Lead Solution Architect - Data & AI Specialist - London - Hybrid

W Talent; Greater London; Hybrid; GBP 77,000 - 104,000; Full time

Benefits offered by this job

Excellent Benefits

Job summary

Bank in London is seeking a Lead Solution Architect - Data & AI Specialist to define technology strategies and roadmaps across enterprise data analytics and AI platforms. This senior role combines hands-on design with team leadership and broad stakeholder influence.

The position is hybrid (London), permanent, full-time, with a salary of £90,000 plus excellent benefits. You will shape POCs, productionise AI solutions, and guide governance across data and AI domains.

Qualifications

• Senior architect with deep data analytics and AI experience.
• Proven ability to translate business needs into architecture designs.
• Experience shaping architectural artefacts and roadmaps for complex data platforms.
• Strong governance, risk, and auditability in AI initiatives.

Responsibilities

• Lead a team of architects and drive personal development.
• Translate business strategy into target architectures and roadmaps.
• Represent architecture in governance forums and advocate strategic solutions.
• Develop blueprints, high level designs, and design patterns for data platforms.
• Engage stakeholders and communicate architectural outputs effectively.

Skills

Azure ML

AI Foundry

Azure Databricks

MLOps

LLMOps

Data analytics

AI governance

Enterprise architecture

Stakeholder engagement

Team leadership

Tools

TOGAF

Zachman

Job description

As a Team Lead Solution Architect, you’ll play a pivotal role in defining and delivering technology strategies and roadmaps across enterprise applications and operational support services.

This is a senior individual contributor role which will require team management responsibilities and offers the opportunity to influence at scale and work across a wide range of stakeholders and technologies

Lead Solution Architect - Data & AI Specialist

Location: - London - Hybrid 2/3 days per week on-site - Flex working hours

Permanent - Full Time

Salary: £90,000 + Excellent Benefits

Key skills and experience:

Deep domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks)

Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability

Experience in IT architecture, including applying architectural principles to solution design with a strong focus on designing modern data analytics platforms and AI solutions.

Strong understanding of the data, analytics and AI technology landscape, including the ability to assess existing estates and develop roadmaps focused on reuse, simplification, and rationalisation.

Proven ability to translate business strategies, goals, and requirements into coherent architecture designs, solution blueprints, target architectures and technology roadmaps for data analytics.

Experience shaping enterprise architecture artefacts such as blueprints, technical options, design patterns, high‑level designs, for complex data platforms and analytics use cases.

Strong stakeholder engagement skills, including the ability to build and maintain stakeholder maps and communicate architectural outputs effectively.

Experience leading a team of architects, focussing on their personal development and training, and supporting them with their own workload.

Experience representing architecture at governance forums and advocating for strategic solutions.

Experience in IT leadership and management, including the development of highly skilled and engaged teams.

Understanding of best practice across the data lifecycle, including data governance, quality, security, and responsible use of data and AI.

It would also be beneficial, but not necessary, to have some of the following:

Experience working with architectural methodologies and frameworks (e.g. TOGAF, Zachman) and experience in architecture modelling tools

Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures.

Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics)