At a Glance
- Tasks: Lead Peabody’s data architecture and governance for secure, reusable data.
- Company: Join Peabody, a values-driven organisation focused on community and innovation.
- Benefits: Enjoy flexible benefits, extra volunteering days, and a generous pension contribution.
- Other info: Be part of a supportive team that celebrates diversity and empowers everyone.
- Why this job: Shape the future of data use while making a real impact in the community.
- Qualifications: Proven leadership in data governance and strong enterprise data architecture expertise.
The predicted salary is between 70000 - 90000 £ per year.
As the Head of Data Architecture & Governance you will strategically lead Peabody’s enterprise data architecture and data governance agenda as two connected foundations for trusted, secure and reusable data.
You will set the direction for how data is designed, modelled, integrated, governed and assured across our modern cloud data platform, helping Peabody make better use of data for residents, colleagues, compliance and innovation.
- What you’ll do
- Define and oversee Peabody’s enterprise data architecture, including data models, integration patterns, design standards and architecture principles across operational and analytical data.
- Provide architectural leadership for data products, platform evolution and AI/ML use cases, ensuring solutions are scalable, interoperable, secure and aligned with Enterprise Architecture.
- Lead and mature Peabody’s group-wide data governance framework, including ownership, stewardship, policies, standards, critical data elements and clear accountabilities across domains.
- Shape the approach to metadata, lineage, cataloguing, classification and information asset management, making data easier to discover, understand, trust and reuse.
- Partner with data platform, engineering, product, architecture and business teams to embed governance and architecture controls across the full data lifecycle.
- Lead Peabody’s approach to responsible data use and AI governance, ensuring ethical, secure and transparent use of data in line with Peabody’s values and regulatory expectations.
- Provide assurance and clear reporting on data architecture, governance and data risk to senior forums, including Data Council, Executive Committee, Board and audit stakeholders.
- Lead, coach and develop a small specialist team, while influencing data owners, stewards and senior stakeholders across the organisation.
- What you’ll need
- Proven leadership experience in data governance, data management, or enterprise data quality in a large, complex organisation
- Strong enterprise data architecture expertise, including conceptual, logical and physical modelling, data integration, cloud data platform patterns and architecture assurance.
- Deep understanding of data governance frameworks, metadata management, and data stewardship models, with ability to embed in practice
- A degree in a data related field, and / or certifications such as Certified Data Management Professional (CDMP), Certified Information Systems Auditor (CISA), or AWS Certified Data Analytics
- Experience with data management and governance tools such as Unity Catalog, Purview, Collibra, Alation, Atlan, Informatica, or Talend
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Knowledge of ethical principles in data use, particularly in the context of resident data, AI and advanced analytics
- Experience of working within or leading aspects of a federated or hub-and-spoke data operating model
- Strong understanding of the relationship between systems, data processes and governance across the data lifecycle
Why Join Us?
When you join Peabody, you’re joining a team guided by our values,
Be Kind, Do the Right Thing, Love New Ideas, Celebrate Diversity, Keep Our Promises, and Pull Together .
We believe in creating a workplace where everyone feels supported, included, and empowered.
What We Offer
- Two additional paid volunteering days each year
- Flexible benefits scheme, including family friendly benefits and access to a discount portal
- 4 x salary life assurance
- Up to 10% pension contribution
Peabody does not provide sponsorship as a licensed UK employer.
#J-18808-Ljbffr
Head of Data Architecture employer: Peabody
At Peabody, we pride ourselves on being an exceptional employer that fosters a supportive and inclusive work environment. As a Digital Marketing Executive, you'll have the opportunity to contribute to meaningful marketing campaigns that enhance the customer journey in the new homes sector across London and the Home Counties. With flexible benefits, additional volunteering days, and a strong commitment to employee growth and diversity, Peabody is dedicated to empowering its team members to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Architecture
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Peabody!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data Architecture at Peabody.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Peabody.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Architecture at Peabody, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Data Architecture
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Peabody, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Peabody. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Peabody
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Peabody!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.