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Advisory & Strategy AV
United Kingdom
Role Purpose
Responsible for translating our global priorities into executable plans and ensuring successful delivery across the organisation. The role provides leadership, governance and oversight of strategic initiatives, driving alignment between business objectives, investment decisions, operational execution and measurable outcomes. Working closely with senior executives and business leaders, the role ensures that strategic ambitions are converted into sustainable business results.
Offering & Technology Development AV
United Kingdom
Role purpose
The AI Workforce Solution Area Lead exists to grow the Solution Area by building a clear market position, strong Microsoft alignment, credible client propositions and an integrated operating rhythm.
The role must turn market demand for AI-led workplace transformation into pipeline, revenue, client impact and differentiated capability. It will be the single accountable UKS leader for this Solution Area, ensuring one strategy, not multiple disconnected agendas, drives growth.
Key accountabilities
Own the UKS AI Workforce growth strategy across both direct and indirect channels.
Define the Solution Area plan, including priority propositions, target clients,
Microsoft alignment, capability priorities, investment choices and growth focus.
Act as the primary Avanade UKS interface to Microsoft for the Solution Area, translating Microsoft priorities into practical pipeline and client opportunities.
Build AI-led propositions that help clients improve productivity, employee experience, workforce effectiveness, adoption and business value from
Microsoft technologies.
Integrate Practice and GTM strategies so capability and channel decisions support one coherent Solution Area strategy.
Drive pipeline creation, opportunity conversion, revenue growth and market relevance for AI Workforce.
Partner with Client Groups, Microsoft, Accenture and Delivery to shape key pursuits and strengthen client outcomes.
Ensure the Solution Area has the right capability roadmap, skills strategy and workforce plan, working closely with the Practice Lead.
Own strategic capability direction for the Solution Area, including where to build, buy, borrow or partner.
Ensure the delivery model for the Solution Area is commercially viable, repeatable and credible with clients.
Own Sold-vs-Delivered CCI integrity for the Solution Area, in partnership with Practice and Delivery.
Build the market reputation of Avanade UKS in AI-enabled workplace transformation.
Contribute to cross-Solution Area opportunities where AI Workforce is part of broader cloud, data, security, business applications or managed services outcomes.
Provide visible senior leadership to the Solution Area community, creating clarity, confidence and direction through the operating model transition.
Success measures
AI Workforce sales and revenue across all channels.
Pipeline coverage, conversion, win rate and revenue growth.
Microsoft co-sell or partner-sourced sales attached to the Solution Area.
Microsoft-aligned targets relevant to AI Workforce, including adoption, usage, seat, consumption or solution-play measures where applicable.
Strength and quality of priority propositions, campaigns and client-facing assets.
Sold-vs-Delivered CCI integrity and delivery confidence.
Contribution to x-SA deals where AI Workforce is part of broader transformation.
Talent and capability readiness for AI-enabled workplace transformation.
Senior stakeholder confidence across UKS, Microsoft, Accenture and priority clients.
Software Engineering AV
United Kingdom
Avanade Trading Business Analysis / Project Delivery Experience:
Track record of end-to-end project lifecycle delivery
Experience in shaping processes and solutions, including capturing business problems, value drivers, and functional/non-functional requirements
Strong leadership, sound analytical skills and change management capabilities,
Coaching and mentoring of the wider business analysis team
Demonstratable stakeholder management skills, working with stakeholders at different levels in the organization and confidant providing legitimate challenge
Experience performing a quality assurance role on workstream deliverables
Experience working in Agile project delivery
Software Engineering AV
United Kingdom
Role Summary
We are hiring a Senior Manager in Solution Architecture to lead the design, commercialization, and delivery of enterprise-scale cloud and AI engineering platforms. This role operates across solution architecture, AI platform innovation, and commercial deal shaping, with a focus on building and scaling agentic engineering capabilities across the Software Development Lifecycle (SDLC).
You will work to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate – and drive transformation across complex enterprise legacy portfolios in the Microsoft Enterprise channel.
What You’ll Do
Lead Enterprise Solution Architecture
- Own end-to-end architecture for complex cloud and digital transformation programmes (Azure-centric but not exclusively)
- Define scalable design patterns across application, DevSecOps, and platform engineering with GitHub, Azure DevOps and open source technologies
- Ensure architectural integrity, governance, and engineering excellence
Drive AI & Agentic Engineering Innovation
- Lead the design and evolution of AI-driven engineering platforms embedding automation across the SDLC
- Define and operationalize multi-agent architectures across design, development, testing, and operations
- Translate frontier AI technologies into reusable engineering capabilities and offerings
Shape Deals & Commercial Outcomes
- Lead solutioning for strategic deals, including architecture, estimation, and cost models
- Develop value propositions linked to ROI, productivity, and cost reduction
- Support contract shaping while maintaining solution integrity
- Own and evolve the local go-to-market offerings for Agentic Engineering
Enable Delivery at Scale
- Provide architectural oversight through delivery
- Establish engineering best practices across DevOps and automation
- Lead and mentor distributed engineering teams
Act as a Trusted Advisor
- Engage senior stakeholders on cloud strategy, AI adoption, and engineering operating models
- Lead client workshops and executive briefings