Service Manager – AI, Risk & Information Analytics – Amsterdam | Visa + Salary Insights
📍 Location: nl
🏷 Type: Not specified
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Job Overview
This role positions you as a Service Manager in AI, Risk & Information Analytics within a leading global banking environment in Amsterdam. You will operate at the intersection of Non-Financial Risk (NFR), data analytics, and automation, enabling better operational control and resilience. The ideal candidate is a mid-to-senior level professional (5+ years) with strong expertise in Power BI, data storytelling, and stakeholder management across complex financial ecosystems. You will translate risk data into actionable insights and support digital transformation using AI-enabled tools.
🌍 Work Eligibility & Location
- 🌍 Visa Sponsorship: Not explicitly stated (case-by-case for specialized talent)
- ✈️ Relocation Support: Likely available for international hires
- 🏠 Remote Type: Hybrid (office in Amsterdam + remote flexibility)
- ⏰ Timezone Requirement: CET (European working hours)
- 🌐 Country Restrictions: Not specified
- 🗣️ Language Requirement: English (professional proficiency required)
This role is based in Amsterdam with a strong emphasis on Hybrid work, combining in-office collaboration with remote analytics delivery. While explicit visa sponsorship is not stated, large EU banks often support highly skilled international professionals, especially in data and AI risk domains.
💰 Salary Intelligence
- 💰 Official Salary: Not disclosed
- 📊 Estimated Range: €70,000 – €110,000 annually
- 📈 Level: Mid–Senior (5+ years)
Compensation is competitive for the Dutch financial sector, especially given the combination of Power BI expertise, AI automation skills, and risk analytics ownership. Total rewards may include bonuses, pension contributions, and mobility benefits typical of major European banks.
📊 Role Breakdown
This position is deeply embedded in data-driven risk transformation. You will design and manage Power BI dashboards that visualize operational risk trends, control effectiveness, and compliance signals across business units. A key responsibility is translating complex NFR datasets into actionable executive insights that improve decision-making quality across the organization.
You will also leverage Power Apps and Power Automate to eliminate manual reporting processes, improving operational efficiency by up to 30–40% in some workflows. A major focus is integrating Generative AI tools such as Copilot and AI agents to automate narrative reporting and enhance dashboard intelligence.
Beyond tooling, you act as a service owner, ensuring analytics products are reusable, scalable, and aligned with governance frameworks. You will collaborate with 1st and 2nd line risk teams to harmonize definitions, avoid duplication, and ensure consistent risk interpretation. This role requires strong ownership of data pipelines, continuous improvement mindset, and ability to connect analytics with real business risk outcomes.
🧩 Required Skills & Fit
- ✅ Must: Power BI (advanced dashboards, data modeling)
- ✅ Must: Power Apps & Power Automate
- ✅ Must: Data analysis & risk reporting
- ➕ Bonus: Generative AI (Copilot, AI agents)
- ➕ Bonus: Banking or financial risk experience
📈 Difficulty & Competitiveness
- ⚡ Level: Senior
- 📊 Experience barrier: 5+ years
- 🧠 Skill complexity: High (data + risk + AI + automation)
- 🌍 Competition: High (global banking talent pool)
This is a highly competitive role due to its hybrid nature of risk governance + AI-driven analytics. Candidates with strong Power Platform expertise and financial sector experience will have a clear advantage. The combination of technical depth and stakeholder complexity makes this a selective hiring process.
🚀 Career Impact
- ⭐ Impact Rating: ⭐⭐⭐⭐⭐
- 🏢 Brand value: Top-tier European banking institution
- 📚 Skill growth: Advanced AI + enterprise risk analytics
- 🚀 Future opportunities: AI Risk Lead, Data Governance Lead
This role provides strong long-term value by placing you at the center of AI-driven risk transformation in banking. You will build high-demand skills in automation, governance, and analytics leadership, opening pathways into senior roles in risk strategy, AI governance, and enterprise data architecture.
📋 Key Responsibilities
You will develop and maintain Power BI dashboards that enable real-time monitoring of operational risk and control effectiveness. A core part of your role is transforming raw risk data into structured insights for leadership decision-making. You will also design workflows using Power Apps and Power Automate to eliminate inefficiencies in reporting and risk tracking.
Additionally, you will integrate AI-powered solutions such as Copilot to generate automated summaries and risk narratives. Collaboration is central, as you will work closely with compliance, data management, and international teams to ensure consistent risk definitions. You will also support governance alignment, ensuring all analytics outputs meet internal and regulatory standards while improving scalability and automation across the organization.
🎯 Application Strategy
- 🎯 Best apply method: Direct ING careers portal
- 🔥 Highlight: Power BI expertise
- 🔥 Highlight: AI automation experience
- ❌ Avoid: Generic BI descriptions
- ❌ Avoid: Overstating banking exposure
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Service Manager – AI, Risk & Information Analytics in a global banking environment focused on Power BI, AI automation, and Non-Financial Risk governance.
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🧠 Fit & Positioning Analysis
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📅 Application Signals
This is a high-urgency hiring profile due to its focus on AI-driven transformation in risk management. Competition is expected to be strong, especially from candidates with banking analytics and Power Platform expertise. Early applications typically perform better in multi-stage banking recruitment pipelines.
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✅ Job Source & Verification
This listing is sourced directly from an official banking careers portal and reflects a verified corporate job posting. The role details are current as of the latest update provided in the listing. All responsibilities and requirements are aligned with enterprise risk and analytics standards within a major European financial institution.
