Senior Director Technology - Web Technologies & AI

About the role

The role defines technology strategy and leads digital transformation for enterprise clients through modern web and AI solutions. It combines technology leadership, client advisory, and people leadership to shape architecture and accelerate innovation.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Engineering standards, governance frameworks, and quality benchmarks are established.

AI-first engineering and AI-assisted software development practices are championed.

Emerging AI technologies, frameworks, and platforms are evaluated.

Governance, security, and responsible AI practices are defined.

Measurable business outcomes are driven through AI innovation initiatives.

Executive technology advisory is provided for strategic accounts.

Business objectives are translated into scalable technology solutions.

Business development, pursuits, and executive presentations are supported.

Technology oversight is provided across multiple client programs.

Complex digital transformation initiatives are executed successfully.

Technology risk, engineering quality, scalability, and security are managed.

Program governance and strategic decision-making are supported.

Delivery methodologies continuously improve.

High-performing engineering organizations are built and developed.

Talent acquisition and workforce planning are driven.

Continuous learning, innovation, and engineering excellence are promoted.

Inclusive, collaborative, and growth-oriented cultures are fostered.

Sales, pre-sales, and solutioning activities are contributed to.

Strategic RFPs and proposals are responded to through technology leadership.

Account growth is supported through innovation and strategic advisory.

New service offerings and AI-enabled solutions are identified.

Revenue growth and delivery profitability are driven.

Requirements

The posting states a bachelor's degree requirement. 12+ years of progressive technology leadership experience.

5+ years in senior technology management roles.

Proven leadership of large distributed engineering teams.

Experience managing multiple client engagements simultaneously.

Strong expertise in modern web application architectures, headless CMS platforms, ecommerce platforms, cloud-native development, microservices architecture, API-first ecosystems, and frontend engineering (React, Next.js, Angular, Vue).

Backend technology expertise in .NET, Java, Node.js, platform engineering, and DevOps.

Deep knowledge of Microsoft Azure, AWS, and Google Cloud Platform.

Experience delivering solutions involving Generative AI, Large Language Models (LLMs), RAG architectures, AI Agents and Agentic workflows, prompt engineering, AI governance and responsible AI, data platforms and analytics, and MLOps and AI deployment practices.

Practical notes

This role requires a degree as stated in the listing.

The position is based in Dusseldorf, with alignment to Valtech's global, borderless collaboration model.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The role focuses on enterprise digital transformation using web technologies and AI.

Responsibilities span strategy, delivery leadership, client advisory, and organizational development.

The role works with MACH principles, composable architectures, cloud-native platforms, and data-driven AI solutions.

Leadership involves both direct people management and cross-functional influence.

Success depends on balancing technical excellence with commercial outcomes and client trust.