Senior Data Transformation & Adoption Consultant
🕙 36-40 hours per week
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
You drive enterprise-wide Data & AI adoption by turning strategy into sustainable business impact. You lead complex transformation initiatives, influence senior stakeholders, and build communities and capabilities that strengthen data maturity across the organization. Leveraging hands-on experience in Data Management and Data Governance, you act as a trusted advisor to business leaders, Process Owners, and Data Experts, translating Data & AI ambitions into practical adoption and implementation approaches that deliver lasting change.
Responsibilities
- Lead and grow Data & AI communities, fostering collaboration, knowledge sharing, and capability development across the organization.
- Drive consistent adoption and implementation of Data & AI capabilities while recognizing differences in maturity, business context, and regulatory requirements.
- Identify, initiate, and drive improvements that accelerate the adoption of Data & AI processes, standards, and ways of working across the bank.
- Own and drive adoption, communication, community, and capability-building initiatives, ensuring measurable and lasting organizational impact.
- Act as a trusted advisor and sparring partner for stakeholders across business, data, and implementation teams, leveraging strong Data Management and Data Governance expertise to challenge, guide, and support decision-making.
- Translate stakeholder feedback and organizational insights into concrete actions that strengthen the Data & AI value chain and increase Data & AI maturity across the organization.
Work Environment
Process & Adoption is part of the Data & Analytics Implementation department within the Central Data & AI Office (CDAO). The team acts as the link between Data & AI strategy and everyday practice. It helps the organization adopt Data & AI capabilities, strengthen Data Management practices, and continuously improve how Data & AI is embedded across the bank. The work focuses on scalable adoption approaches, capability building, engagement, and successful implementation across a diverse and evolving Data & AI landscape.
The team consists of Data Management Experts and Business Consultants. Through process ownership, community leadership, adoption, and continuous improvement, the team contributes to a mature and scalable Data & AI organization.
Requirements
- Master's degree (WO) or equivalent level of thinking and working.
- Extensive experience in data transformation, change, and consulting roles within complex organizations; this is a hard requirement.
- Proven track record in driving organizational adoption, capability building, and change initiatives.
- Demonstrable experience implementing and embedding Data Management and Data Governance practices in a large-scale organizational environment.
- Proven ability to influence stakeholders without formal authority and drive enterprise-wide change across business and data domains.
- Ability to translate strategy into practical and scalable implementation approaches.
- Pragmatic, structured, and results-oriented, combined with a high degree of ownership and the ability to operate independently.
- A creative mindset.
Success in this role means proactively identifying opportunities, building momentum, and delivering meaningful improvements in Data & AI adoption, capability development, and organizational maturity.
Benefits
- Gross monthly salary based on a 36-hour work week, including holiday allowance and a flexible benefit budget.
- A 40-hour work week is also possible.
- Excellent pension scheme.
- Flexible working, with working from home possible in consultation with the team and depending on the role.
- Ergonomic home office setup.
- Five weeks of vacation per year, supplemented by two mandatory days off.
- Option to purchase up to four additional weeks of vacation annually.
- Five “Banking for better days” extra days off for personal development or volunteer work.
- Development budget of €1,000 per year, which can accumulate up to €3,000.
- Annual public transport pass providing free public transportation throughout the Netherlands for business and private use.
Additional Information
Applicants must currently live and work in the Netherlands.