14 May 2026

Service Manager - AI, Risk and Information analytics

ING Nederland

Amsterdam

14 May 2026

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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.

On-siteFull-timeMid LevelPower BIPower Apps

Service Manager - AI, Risk and Information analytics

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On-siteFull-timeMid LevelPower BI

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

minimum of 5 years of relevant experience

Core Qualifications

Technical (Must-have)

Power BIPower AppsPower AutomateCopilotAI agentsGenerative AIprompt engineeringData Analysis

Soft Skills

stakeholder managementcommunicationcollaborationproblem solvingself-steeringproactiveagileinterpersonal skillspragmaticresult-driven

Tools (Must-have)

Power BIPower AppsPower AutomateCopilot

Preferred Qualifications

Technical (Nice-to-have)

data engineering

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.

Service ManagerRisk InformationAnalyticsPower BIPower AppsPower AutomateGenerative AIAINon-Financial RiskING

Core Qualifications

Technical (Must-have)

Power BIPower AppsPower AutomateCopilotAI agentsGenerative AIprompt engineeringData Analysis

Soft Skills

stakeholder managementcommunicationcollaborationproblem solvingself-steeringproactiveagileinterpersonal skillspragmaticresult-driven

Tools (Must-have)

Power BIPower AppsPower AutomateCopilot

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.