(Senior) Manager - Risk & Data Transformation in Banking
Amsterdam, NH, Netherlands
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead end-to-end data and regulatory transformation programmes for banks
Design end-to-end data value chains for regulatory and business data needs
Build and lead high-performing teams delivering data-driven insights
Develop new service offerings and turn commercial opportunities into proposals
Coach junior team members
From the employer’s posting
lead transformation programmes covering data, data architecture, data modelling, data management, Data Mesh and Data as a Product
Design and implement end-to-end data value chains that meet banks’ regulatory and business data needs
Build and lead high-performing teams to generate data-driven insights and deliver complex transformations together.
Identify commercial opportunities with existing and prospective clients and turn them into concrete proposals.
coach junior team members
What you’ll bring
All qualificationsCore experience
- More than eight years of consulting experience in financial services, ideally banking
- Extensive experience in data management, analytics, AI and data modelling
- Working knowledge of SQL and/or Python
- Excellent communication in English and Dutch
Qualification wording
More than eight years’ consulting experience in financial services, with a particular focus on banking.
Extensive experience in data management, analytics and AI, technology, project management, technology trends and data modelling
as well as working with SQL and/or Python
Excellent communication skills in English and Dutch
Tools in this posting
- Python
- SQL
- AWS
- Azure
- GCP
Source — Tool mentions in context
- More than eight years’ consulting experience in financial services, with a particular focus on banking. - Extensive experience in data management, analytics and AI, technology, project management, technology trends and data modelling, as well as working with SQL and/or Python. - A professional approach to working with your team and clients, a strong sense of responsibility, ambition and a commitment to personal development.
- Design and implement end-to-end data value chains that meet banks’ regulatory and business data needs across sustainability and ESG, prudential reporting, financial and operational risk, and strategic data initiatives. - Develop service offerings and lead transformation programmes covering data, data architecture, data modelling, data management, Data Mesh and Data as a Product. Familiarity with analytics, cloud technologies (Azure, Collibra, Google Cloud and AWS) and AI technologies (such as ChatGPT) is an advantage. - Identify commercial opportunities with existing and prospective clients and turn them into concrete proposals.
Posting record
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- Live
- First seen by us
- Oct 15, 2026 · 14 days ago
- Recorded sightings
- 116
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
Job Description
- Bring extensive, demonstrable experience and a strong network in financial services—preferably banking—to the delivery of data-driven projects prompted by changing laws and regulations, including RDARR/BCBS 239.
- Build and lead high-performing teams to generate data-driven insights and deliver complex transformations together.
- Design and implement end-to-end data value chains that meet banks’ regulatory and business data needs across sustainability and ESG, prudential reporting, financial and operational risk, and strategic data initiatives.
- Develop service offerings and lead transformation programmes covering data, data architecture, data modelling, data management, Data Mesh and Data as a Product. Familiarity with analytics, cloud technologies (Azure, Collibra, Google Cloud and AWS) and AI technologies (such as ChatGPT) is an advantage.
- Identify commercial opportunities with existing and prospective clients and turn them into concrete proposals.
- Work effectively in international, multidisciplinary teams in fast-changing project environments, lead teams and actively share your knowledge with colleagues.
Qualifications
You communicate complex ideas and analyses effectively and adapt readily to change. Above all, you feel confident being yourself—bringing your strengths, perspective and personality to your work. As a (Senior) Manager, you also have:
- More than eight years’ consulting experience in financial services, with a particular focus on banking.
- Extensive experience in data management, analytics and AI, technology, project management, technology trends and data modelling, as well as working with SQL and/or Python.
- A professional approach to working with your team and clients, a strong sense of responsibility, ambition and a commitment to personal development.
- Excellent communication skills in English and Dutch, enabling you to build professional relationships with clients and colleagues from diverse backgrounds.
Additional Information
As a (Senior) Manager in the Regulatory Data & Reporting team, you will lead end-to-end transformations that bring together data, governance and regulation. You will understand the complexities of business, financial and risk data in financial services and turn that knowledge into practical solutions, data architectures and programmes.
You will work closely with stakeholders at every level to translate requirements into action, ensure deliverables are met and mitigate compliance risks. You will also develop new service offerings, expand commercial opportunities and coach junior team members, combining technical expertise with strong stakeholder management and change management skills. You will actively promote responsible, ethical data practices while continuing to develop your own expertise.
Company Description
Make an impact by driving innovation and delivering insights to our clients through your expertise in data management, generative AI and risk management. At Deloitte.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Amsterdam, NH, Netherlands
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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