AI Value Steering & Lifecycle Management 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 @ 3
Compliance
Experimentation
Reporting @ 3
- 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
AI ambition is increasingly translating into concrete initiatives across ABN AMRO. As the number of AI use cases grows, the challenge evolves from identifying opportunities to making informed decisions about where to invest, what to scale, and how to maximise value across the AI portfolio.
As AI Value Steering & Lifecycle Management Consultant, you will help ensure that AI investments deliver sustainable business value. You will support the governance, steering and optimisation of the AI portfolio by creating transparency on value, adoption, costs, risks and strategic alignment. Through portfolio insights and stakeholder engagement, you will enable data-driven decisions on which AI initiatives should be accelerated, scaled, adjusted or retired.
You will be part of the AI Value Realisation Team within the Central Data & Office (CDO), working at the heart of the bank's AI transformation. The team operates at the intersection of AI strategy, portfolio management and value realization, collaborating with business stakeholders, AI product teams and senior leadership across business domains, data, technology, risk and compliance.
Responsibilities
- Support the management and continuous improvement of the AI portfolio, ensuring transparency across initiatives, investments, outcomes and strategic priorities.
- Establish and maintain portfolio-level insights on AI use cases, including maturity, adoption, business value, costs, dependencies and risks.
- Analyse portfolio data and translate insights into recommendations supporting investment, prioritization and scaling decisions.
- Enable effective AI lifecycle management by supporting initiatives from ideation and experimentation through scaling and value realization.
- Develop and maintain reporting, dashboards and steering materials for leadership and governance forums.
- Contribute to the development and implementation of frameworks, KPIs and governance practices supporting AI value realization.
- Drive stakeholder engagement across multiple organizational levels and build strong relationships with key decision makers.
Requirements
- Relevant experience in portfolio management, strategic consulting, transformation management or a similar environment.
- Experience working with complex portfolios, strategic initiatives or investment decision-making processes.
- Strong stakeholder management skills and the ability to influence and align diverse stakeholder groups.
- Experience translating data, performance metrics and portfolio insights into actionable recommendations.
- Affinity with AI and data environments.
- Fluency in English.
- Bachelor or Master level thinking and working capability.
Preferred Qualifications
- Experience with value realization, benefits management or investment steering.
- Experience with portfolio governance and reporting frameworks.
- Experience working in data, analytics or AI-related environments.
Benefits
- Gross monthly salary of €4,634–€6,620, based on a 36-hour work week, including holiday allowance and a flexible benefit budget.
- 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, with the option to purchase up to four additional weeks annually.
- Five additional “Banking for better days” 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.
- Employment conditions governed by the ABN AMRO Collective Labour Agreement (CLA).