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Valtech is a global digital agency focused on enabling business transformation. We enable clients to anticipate tomorrow's trends and connect more directly with their consumers across digital and physical touchpoints. The Technical Director will play a key role in shaping and delivering large-scale, global transformation initiatives for our most strategic clients. You will lead a community of talented people who are enthusiastic about building best-in-class digital solutions. This is a strategic leadership role, where you will be embedded within our largest clients. You will work with C-level stakeholders to imagine, shape, and deliver large-scale transformation initiatives whilst staying close enough to the teams who make it happen.
Job Responsibility
Build relationships with senior technology stakeholders within our clients' businesses
Serve as the transformation lead for major enterprise clients, helping define, shape, and deliver vision, technology strategy, implementation, operating model amends, and revisions
Advance accounts through the identification of new opportunities, looking to ensure any upsell and cross sell opportunities are rooted in client business requirements and have robust ROI returns
AI product delivery operations strategy: recommend AI tooling and usage patterns that deliver measurable return on investment for our clients
AI product strategy: recommend the use of AI within clients' products where appropriate, to deliver value for their customers and end users
Operating model reviews and design for AI adoption: centralised reuse of AI pipelines, skills repositories, and plug-ins across client engagements, and collaboration with wider teams beyond technology (delivery, strategy, and design) to establish centralised requirements and shared context for AI workflows
Drive strategic alignment across enterprise functions and digital workstreams, ensuring initiatives ladder up into a cohesive strategy
Ensure business strategy alignment with the work being delivered
Be accountable for the successful delivery of the work
Represent Valtech as a voice of authority and confidence and lead our clients through their initiatives with expert guidance becoming that trusted advisor to the client
Be the technical escalation point for issues within assigned clients, and be proactive in identifying and dealing with issues as soon as they arise
Provide first class technical leadership within the client environment
enable, guide and coach teams to navigate complexity and effectively deliver transformational programmes of work
Be an enabler for Artificial Intelligence adoption to drive efficiency and innovation for clients, acting as an agent of change within delivery teams and empowering them to use AI effectively in their day-to-day work
Consult with senior client stakeholders to advise on technology adoption to achieve outcomes
Identify, mentor, and develop future technical leaders within the assigned client delivery teams
Support and influence across delivery layers, from digital platforms and product teams to governance and business capabilities
Strengthen the technical presence and drive involvement within the global Valtech community around transformation matters and modern software delivery
Make transformation a reality by balancing strategic direction with continuous, on-the-ground progress
Bring industry knowledge into engagements, challenge internal assumptions and equip teams to solve big problems effectively
Drive training, evangelism, and excitement around AI products and product selection across delivery teams
Create a culture of sharing around AI adoption: surfacing what works and what doesn't, forming clans and communities of practice to drive forward adoption, and operationalising the rollout of new AI tooling across teams
Exposure of internal systems and tooling to AI pipelines via MCP, CLIs, and equivalent integration patterns, with appropriate context-management strategies
Gather, generate, and synthesise strong opinions and thought leadership on technology trends
Align those trends against the business needs of Valtech and the clients
Support client engagements by aligning technical work with Valtech and client technology, security, and certification standards and ensure technical standards and processes are upheld, delivering best-in-class solutions
Ensure governance and decision-making processes are effective
Help teams adopt good practices and techniques to deliver quality software at pace
Advocate for delivery methods (especially agile) and their impact on technology planning/strategy
Ensure teams consider risks, impacts, and consequences of decisions
Assist recruitment teams in talent acquisition aligned to the needs of client projects and alignment to Valtech's Culture and People Growth Framework
Validate hiring processes and ensure team composition meets delivery requirements
Line manage and develop people through our Professional Development Processes and our People Growth Framework
Foster an environment of psychological safety, grasping every opportunity for ongoing and continuous improvement, turning all problems into opportunities to gain experience and grow
Support teams through the change brought by AI adoption, helping individuals navigate evolving ways of working
Set personal development plans that reflect AI capability growth alongside core technical and consulting skills
Leverage certifications and partner programmes, feeding these into individual training plans and demonstrating the value back to clients and partners
Build deep relationships with our technical partners, our client's technical partners and stay abreast of their developments and roadmaps to inform strategic decisions
Support and sponsor technical events
Be seen as an advocate and thought leader for the technologies we implement on behalf of our partners
Support sales, marketing, and account management teams to explore growth opportunities within clients
Contribute to bids, proposals and pitches, ensuring technical alignment and excellence
Share insights and learning from client work to influence our local and global approaches to transformation
Shape go-to-market strategies for our AI propositions, including positioning, packaging, and target client segments
Define and evidence return-on-investment narratives for AI adoption with clients
Develop core pitch materials and reusable collateral around our AI approaches, methodologies, and case studies
Requirements
A proven record of leading large-scale, transformation projects for globally recognised brand names
Experience navigating large, complex organisations to connect silos and align multiple workstreams
Proven consulting skills and the ability to influence C-level stakeholders with both credibility and humility
Use of AI in enterprise software development
Use of AI in enterprise products and technology
Technical fluency across platforms, architecture, cloud, and modern delivery practices
Enthusiastic about technology, developing teams, and delivering successful outcomes
Proven record building and leading communities of technologists
Adaptable to change and fostering cultural shifts within the organisation
Technical leadership in a Product environment
AI pipelines across the software development lifecycle, spanning the plan, implement, test, and verify stages
Spec-driven development practices
Centralised skills and reuse across teams and projects
Tooling experience with the Anthropic Claude Code suite, including agents, sub-agents, and agent-team workflows
AI-assisted delivery across the full lifecycle
AI governance: risk management for AI systems, PII exposure controls for systems feeding AI pipelines, EU AI Act 2024 compliance and DPIAs for client-driven systems, and alignment of AI processes with information-security standards such as ISO 27001 and 42001
AI product engineering: designing and building AI-native products for clients
MCP architectures and agentic architectures for tool use and orchestration
Model selection and fine-tuning strategies aligned to use case, cost, and performance
Prompt management, context management, and chunking strategies for retrieval and long-context workloads
Conversational interfaces, natural language, and voice as primary user experiences
DevSecOps culture
Continuous integration/delivery/deployment
Infrastructure automation and the evolution of infrastructure
Cloud experience in a major hyper-scaler (Google, Microsoft, and/or AWS)