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- Tasks: Lead the architecture for real-time decisioning and integrate modern data solutions.
- Company: Join Lloyds Banking Group, a leader in banking innovation and transformation.
- Benefits: Enjoy a competitive salary, generous pension, performance bonuses, and flexible working options.
- Other info: Be part of a diverse and inclusive workplace that values your growth.
- Why this job: Shape the future of banking with cutting-edge technology and impactful projects.
- Qualifications: Deep experience in architecture, real-time decisioning, and cloud technologies required.
The predicted salary is between 107304 - 138864 £ per year.
End Date: Sunday 01 March 2026
Salary Range: £107,304 - £126,240
Flexible Working Options: Hybrid Working, Job Share
Location: London
Hours: Full Time
Working Pattern: We adopt a hybrid working style which involves spending at least two days per week, or 40% of our time, at our London, Gresham Street office.
About this opportunity: Personalised Experiences and Communications (PEC) is a business platform within Consumer Relationships that supports the Group's strategic goals by deepening customer relationships. PEC delivers personalised communications and experiences across all channels and business areas, enabling the Customer Relationship Growth strategy for both retail and commercial banking. It also drives data, analytics, and technology to enhance branded experiences, propositions, pricing, and sustainable, paper-free ambitions.
We're scaling a bank wide real-time decisioning capability to power next-best experiences across digital, colleague and outbound channels. We're building the "decisioning brain" that integrates AI and adaptive models, engagement policies and channel orchestration - underpinned by modern data foundations on GCP and event streams (e.g., Kafka).
In this role, you'll be the end-to-end solution authority for decisioning within the PEC Platform: shaping how Decisioning Ecosystem (NBA, engagement/contact policies, arbitration) integrates with our data platform and channels, ensuring designs meet demanding non-functional targets (latency, resilience, cost effectiveness, security and observability), and setting guardrails and patterns that squads and partners can use to deliver at pace—safely and consistently.
What you'll be doing:
- Own solution architecture for real-time decisioning: Define and evolve E2E designs spanning Decisioning Ecosystem (NBA Designer, arbitration, contact/frequency policies), data access layers, and channel integrations (web/app, colleague, outbound). Ensure loose coupling to support progressive evolution of the stack.
- Integrate decisioning with modern data & signals: Architect data flows across GCP (e.g., BigQuery, streaming), Kafka/eventing, and digital signal sources (e.g., Tealium/Celebrus) to provide sub-second context for decisions and feedback loops for learning.
- Set NFRs & SLOs for scale: Translate business outcomes into measurable performance targets (e.g., p95 latency, availability, change failure rate, cost per decision) and ensure designs, environments and runbooks meet them.
- Establish reusable patterns and guardrails: Publish reference architectures, ADRs and integration patterns (APIs, events, identity, consent, measurement) and steward them through Design Authority and platform governance.
- Champion security, privacy & compliance: Embed threat-modelling, data minimisation, consent modelling, and auditability into the designs; ensure explainability and fairness considerations are factored into decisioning choices and model usage.
- Partner across labs & vendors: Work closely with product engineering squads, data science/ML teams, platform engineering, InfoSec, and delivery partners to land pragmatic solutions and accelerate value.
- Roadmap & technical direction: Contribute to the PEC architecture roadmap, including where we keep vendor capabilities vs. build in-house over time, ensuring we can iterate safely without vendor lock-in.
How we work:
- Product-led lab model: with autonomous squads, clear guardrails and fortnightly demos—optimising for rapid, safe iteration.
- Strong governance & measurement culture: transparent change processes, defined success metrics (uptime/SLA, time-to-release, policy compliance, incremental uplift).
- Hybrid, collaborative ways of working: across UK and our global technology centres.
What you'll need:
- Deep architecture experience: in real-time decisioning, personalisation or marketing tech at scale in a regulated environment.
- Modern data & integration: event driven architectures (Kafka), streaming & batch patterns, API design, identity resolution, experimentation/measurement pipelines.
- Knowledge and experience designing distributed systems: fault tolerance, scaling/partitioning, consistency models and trade-offs, retries/idempotency/back-pressure, including high availability and multi-zone/region patterns.
- Knowledge and experience of public cloud providers: (GCP/AWS/Azure): core networking/VPC, IAM and security controls, service-to-service connectivity, managed data/streaming services, observability and cost governance/FinOps.
- Cloud & engineering foundations: CI/CD, Infrastructure-as-Code, observability, reliability engineering, performance engineering and cost governance.
- Architecture practices: C4 modelling, ADRs, threat modelling, zero trust/data security by design, and effective governance communication.
And any experience of these would be useful:
- Hands-on Pega CDH expertise: (or equivalent RT decisioning platform): NBA strategy/arbitration, engagement policies, taxonomy/guardrails, simulation and change governance.
- Knowledge and experience of Google Cloud Platform (GCP): BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Run/GKE, Cloud Functions, IAM, VPC/Private Service Connect, Cloud Logging/Monitoring, Secret Manager and Org Policies.
- Experience with digital signal & CDP ecosystems: (e.g., Tealium/Celebrus, Adobe/AEP/AJO) and content & experience assembly (e.g., AEM, in-house mapping via Phoenix).
- ML/MLOps familiarity: (model monitoring, explainability, bias/fairness controls, offline/online learning, experimentation at scale).
- Prior work in large-scale multi-brand contexts: (contact policies, suppression, pressure rules, governance).
About working for us: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
Senior Solutions Architect in London employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their goals, especially around real-time decisioning and data integration.
✨Tip Number 3
Practice your technical skills! Be ready to discuss your architecture experience and problem-solving strategies. Mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Solutions Architect in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in real-time decisioning and architecture. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your knowledge of modern data architectures and cloud platforms like GCP. We’re keen to see how you’ve tackled challenges in distributed systems and integration, so give us the juicy details!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to scan through your qualifications and achievements. We appreciate clarity just as much as complexity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Architecture Inside Out
As a Senior Solutions Architect, you need to be well-versed in real-time decisioning and personalisation. Brush up on your knowledge of event-driven architectures like Kafka and how they integrate with modern data platforms. Be ready to discuss specific examples from your past experiences that demonstrate your expertise.
✨Demonstrate Your Problem-Solving Skills
Prepare to showcase your ability to tackle complex architectural challenges. Think of scenarios where you've had to design solutions under tight constraints, such as latency or security requirements. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Familiarise Yourself with the Company’s Tech Stack
Research the technologies mentioned in the job description, especially GCP services like BigQuery and Cloud Functions. Understanding how these tools fit into the company's decisioning ecosystem will help you speak confidently about how you can contribute to their goals.
✨Emphasise Collaboration and Communication
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully partnered with product engineering squads or data science teams to deliver solutions. Show that you can communicate complex ideas clearly to both technical and non-technical stakeholders.