At a Glance
- Tasks: Shape and deliver enterprise data strategy for major transformation programmes.
- Company: Dynamic organisation focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Join a team that values innovation and collaboration in data transformation.
- Why this job: Make a real impact on data architecture and governance in a complex environment.
- Qualifications: Strong experience in enterprise-level data architecture and governance.
The predicted salary is between 72000 - 88000 £ per year.
Enterprise Information / Data Architect
Location: Hybrid, 2-3 days per week onsite in London
Rate: £650-£690 per day inside IR35
Clearance: BPSS Required
UK Passport Holder
We're seeking an experienced
Enterprise Information / Data Architect to help shape and deliver the enterprise data strategy for a major transformation programme.
This is a senior, enterprise-level architecture role focused on defining target-state data architecture, governance, information models, and data capabilities across a complex organisation.
You’ll work closely with business, technology, and architecture teams to ensure data is structured, governed, and leveraged effectively to support decision‑making, regulatory requirements, and digital transformation initiatives.
Key Responsibilities
- Define and maintain current and target‑state enterprise data architectures.
- Develop conceptual, logical, and physical data models.
- Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks.
- Create data architecture roadmaps aligned to business and digital strategy.
- Drive data governance, lineage, quality, observability, and master data management initiatives.
- Ensure alignment between enterprise data models and solution architectures.
- Partner with business and technology stakeholders to define requirements and data strategies.
- Contribute to Architecture and Design Authority governance activities.
- Act as a thought leader, mentoring architects, analysts, and data teams.
Essential Skills & Experience
- Strong enterprise‑level Information or Data Architecture experience.
- Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling.
- Experience designing end‑to‑end data architectures across complex organisations.
- Strong Azure data platform experience, including Databricks.
- Experience delivering large‑scale transformation programmes.
- Ability to influence and challenge senior stakeholders, including C‑suite executives.
- Experience within complex, asset‑heavy, property, real estate, or similar environments.
- Finance transformation experience.
- Excellent communication and stakeholder management skills.
Desirable Skills
- TOGAF, DAMA‑DMBOK, or similar architecture frameworks.
- Experience supporting AI, advanced analytics, and machine learning initiatives.
- Knowledge of SQL and/or Python.
- Lean IX, ARIS, or other Enterprise Architecture tooling.
- Geospatial data and digital twin experience.
- Agile or hybrid delivery experience.
This is an excellent opportunity for a senior data architecture professional looking to influence enterprise strategy and drive impactful data transformation across a complex business environment.
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Enterprise Information / Data Architect employer: Experis - ManpowerGroup
Join a forward-thinking organisation that values innovation and collaboration, offering a hybrid work model that allows you to balance your professional and personal life effectively. With a strong focus on employee growth, you'll have access to mentorship opportunities and the chance to lead transformative data initiatives in a dynamic London setting. Enjoy competitive rates and the chance to make a significant impact within a complex enterprise environment, all while being part of a supportive and inclusive work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Information / Data Architect
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Enterprise Information / Data Architect
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Enterprise Information / Data Architect at Experis - ManpowerGroup, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
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Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Experis - ManpowerGroup
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
