Women in Data®
Senior Manager – Data Architecture

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Function: Data & AI Solutions
Location: Hybrid, London or Peterborough
Curious about what’s next?
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.
About the Role
We’d love you to be part of our journey.
As a subject matter expert, the Senior Manager Data Architecture provides strategic vision and architectural leadership for CtM's data estate, ensuring it is fit-for-purpose for an AI-enabled operating model and aligned with regulatory expectations. You will lead the Data Architecture function; set the architectural standards, target states and reference patterns that enable safe, performant and trusted use of data for analytics, operational use and AI.
You’ll own the enterprise data modelling standard based on Data Vault 2.0; ensure architectural decisions align with enterprise architecture, security, privacy and regulatory obligations.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Responsible for defining and assuring architectural standards, target-state architectures and reference patterns for data and AI workloads.
- Own and evolve the enterprise data modelling standard based on Data Vault 2.0, ensuring scalable, consistent and auditable design across the data platform.
- Define architectural patterns that enable AI use cases at scale — including training data lineage, feature engineering, retrieval architectures and inference data flows — ensuring traceability from source data through to model output.
- Set architectural standards for metadata, lineage, data contracts and interoperability that support both human and AI consumption of data.
- Partner with AI Governance, Data Platform, Model Risk, Data Risk, Privacy and Security functions to ensure architectural decisions meet regulatory, ethical and risk requirements.
- Act as design authority for data and AI-impacting design decisions; provide architectural review and assurance for major change initiatives.
- Provide mentorship and uplift data architecture capability across the wider data and engineering community.
What We’d Like to See from You
- Deep expertise in modern data architecture: lakehouse, streaming, data mesh, and dimensional/ensemble modelling.
- Hands-on experience designing and implementing Data Vault 2.0 at enterprise scale.
- Strong grasp of AI/ML data architecture: feature stores, vector stores, retrieval-augmented patterns and data flows for agentic systems.
- Knowledge of how architecture supports regulatory and audit obligations in financial services (FCA, ICO, UK GDPR, NIST AI RMF, EU AI Act).
- Collaborative leadership style; drives direction through influence in matrixed environments.
- Critical thinker; translates business strategy into pragmatic architecture and operates effectively as a design authority.


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Why Compare the Market?
We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.
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