• Du unterstützt bei der Entwicklung produktiver AI-Use-Cases – von der Idee über den Prototypen bis zur Produktivsetzung. • Du entwickelst, testest und dokumentierst Prompts, Workflows und Automatisierungen mit modernen AI-Tools. • Du unterstützt bei der Entwicklung und Durchführung von Schulungen, Workshops und Trainings rund um AI. • Du erstellst praxisnahe Lernmaterialien, Prompt-Sammlungen und Use-Case-Bibliotheken. • Du hilfst dabei, den Erfolg unserer Use Cases anhand relevanter Kennzahlen messbar zu machen.

Role Description The Global Consolidated Customer Data & AI Lead is a strategic leadership role with a dual mandate: globally, shaping consolidated customer data as a critical enterprise asset, and locally, translating Data & AI strategy into scalable business impact across multiple priority markets, with the U.S. and Canada as core markets. This role is central to building a more connected, trusted, and insight-led commercial engine. The successful candidate will turn harmonized customer data from various sources into competitive advantage by enabling: - Analytics - AI - Omnichannel engagement - Customer segmentation - Decision-making at global scale By combining global domain ownership with multi-market execution, this role bridges strategy and delivery. It ensures that enterprise standards, data products, and governance frameworks are shaped by real market needs. As AI becomes a core operating layer for commercial decision-making, customer data is evolving into continuous commercial intelligence. This role will help shape that future by: - Strengthening data foundations - Improving governance - Resolving duplication - Enabling intelligent systems for faster insight generation - More personalized engagement - Better investment decisions - Scalable growth across markets, channels, and customer types Qualifications - Master’s degree in Business, Economics, Data Science, Information Management, or a related field, or a bachelor’s degree with equivalent experience. - Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, quality, priorities, and business alignment, ideally in customer or account data. - Deep knowledge of customer data ecosystems, master data, retailer hierarchies, distributor records, identity resolution, matching and deduplication, and third-party enrichment sources. - Strong knowledge of data governance frameworks, master data management principles, and golden record logic. - Track record of enabling analytics and AI use cases through high-quality, well-structured, and compliant customer data. - AI-native mindset with strong curiosity, hands-on AI literacy and tool use. - Experience partnering with IT to integrate customer data into enterprise platforms. - Demonstrated success leading customer data consolidation or harmonization initiatives. - Proven experience working with IT teams on data strategy, governance, architecture, and compliance. - Strong knowledge of GDPR, US state privacy laws, and third-party data usage rights. - Experience with the Focus markets US and Canada commercial data landscape. - Strong leadership, communication, and stakeholder management skills. - Fluent English required; additional languages such as French or Spanish are an advantage. Requirements - Co-shaping in defining and executing the multiple markets with focus on US and Canada Data & AI strategy. - Translate global data domain strategies into effective execution in Focus markets US and Canada. - Support NA data governance, management, and quality for customer and procured data assets. - Collaborate with cross-functional stakeholders to translate data needs into actionable insights. - Work closely with IT to enable scalable, secure, and accessible data platforms. - Integrate process design, information architecture, data architecture, and user experience considerations. - Support cross-functional teams in Focus markets US and Canada by promoting a data-as-an-asset mindset. - Manage day-to-day Focus markets US and Canada data priorities. Benefits - Salary between $144160-216240. - Additional compensation may include a bonus or commission. - Health care, vision, dental, retirement, PTO, sick leave, etc.

Role Description As a premier banking institution in Egypt, we are rapidly scaling our cutting-edge AI and Machine Learning capabilities. To ensure this innovation does not compromise our security posture, our Cybersecurity Department is looking for an expert AI Cybersecurity Architect. In this highly strategic role, you will be the foundational architect behind the bank’s AI security governance. You will not just react to threats; you will build the comprehensive control frameworks, policies, and architectural standards that govern how AI models, Large Language Models (LLMs), and big data pipelines are safely developed, deployed, and managed across the enterprise. Key Responsibilities - Establish AI Security Governance Frameworks: Author, implement, and maintain the bank's enterprise-wide AI Security Policy. Align our internal AI governance with international standards (such as NIST AI RMF, ISO/IEC 42001, and OWASP Top 10 for LLMs) while strictly ensuring compliance with evolving Central Bank of Egypt (CBE) regulations and the Egyptian Data Protection Law. - Design & Build Cybersecurity Controls: Architect, enforce, and validate technical and administrative security controls tailored for the entire AI/ML lifecycle (Data Ingestion, Training, Deployment, and Inference). This includes building robust controls against data poisoning, model inversion, prompt injection, and unauthorized data exfiltration. - Secure MLOps Architecture: Define the reference architectures and secure guardrails for our Machine Learning Operations (MLOps) pipelines. Ensure that security checks, vulnerability scanning, and model integrity verifications are seamlessly integrated into our continuous deployment workflows. - Advanced AI Threat Modeling & Risk Assessment: Lead comprehensive risk assessments and threat-modeling exercises on all proprietary and third-party AI implementations. Identify structural risks in algorithmic logic, training data pipelines, and API integrations, translating technical risks into clear business governance metrics. - Third-Party & Vendor AI Governance: Develop and execute rigorous cybersecurity assessment frameworks for evaluating third-party AI tools, cloud-hosted models, and external vendors, ensuring they meet the bank’s strict data privacy and control standards. Qualifications - 8+ years of progressive experience in Cybersecurity Architecture or IT Risk Governance, with at least 3+ years of dedicated experience explicitly focused on securing AI/ML systems and building enterprise governance frameworks. - Minimum of 3 years of experience working within a regulated financial institution in Egypt. You must possess an intricate understanding of CBE cybersecurity circulars, auditing standards, and banking compliance requirements. - Proven track record of designing, writing, and implementing complex cybersecurity control frameworks from scratch. Deep familiarity with traditional frameworks (NIST SP 800-53, ISO 27001) as well as modern AI-specific guardrails is a must. - Strong conceptual and practical understanding of AI/ML infrastructure, including neural networks, LLM orchestration layers, vector databases, and cloud data platforms (Azure, AWS, or hybrid environments). You must speak the language of both data scientists and enterprise security engineers. - Bachelor’s degree in Cybersecurity, Computer Engineering, Computer Science, or a related technical discipline. - Elite security certifications are highly preferred (e.g., CISSP, CISM, CRISC, or CCSP), alongside any specialized AI security credentials. - Exceptional communication and stakeholder management skills. You must possess the professional maturity to present complex AI risks to C-suite executives and board members, while maintaining the technical credibility to influence data science teams. Fluency in English. Benefits - Attractive, market-leading salary package - Clear career advancement path with professional development opportunities

Role Description Transform security operations for the AI era. We are looking for a senior cybersecurity professional to help redesign how modern Security Operations Centers detect, investigate and respond to threats by combining Detection & Response expertise, security automation, AI automation and agentic AI capabilities. The role will focus on turning traditional SOC processes into intelligent, controlled and scalable workflows, where AI agents can assist analysts, automate repetitive tasks, enrich investigations, recommend actions and accelerate response while maintaining human oversight, auditability and security control. This is a hands-on architecture role at the intersection of SecOps, SIEM/SOAR, Detection Engineering, Incident Response and AI-native automation. The ideal candidate will help organizations move from manual, ticket-driven security operations toward a new operating model where analysts, automation and AI agents work together to increase speed, consistency and resilience. Key Responsibilities - AI-native SOC transformation - Analyze current SOC operating models, L1/L2 activities, escalation flows and response procedures. - Identify opportunities to automate, augment or redesign detection and response processes using AI automation and agentic workflows. - Translate analyst knowledge into structured, reusable and automatable workflows. - Define how AI agents can support alert triage, enrichment, investigation, prioritization and response. - Establish clear boundaries between autonomous actions, AI-assisted recommendations and human decision points. - Help organizations evolve from traditional SOC processes to AI-enabled security operations. - Detection & Response automation architecture - Define automation blueprints for common detection and response use cases. - Convert incident response playbooks into structured workflows. - Define decision trees, enrichment steps, evidence requirements and output formats. - Support the design of automated triage, false positive reduction and incident prioritization. - Create reusable patterns for investigation, containment, escalation and reporting. - Ensure automation is reliable, explainable and operationally useful for SOC teams. - Agentic security operations design - Define agent roles, responsibilities, permissions and execution boundaries. - Design human-in-the-loop models for sensitive or high-impact actions. - Define approval workflows, escalation paths and confidence thresholds. - Ensure agent recommendations are explainable, traceable and auditable. - Define logging and evidence requirements for AI-assisted decisions. - Identify and mitigate risks such as unsafe automation, hallucination, excessive permissions, prompt injection, data leakage or incorrect response actions. - Work with AI engineering teams to ensure agentic workflows are secure, controlled and aligned with security operations needs. - SIEM, SOAR and security tooling integration - Human-in-the-loop operating model - Continuous improvement and operational impact Relevant Technology Exposure - SIEM platforms such as Microsoft Sentinel, Splunk, QRadar, Chronicle or similar. - SOAR platforms and automation frameworks. - XDR / EDR platforms and cloud security platforms. - Identity and access management systems. - Threat intelligence platforms. - Case management and ticketing tools. - AI automation platforms, agentic AI frameworks and enterprise AI orchestration environments. - Microsoft Foundry, Microsoft Security Copilot, Logic Apps, Azure Functions or automation runbooks, where relevant. Qualifications - 6+ years of experience in cybersecurity, with strong background in Detection & Response, SOC operations, security automation, SIEM engineering or security architecture. - Proven experience designing or implementing AI automation, AI-assisted workflows, agentic automation or AI-enabled operational processes. - Strong understanding of how modern SOCs operate across L1, L2 and L3 functions. - Experience designing or improving detection use cases, triage processes, incident response procedures and SOC playbooks. - Hands-on experience with SIEM and/or SOAR platforms. - Ability to translate analyst procedures into structured workflows, decision trees and automation requirements. - Good understanding of alert enrichment, case management, incident lifecycle management and escalation models. - Practical understanding of identity, permissions, API integrations and secure automation design. - Ability to work with SOC analysts, security architects, engineering teams and senior client stakeholders. - Strong documentation skills, especially for operational procedures, use case specifications and technical architecture. - Ability to design automation that works in real SOC environments, not just theoretical diagrams. Desirable Experience - Microsoft Sentinel, Defender XDR or Microsoft Security Copilot. - Microsoft Foundry or Azure AI-based automation. - Agentic AI workflows in cybersecurity or IT operations. - Loop generation and maintenance. - SOC automation / SOAR implementation. - Logic Apps, Azure Functions or automation runbooks. - KQL, SPL or equivalent SIEM query languages. - Detection engineering and MITRE ATT&CK mapping. - Threat intelligence enrichment. - Incident response automation. - XDR / EDR platforms and cloud security operations. - Case management integration. - Enterprise SOC transformation programs. - MDR/MSSP operating models. - Purple teaming or detection validation. - DevSecOps or infrastructure automation. - GRC/control evidence automation for security operations. Benefits - Salary determined by the market and your experience 🤑 - Flexible schedule 35 Hours / Week 😎 - Fully remote work (optional) 🌍 - Flexible compensation (restaurant, transport, and childcare) ✌ - Fully free health insurance, with a co-payment for dental services 🚑 - Individual budget for training or equipment and free Microsoft certifications 📚 - English lessons 🗽 - Birthday day off 🌴🥳 - Monthly bonus for electricity and Internet expenses at home 💻 - Discount on gym plan and sports activities 🔝 - Plain Camp (annual team-building event) 🎪 - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.