Anthropic Strategy & Ecosystem - Senior Manager

Role:
Anthropic Strategy & Ecosystem Growth - Senior Manager

Location:

London, Manchester, Edinburgh Mobility:
Up to 100%

Career Level:

Senior Manager (ML6)
Role purpose  Shape technology strategies that translate Anthropic's capabilities into enterprise choices, measurable value and qualified opportunities for delivery teams.

About ITSAIndustry Technology Strategy & Architecture works at the intersection of business and technology, helping clients realise value from AI, technology and data. We define industry-relevant technology visions, build the case for change, and create the enterprise architecture and roadmaps required for delivery.

Our work spans technology vision and innovation, enterprise AI and data strategy, business technology strategy and enterprise architecture. This role brings an Anthropic-focused perspective to those services.

Technology Strategy:
Senior Manager, Anthropic Strategy & Ecosystem Growth As a Senior Manager, you will lead client strategies and originate work by showing how Claude and the Anthropic ecosystem affect business ambition, workforce, architecture, data, risk, sourcing and investment.

Your responsibilities

Technology strategy and client advice

Lead board- and C-suite-level technology strategy engagements, translating business priorities and Anthropic capabilities into industry-specific choices, investment cases and roadmaps.

Advise on Claude's role within a multi-model strategy, balancing capability fit, economics, interoperability, resilience, data, risk and vendor concentration.

Assess how frontier models reshape applications, architecture, platforms, operating models and workforce priorities across near- and longer-term horizons.

Anthropic proposition and point of view Develop a distinctive enterprise point of view on Anthropic, covering strategic relevance, value, architecture, risk and organisational readiness.

Create practical adoption frameworks for platform selection, build-buy-partner choices, experimentation, scaling and portability.

Codify lessons from client work into reusable propositions, diagnostics and executive materials.

Opportunity origination and cross-domain pull-through

Use strategy engagements to create qualified opportunities across AI, data, cloud, architecture, engineering, security, responsible AI and organisational change.

Define clear hand-offs to delivery, including outcomes, scope, dependencies, value measures and an executable first phase.

Build senior relationships across clients, Anthropic and the partner ecosystem to shape joint propositions and progress opportunities.

Lead proposals, RFP responses and statements of work with strong commercial discipline.

Engagement, people and practice leadership

Lead complex engagements, accountable for scope, commercials, quality, client outcomes and financial performance.

Facilitate executive decisions across business, technology, data, risk and operations.

Lead and develop multidisciplinary teams and contribute to practice growth, recruitment and knowledge sharing.

Represent the practice through thought leadership, client forums and ecosystem activity.

We are looking for the following skills and experience

Core consulting and commercial skills

Proven leadership of complex technology strategy engagements and multidisciplinary teams.

Excellent executive communication, influencing and facilitation skills.

Strong strategy toolkit, including analysis, scenario planning, value modelling, operating-model design, roadmaps and investment cases.

Track record of originating and closing consulting work and building trusted senior relationships.

Anthropic, AI and technology strategy skills

Essential:
Enterprise experience applying Anthropic's Claude, including identifying suitable use cases and advising on architecture, governance and security. Credibility with CIOs in explaining Claude's capabilities and limitations, and how tools such as Claude Code affect delivery models, resourcing and commercial structures.

Ability to assess Claude within the wider model and platform landscape, including fit, integration, economics, scalability, portability and risk.

Experience defining enterprise AI strategy, operating models, governance, adoption roadmaps and supporting data and architecture.

Sound judgement on responsible AI, privacy, cyber security, model risk and human oversight, including when to recommend alternative or multi-model approaches.

Experience8 to 15 years of relevant experience across technology strategy, AI strategy or transformation, with a…