Snr ProServe Cloud Architect

AmazonWebServices; Greater London; On-site; GBP 63,000 - 103,000; Full time

Job summary

AWS Professional Services in the UK is seeking an experienced data & AI strategy advisor to partner with chief data and technology leaders on enterprise transformation.

You will develop quantified business cases, shape advisory engagements, and guide GenAI readiness and governance while leading strategic analytics initiatives with senior stakeholders.

Qualifications

• Bachelor’s degree in a related field as listed
• 10+ years in data, analytics, and AI with 3+ years in a senior role
• T-shaped profile across data strategy, AI, analytics, and governance
• Experience building business cases and articulating quantified value for data/AI investments
• Track record advising senior stakeholders (VP/C-suite) on data strategy or analytics transformation
• Commercial acumen demonstrated through data/AI deals, pricing, or P&L ownership
• Background in industry data/AI leadership or consulting with data/AI focus
• Experience with data strategy frameworks including maturity models and governance
• Knowledge of cloud-native analytics, lakehouse, ML platforms, GenAI tooling
• Experience leading large-scale professional services or consulting engagements
• Understanding organisational change management in data/AI transformation
• Proven ability to build trusted senior relationships through domain credibility
• Consulting background in Big Four or technology consultancy with advisory client experience

Responsibilities

• Advise CDOs/CTOs and data leadership on enterprise data and AI strategy aligned to business objectives
• Develop business cases with quantified ROI, value trees, and cost-benefit analyses
• Shape engagements with Account Executives, crafting commercial proposals and resource models
• Lead discovery and strategy engagements including maturity models and roadmap development
• Advise on GenAI readiness, use case prioritisation, data foundations, and governance
• Guide delivery teams on architecture reviews and technical direction as needed
• Contribute to UK&I Data & AI practice with reusable assets and frameworks
• Support leaders through change management in AI adoption
• Build trusted relationships with customers and position as long-term advisor

Skills

Data strategy

AI governance

Analytics

Stakeholder engagement

Business case development

Commercial acumen

Consulting experience

Change management

Data platforms

GenAI tooling

Advisory leadership

Education

Bachelor's degree in business admin/finance/economics/CS/data science/engineering or related field

Tools

AWS

GenAI tooling

Cloud analytics platforms

Job description

Salary: £63,000 - 103,000 per year

Requirements:

• Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or another related field
• 10+ years in data, analytics, and AI, including 3+ years in a senior role such as Head of Data/Analytics, AI Lead, Senior Data Strategy Consultant, or equivalent
• T-shaped profile with breadth across data strategy, AI, analytics, and governance, plus hands-on depth in at least one technical domain
• Experience building business cases and articulating quantified value for data and AI investments
• Track record of advising senior stakeholders at VP or C-level on data strategy, AI adoption, or analytics transformation
• Commercial acumen demonstrated through experience crafting deals alongside sales teams, shaping engagement scope, contributing to pricing, or owning P&L for a data/analytics function
• Background in either industry data/AI leadership or consulting with a data and AI specialism
• Experience with data strategy frameworks including maturity models, operating model design, data product thinking, and governance
• Knowledge of modern data and AI platforms including cloud-native analytics, lakehouse, ML platforms, and GenAI tooling
• Experience leading or contributing to large-scale professional services or consulting engagements end-to-end
• Understanding of organisational change management in the context of data and AI transformation
• Proven ability to build trusted senior relationships through domain credibility and delivery of value
• Consulting background in a Big Four, boutique, or technology consultancy with client-facing advisory experience

Responsibilities:

• Partner with customer CDOs, CTOs, and data leadership as their advisory partner on enterprise data and AI strategy, ensuring strategies are aligned to business objectives and grounded in delivery reality
• Develop business cases with quantified outcomes including ROI models, value trees, and cost-benefit analyses that support customer investment decisions
• Shape and scope advisory-led engagements alongside Account Executives by crafting commercial proposals, pricing constructs, and resource models that close
• Lead discovery and strategy engagements covering current-state assessments, maturity models, use case identification, and roadmap development
• Advise on GenAI and Agentic AI readiness, covering use case prioritisation, data foundation requirements, and governance considerations
• Steer delivery teams on technical direction by reviewing architectures, challenging assumptions, and going hands-on in your area of depth when needed
• Contribute to the UK&I Data & AI practice through reusable assets, advisory frameworks, and internal knowledge sharing
• Support customer leaders through change by helping them navigate organisational, cultural, and capability challenges in AI adoption
• Build and grow trusted relationships across your customer portfolio through credibility and consistent delivery of value, positioning yourself as a long-term advisor rather than a transactional project resource

Technologies:

• Agentic AI
• AI
• AWS
• Cloud
• Support
• Architect
• Security

More:

We are AWS Professional Services, and our UK&I TMEGS & ISV ProServe practice works with some of the UKs most recognised media, gaming, entertainment, and technology brands. We operate at the forefront of GenAI adoption in enterprise, including agentic AI, document intelligence, personalisation, and content generation. Our team environment is high-autonomy: you own your pursuits, your customer relationships, and the architecture you take to market. You help shape what gets built, influence the solution and winning the deal, and are not buried in delivery execution. You also have direct access to AWS AI/ML service teams and private betas, giving you an edge in positioning solutions ahead of the market. We are an equal opportunities employer with an inclusive culture that values diversity and supports privacy and accommodation needs.

last updated 36 week of 2026