe, secure and responsible adoption of Artificial Intelligence; these principles will ultimately underpin the organisation's AI governance framework and associated controls.
Working closely with stakeholders across Data, Security, Privacy and AI Governance, you will review existing enterprise architecture artefacts, identify gaps and define AI-specific data principles that address emerging risks such as data quality, privacy, security, provenance, lineage and bias. Although initially a 2-month engagement, there is a strong possibility of extension as the programme progresses.
Skills and Experience:
- Strong background in enterprise data architecture, data governance, standards development and architecture principles.
- Experience contributing to AI, Generative AI (GenAI) or AI Governance programmes.
- Strong understanding of AI-related data risks, including: Data Quality / Privacy / Security / Provenance / Data Lineage / Bias / Accountability / Responsible AI.
- Experience reviewing existing architecture artefacts and developing enterprise-level recommendations.
- Excellent stakeholder engagement and facilitation skills, with the ability to build consensus across multidisciplinary teams.
- Experience translating architectural principles into practical governance controls, policies and operational standards.
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Desirable:
- Experience working with recognised governance and architecture frameworks, including: DAMA / NIST AI Risk Management Framework (AI RMF) ISO 42001 / ISO 27001 / UK GDPR / GDPR Responsible AI frameworks / Enterprise Data Governance frameworks.
- Experience delivering architecture or governance work within UK Government or other highly regulated environments would be highly advantageous.
Role and Responsibilities:
- Define the organisation's Enterprise AI Data Principles aligned with its wider enterprise architecture and governance strategy.
- Review existing Data Design & Architecture Principles, Agentic AI Principles and related governance artefacts to identify opportunities for enhancement.
- Work collaboratively with stakeholders across Data, Security, Privacy, Risk, Compliance and AI Governance to build consensus around enterprise data principles.
- Identify and assess AI-specific data risks, including data quality, privacy, security, provenance, lineage, bias, accountability and regulatory considerations.
- Develop practical recommendations that support the safe, ethical and responsible use of AI across the organisation.
- Translate architectural principles into effective governance controls, policies and standards.
- Update and map AI controls to ensure alignment with enterprise governance frameworks and organisational objectives.
- Support the development of a consistent enterprise approach to AI data governance and assurance.
- Produce high-quality architecture documentation, principles and supporting governance artefacts.
- Present findings and recommendations clearly to both technical and senior business stakeholders.
NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around one weeks’ lead-time).
Data Architect - Home-Based in Altrincham employer: ISR Recruitment
As a leading player in the public sector digital transformation space, we offer an exceptional work environment for Quality Assurance Engineers looking to make a meaningful impact. Our remote working model allows for flexibility while collaborating with a multidisciplinary Agile team dedicated to delivering high-quality digital services. With a strong focus on employee growth and development, we provide opportunities to enhance your skills in cloud-based data platforms and contribute to significant government projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Home-Based in Altrincham
✨Tap into Online Data Science Communities
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We think you need these skills to ace Data Architect - Home-Based in Altrincham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ISR Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ISR Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ISR Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at ISR Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ISR Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ISR Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ISR Recruitment.
