Tech Lead Data Science & AI

Lead the Future of Data Science & AI at Rabobank

What we offer you

• Salary: Gross monthly salary between EUR 5,381 and EUR 7,687 (scale 10) for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

The desired end result is to build high-performing Data Science & AI teams that deliver valuable analytics and GenAI solutions for millions of Rabobank customers.

You and your Function

As Tech Lead for Data Science & AI teams, you will create an environment where teams take pride in building analytics and AI products that are as enjoyable to create as they are valuable for our customers. You will foster a collaborative culture, empower teams, and ensure robust software delivery processes.

Practical Examples

• Recruit, mentor, and retain top talent, encouraging cross-functional skill development and collaboration.
• Promote ownership from ideation to deployment, instilling pride in delivering high-quality solutions.
• Address security and regulatory risks by collaborating with compliance teams to ensure adherence to standards and frameworks.

Facts & Figures

• Focus on 5 to 7 end-to-end teams
• Responsible for 30–50 (in)direct reports
• 9.5 million customers worldwide
• Analytics products that are used by millions of customers

Top Responsibilities

• Foster a collaborative and high-performing culture by empowering team members to take ownership, encourage skill development, and ensure effective communication.
• Ensure robust, effective, and result-oriented software delivery processes, empowering teams to deliver reliable, scalable, secure, and valuable solutions.
• Mitigate risks related to security and regulatory compliance by implementing robust controls and cybersecurity measures to safeguard the bank’s systems and data.
• Within Rabobank, you will be positioned in the Data & Analytics department, responsible for building and leading end-to-end Data Science & GenAI teams that design, build, and run analytics and GenAI solutions.

Together We Achieve More Than Alone

The 25 people of Data & Analytics are dedicated to developing innovative products and services. Collaboration is our approach; as one driven team within Rabobank. We foster a culture of fast learning, delivering value quickly, and being more effective. Each team works on clear goals and continuously sees the results of their efforts.

Work on Yourself & the World Around You

At Rabobank, your development and that of society go hand in hand. We invest in you and work together to create a better world. At Rabobank, you work on yourself and the world around you at the same time. This is reflected in your own development budget, our hybrid working environment, and a good work-life balance. You can work on banking matters for our private and business clients, but also on social issues such as food and energy transitions.

You & Your Talent

• Academic working and thinking level.
• 5+ years of experience in similar roles within complex IT environments.
• Demonstrable affinity for complex end-to-end analytics product delivery.
• Strong leadership capabilities to foster a collaborative and result-driven culture.
• Solid understanding of software lifecycle management and quality assurance.
• Experience in hiring, mentoring, and empowering tech talent.
• Embraces Agile, Scrum, DevOps, and software craftmanship principles.
• Communicates clearly and concisely in English, both verbally and in writing.
• Known for maintaining control over budget, risk, compliance, and HR.

Selection Questions

You may draw on your work experience, volunteer work, education, private life, and so on. Use a maximum of 200 words per question and provide no more than two examples. Below are the questions:

• Can you give an example of an analytics or AI solution you delivered end-to-end and what the impact was for the user?
• How do you ensure your teams meet security and compliance requirements without losing innovation and speed?
• What is your approach to creating a culture of collaboration and ownership within multiple Data Science & AI teams?

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.