Service Manager - AI, Risk and Information analytics
ING Nederland
Service Manager - AI, Risk and Information analytics
ING Netherlands seeks a Service Manager for AI, Risk, and Information analytics to scale control assurance operations and drive Non-Financial Risk awareness. The role combines service ownership, Power Platform expertise, and applied Generative AI to deliver risk dashboards and automation. Requires strong hands-on Power BI, Power Apps, Power Automate, and AI/GenAI experience with a bachelor's degree and 5+ years in banking or financial industry.
Service Manager - AI, Risk and Information analytics
ING Netherlands seeks a Service Manager for AI, Risk, and Information analytics to scale control assurance operations and drive Non-Financial Risk awareness. The role combines service ownership, Power Platform expertise, and applied Generative AI to deliver risk dashboards and automation. Requires strong hands-on Power BI, Power Apps, Power Automate, and AI/GenAI experience with a bachelor's degree and 5+ years in banking or financial industry.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Tools (Must-have)
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design, build, and maintain Power BI dashboards supporting operational steering, risk trends, and in-control transparency.
- Translate NFR and business requirements into intuitive, decision-oriented data visualizations.
- Develop thematic risk insights based on Events & Issues, control evaluations, and risk assessments.
- Ensure dashboards and reports are consistent, reusable, and aligned with governance standards.
- Use Power Apps and Power Automate to streamline workflows and automate manual reporting and steering activities.
- Explore, pilot, and scale AI-driven solutions (e.g., Copilot, AI agents, GenAI summarization and narrative generation).
- Identify opportunities where AI can reduce manual effort, improve insight quality, or increase scalability.
- Apply responsible AI practices and align solutions with NFR governance and model/tool usage standards.
- Understand relevant data flows and source systems for NFR steering.
- Work with Data Management and IT to enable data availability and quality.
- Drive continuous improvement toward data- and AI-driven ways of working within ODCR and 1LoD.
- Act as service owner for risk information, analytics, and automation products.
- Collaborate with Business Control, Tribe Leads, and Product Owners to translate steering needs into scalable solutions.
- Partner with 2nd Line (ORM/Compliance) to align definitions, avoid duplication, and strengthen risk transparency.
- Coordinate with international hubs to ensure consistent delivery and reuse of analytics and automation components.
- Monitor overall control performance and reporting, ensuring business leadership has a clear view of their control status and risk exposure.
- Raise awareness within the business on relevant NFR topics; provide timely guidance and support during risk and control events.
- Identify synergies across tribes and domains; propose scalable or automated monitoring approaches.
- Maintain relationships with business, Business Partners in 1LoD, and 2LoD stakeholders and gatekeep information to control hubs counterparts.
- Create and improve processes and Work Process Instructions (WPIs) to ensure efficient and effective control assurance operations.