Corporate Functions AI Strategy and Adoption Lead, Director

Deutsche Bank; Madrid; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare options

Company perks

Retirement plan options

Hybrid working model

Descripción de la vacante

Deutsche Bank in Madrid is seeking an AI Delivery Lead who collaborates with engineers, analysts, delivery leads, and business stakeholders to identify meaningful AI use cases, build practical examples, and coach teams to adopt AI in daily practice.

You will report into the Head of Corporate Functions Technology and align with the AI Centre of Excellence to translate field insights into strategic roadmaps and governance for enterprise AI adoption.

Formación

• Hands-on software delivery experience with confidence in modern development environments.
• Practical experience with AI models, LLMs, and AI tooling.
• Ability to translate field insight into strategic recommendations for leadership.

Responsabilidades

• Act as the primary AI champion embedded within delivery and operations teams, embedding AI into everyday practice.
• Lead and facilitate AI adoption programmes including curating peer wins, skill-building segments, and removing blockers.
• Coach individuals and teams on prompt engineering, gen-AI features, RAG pipelines, and agentic workflows.
• Serve as the primary convenor of the AI Community of Practice, ensuring rhythm, relevance, and peer ownership.
• Curate a knowledge base of AI use cases, prompt libraries, lessons learned, and emerging tools.

Descripción del empleo

Team / division overview

The role sits at the intersection of hands-on delivery and strategic influence. You will work directly with engineers, analysts, delivery leads, and business stakeholders to identify meaningful AI use cases, build practical examples, coach teams, and remove blockers to adoption. At the same time, you will translate what is being learned on the ground into clear recommendations for leadership, tooling, governance, roadmap choices, and ways of working. Reporting into the Head of Corporate Functions (CF) Technology, you will be embedded in the area where AI adoption needs to happen. You will also work closely with the DWS AI Centre of Excellence, ensuring that Corporate Functions is both aligned to enterprise AI direction and actively shaping it through real delivery experience. You will help create and nurture the Corporate Functions AI Community of Practice, so that knowledge, experimentation, and adoption are shared across teams rather than remaining isolated in individual pockets.

Your responsibilities

• Act as the primary AI champion embedded within the delivery and operational teams, working alongside engineers, analysts, and delivery leads to embed AI into everyday practice.
• Lead and facilitate the AI Open House and equivalent adoption programmes including curating peer wins, facilitating skill-building segments, and visibly resolving blockers.
• Coach individuals and teams on practical AI use, from prompt engineering and gen-AI features through to building RAG pipelines and agentic workflows.
• Serve as the primary convenor and energiser of the AI Community of Practice ensuring it has rhythm, relevance, and genuine peer ownership.
• Curate and grow a shared knowledge base of AI use cases, prompt libraries, lessons learned, and emerging tools relevant to the team.
• Design and run lightweight experimentation programmes including challenges, hackathons, discovery sprints that surface new AI applications and build confidence across teams.
• Act as the CF technology team’s primary AI thought leader and strategic advisor to leadership translating field-level insight into strategic recommendations.
• Stay current with AI developments across the industry particularly in financial services and bring relevant intelligence into AI CoE leadership conversations and roadmap decisions.
• Advise CF business stakeholders on how AI can be applied to their specific domains, translating technical capability into business value language.
• Build, test, and iterate on AI-powered tools, prototypes, and integrations demonstrating feasibility and sparking wider adoption through working examples.
• Design and implement end-to-end AI solutions including RAG pipelines, LLM-powered applications, and agentic workflows that connect AI to real business processes.
• Evaluate internal and SaaS AI models, platforms, and tooling including LLMs, agentic frameworks, and productivity tools and make grounded recommendations based on practical, production-aware experience.

We are looking for Demonstrable hands-on experience building software, with confidence working in a modern development environment and credibility with engineering teams. Practical, working experience with AI models and tools including LLMs, prompt engineering, AI-assisted coding tools such as GitHub CoPilot or equivalent. Demonstrable delivery of at least one RAG implementation, an agentic workflow, a fine-tuned model, or a production LLM integration. A genuine track record of driving AI adoption within an organization, making it happen at the team level and measuring what changed. Experience working in or closely with technology teams in complex organizations — ideally within financial services, professional services, or similarly regulated environments. Demonstrated ability to work across multiple organizational layers from coaching junior developers to briefing senior leadership. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. Proficiency in Python (strongly preferred) and comfort working in a modern development environment. Working knowledge of LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or equivalent and experience building applications on top of them beyond simple prompting. Hands-on experience with AI development tooling: vector databases, embedding models, orchestration frameworks, and evaluation and observability approaches. Understanding of agentic AI patterns, including tool use, planning, multi-agent coordination with experience designing or building systems that use them. Understanding of how regulated financial services organizations operate including data sensitivity, compliance constraints, and the specific risk appetite that shapes technology decisions. Awareness of how leading financial institutions are approaching AI adoption. Ability to translate AI capability into business value language relevant to financial services such as risk reduction, control improvement, cost efficiency, revenue enablement, client experience and making the case to non-technical stakeholders. Demonstrably well-read on AI developments. You follow research, read technical blogs, track model releases, and can hold a credible conversation about where the field is heading and what it means for the organisation. Strong understanding of change management and adoption dynamics. You know why people resist new tools and how to meet them where they are and led early interest into sustained adoption. Curious about the intersection of AI and organisational design -how capability builds, how communities form, and what it takes to move an institution rather than just a team.

We’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded.

What we’ll offer you

• Access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle.
• Healthcare options.
• Company perks.
• Retirement plan options.
• DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process.

We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you.

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.