Senior Management Partner

4 weeks ago

Taastrup, Denmark Nordea Bank Full time

Job ID: 27377 

Are you ready to help shape the future of AI & Generative AI at Scandinavia´s largest bank, working alongside a dynamic, fast-pased team?

Nordea’s Group Data Management focus on delivering and enabling AI and Gen AI use cases across the organisation, while creating and providing the underlying technology foundations. 

We are now looking for a Senior Management Partner who is interested in working in the field of advanced analytics (Generative AI and AI) and IT systems to enable the delivery of use-cases across the bank. You will work closely with data scientists, software engineers, and business stakeholders to take AI and Generative AI applications from concept to production.

About this opportunity

Your passion for working with people from both a technical and a business background, coupled with your curiosity for AI and new innovations like Generative AI, makes you well-suited for this position. As Nordea pioneers its way into an AI and Gen AI driven future, you will thrive by embracing a dynamic environment, fostering collaboration, and maintaining an open and adaptable mindset. 

What you’ll be doing:

Run the bank's Applied Data Science and Technology agendas, foster collaboration between the two areas and respective business stakeholders Develop the Bank’s AI and Technology strategy, guaranteeing it aligns with executive vision and goals Lead the AI & IT transformation efforts, ensuring the delivery of advanced analytics use cases and the underlying tech stack infrastructure availability  Design and implement target operating model to foster efficient ways of working between AI and Technology teams Support with project resource allocation and budgeting 

Our AI team culture is built on collaboration, continuous learning and innovation. We foster an open environment where diverse ideas thrive, encouraging everyone to push the boundaries of technology while supporting each other´s growth. With a strong focus on well-being, we prioritize work-life balance and encourage open communication.

At Nordea, inclusion and diversity are at the heart of our values. We believe that a diverse workforce drives innovation, fosters creativity and creates a more supportive workplace for all. The role is based in Helsinki; Copenhagen; Høje Taastrup; Stockholm.

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

To succeed in this role, we believe that you:

Lead and inspire multiple teams towards success and tangible results  Enjoy taking initiative and bringing solutions Embrace a growth mindset Are curious and passionate about AI and Technology  Enjoy problem solving, and tackling challenges with strategic vision

Your experience and background: 

BSc, MSc or PhD in Computer Science, Computer Engineering, Data Science, Business Administration relevant technical field, or equivalent practical experience 10+ years of experience in senior management of IT, Data Science or equivalent areas Proven track record of successfully developing AI strategies and leading large-scale transformations  Knowledge of Data Architecture design and tooling Skilled at transforming complex ideas into clear, engaging explanations for C-level and executive stakeholders Excellent communication skills & proficiency in english

Other relevant qualifications (not mandatory):

Proficiency in Risk and Responsible AI, with knowledge of AI EU Act and other data privacy and security regulations (e.g., GDPTR) Experience building retrieval augmented generation (RAG) and agentic solutions Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, etc. Experience in training, evaluation, fine-tuning and deployment of predictive models; including feature selection, hyper-parameter tuning, error analysis and data visualisation Experience testing, maintaining or launching AI/ML products and working with MLOps best practices Experience working in a DevOps environment with CI/CD pipelines, Docker, container orchestration such as Kubernetes, and Shell scripting

If this sounds like you, get in touch

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