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ai product business analyst

<div>
 
 Position Overview
 
 
 The AI Product Business Analyst acts as the strategic link between business needs and AI-enabled solutions within the TP.ai FAB ecosystem.
 
 
 This role supports the design, delivery, and optimization of AI-powered products by gathering requirements, analyzing data, and translating insights into actionable recommendations for engineering, data, and product teams.
 
 
 Focused on business value, explainability, and ethical compliance, the Analyst ensures that AI features and models deliver measurable impact while maintaining human-centered design principles.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Business Requirement Gathering &amp; Analysis
 
 
 &middot; Collaborate with stakeholders to capture detailed business needs and translate them into functional and non-functional requirements.
 
 
 &middot; Identify opportunities to embed AI capabilities &mdash; including automation, predictive analytics, conversational AI, and generative features &mdash; into digital products and business workflows.
 
 
 &middot; Document and maintain end-to-end process and data flows connecting AI agents, APIs, and human users.
 
 
 &bull; Data-Driven Insight &amp; Solution Definition
 
 
 &middot; Analyze business and operational data to uncover trends, patterns, and improvement opportunities.
 
 
 &middot; Support data scientists and engineers by aligning model outputs with real-world business objectives.
 
 
 &middot; Assist in defining and tracking AI success metrics (accuracy, precision, automation rate, confidence thresholds, etc.).
 
 
 &bull; Process Optimization &amp; Modeling
 
 
 &middot; Map existing workflows, identify bottlenecks, and recommend automation or process redesign.
 
 
 &middot; Develop current-state and future-state business process models using standardized frameworks.
 
 
 &middot; Propose solutions that optimize value, cost efficiency, and user experience while maintaining ethical AI practices.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &middot; Act as a liaison between Product, Engineering, Data Science, and Operations to ensure clarity and alignment.
 
 
 &middot; Participate in agile ceremonies &mdash; grooming, sprint planning, and retrospectives &mdash; to ensure delivery consistency.
 
 
 &middot; Lead stakeholder workshops and feedback sessions to validate requirements and refine priorities.
 
 
 &bull; Testing, Documentation &amp; Continuous Improvement
 
 
 &middot; Participate in UAT (User Acceptance Testing) and validation of AI-enabled features.
 
 
 &middot; Maintain comprehensive documentation (Business Requirement Documents, User Stories, and Functional Specs).
 
 
 &middot; Track performance post-deployment and recommend iterative improvements based on feedback and analytics.
 
 
 &bull; Ethical &amp; Responsible AI Awareness
 
 
 &middot; Support prompt testing, explainability validation, and bias detection in AI outputs.
 
 
 &middot; Ensure product features adhere to Responsible AI, privacy, and data governance principles.
 
 
 &middot; Balance automation efficiency with human oversight and transparency across all product interactions.
 
 
 
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 Educational Background
 
 
 &middot; Bachelor&rsquo;s degree in Business Administration, Computer Science, Information Systems, Engineering, or a related field.
 
 
 &middot; Certifications in AI Product Management, Data Analytics, or Agile Product Ownership are preferred.
 
 
 
 
 
 Experience
 
 
 &middot; 2&ndash;5 years of experience in Business Analysis, Product Management, or Product Operations roles within digital or technology environments.
 
 
 &middot; Proven ability to support the end-to-end product lifecycle &mdash; from discovery and requirements gathering to deployment and optimization.
 
 
 &middot; Experience collaborating with Product, Engineering, Data Science, and UX teams in global, matrixed organizations.
 
 
 &middot; Exposure to AI-powered or data-driven products (e.g., conversational AI, predictive models, or automation platforms).
 
 
 
 
 
 Technical Skills
 
 
 &middot; Working knowledge of AI technologies (NLP, ML, LLMs, computer vision).
 
 
 &middot; Familiarity with AI platforms (Azure AI, OpenAI, Vertex AI, or equivalent).
 
 
 &middot; Understanding of data analytics fundamentals and business intelligence tools (Power BI, SQL, or similar).
 
 
 &middot; Exposure to prompt engineering, AI product testing, and AI evaluation metrics.
 
 
 &middot; Knowledge of ethical AI principles, bias mitigation, and compliance standards.
 
 
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements
 
 
 &middot; Analytical, curious, and detail-oriented problem solver.
 
 
 &middot; Strong communication skills &mdash; able to bridge business and technical language fluently.
 
 
 &middot; Collaborative and adaptable in agile, cross-functional settings.
 
 
 &middot; Balances human judgment with data-driven insights.
 
 
 &middot; Ethical, empathetic, and user-focused mindset with commitment to responsible AI.
 
</div>

AI Product Business Analyst

<div>
 
 
 Job Summary:
 
 
 
 
 
 
 The AI Product Manager is responsible for defining, building, and scaling AI-powered products within TP&rsquo;s global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high-impact AI solutions. The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human-AI orchestration, responsible AI practices, and alignment with TP&rsquo;s AI strategy.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 AI Product Strategy &amp; Roadmap Execution:
 
 
 
 
 
 <ul>
 <li>
 Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions.
 </li>
 <li>
 Translate business problems into clear AI product requirements, user stories, and success metrics.
 </li>
 <li>
 Prioritize features and initiatives based on impact, feasibility, and strategic alignment.
 </li>
 </ul>
 
 
 
 
 
 End-to-End AI Product Lifecycle Ownership:
 
 
 
 
 
 <ul>
 <li>
 Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement.
 </li>
 <li>
 Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches.
 </li>
 <li>
 Ensure products are scalable, secure, explainable, and production-ready.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Delivery:
 
 
 <ul>
 <li>
 Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality.
 </li>
 <li>
 Act as the primary product point of contact for assigned AI initiatives.
 </li>
 <li>
 Support adoption through clear documentation, enablement materials, and stakeholder alignment.
 </li>
 </ul>
 
 
 AI Performance &amp; Business Impact:
 
 
 
 
 
 <ul>
 <li>
 Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency.
 </li>
 <li>
 Analyze performance data and user feedback to inform product iterations and enhancements.
 </li>
 <li>
 Support ROI measurement and value realization for AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 Responsible &amp; Ethical AI:
 
 
 
 
 
 <ul>
 <li>
 Ensure AI products comply with security, data privacy, and responsible AI governance standards.
 </li>
 <li>
 Collaborate with Legal, Security, and Compliance teams during product design and deployment.
 </li>
 <li>
 Promote transparency, explainability, and human-in-the-loop design principles.
 </li>
 </ul>
 
 
 
 
 
 Market &amp; Technology Awareness:
 
 
 
 
 
 <ul>
 <li>
 Stay informed on AI trends (LLMs, NLP, multimodal models, MCP, orchestration) relevant to assigned products.
 </li>
 <li>
 Apply emerging AI capabilities pragmatically to enhance existing products and use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Requirement:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Engineering, Business Administration, or a related field.
 </li>
 <li>
 MBA, MSc in AI/ML, or equivalent executive program preferred.
 </li>
 <li>
 4&ndash;6 years of experience in
 
 Product Management, with at least 2&ndash;3 years working on AI or ML-driven products.
 
 </li>
 <li>
 Hands-on experience
 
 delivering AI solutions in enterprise or digital transformation environments.
 
 </li>
 <li>
 Strong experience working with cross-functional technical and business teams in global organizations.
 </li>
 <li>
 Experience
 
 integrating AI technologies into enterprise ecosystems (e.g., Azure AI Foundry, OpenAI, Genesys, ServiceNow, Salesforce).
 
 </li>
 <li>
 Demonstrated ability to drive
 
 AI product delivery and measurable business outcomes as an individual contributor.
 
 </li>
 <li>
 Solid understanding of
 
 AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration).
 
 </li>
 <li>
 Familiarity with
 
 AI platforms and MLOps environments (Azure, AWS, Vertex, etc.).
 
 </li>
 <li>
 Proficiency in
 
 Agile/Scrum methodologies and product tools (Jira, Aha!, Confluence).
 
 </li>
 <li>
 Strong analytical skills to interpret product performance data and user insights.
 </li>
 </ul>
</div>

AI Product Manager

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 Job Description
 
 
 
 
 About the role
 
 
 
 Orange is seeking a talented and motivated Data Analyst to join our Digital AI Skills Centers in Egypt. The ideal candidate will be responsible for understanding data needs, collecting and formatting data, storing, processing, and analyzing it to extract actionable insights.
 
 
 
 Key Responsibilities
 
 
 
 Perform advanced data analysis using cutting-edge methods to uncover hidden insights and demonstrate business value.
 
 
 Develop and apply complex statistical models and innovative data visualizations to reveal insights and business value.
 
 
 Present findings in a comprehensible manner and advise management on actionable steps.
 
 
 Create and deliver data-driven products (e.g., automated decision systems, AI-based anomaly detection) and monitor performance through industrialization.
 
 
 
 Qualifications
 
 
 
 
 About you
 
 
 
 Bachelor's degree in Data Science , Computer Science, Statistics, or related fields.
 
 
 A minimum of 5 years of proven experience as a Data Analyst or in a similar role.
 
 
 Proficiency in data analysis tools and software.
 
 
 Strong analytical and problem-solving skills.
 
 
 
 Technical Skills
 
 
 
 Data Ingestion: Ability to understand new data requirements and organize data collection from backend systems, primarily using Elastic.
 
 
 Data Processing: Use relevant data integration techniques to handle data from various sources, such as Dataiku, Logstash, or Python.
 
 
 Data Analysis: Analyze and interpret data to reveal hidden insights and demonstrate business value using the most appropriate data analysis tools.
 
 
 Data Visualization: Present complex datasets using tools like PowerBI , in a way that allows for quick and easy understanding of the main information contained in the data.
 
 
 Flexibility to integrate new technologies as needed
 
 
 Senior Data Analyst, proficient in onboarding new team members.
 
 
 You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Data Analyst

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

Alignerr

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re building and evaluating advanced AI systems that reason through security incidents, alerts, and investigations in order to better mirror real-world response environments. You will work with realistic SOC scenarios to ensure AI outputs reflect how analysts actually detect, triage, and respond to threats.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Security Operations Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $30&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze incident and alert scenarios to understand what is happening and why it matters
 </li>
 <li>
 Classify severity, determine root causes, and recommend appropriate response actions
 </li>
 <li>
 Review detection logic and investigation workflows
 </li>
 <li>
 Help validate AI outputs so they align with how security analysts work in practice
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in SOC, incident response, or security operations roles
 </li>
 <li>
 Familiarity with SIEM platforms, alert triage, and investigation workflows
 </li>
 <li>
 Ability to distinguish true security signals from background noise and false positives
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Security Operations Analyst

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 Identity sits at the core of most modern security failures, and we&rsquo;re looking for people who understand how and why identity systems break in real environments. You will work with realistic identity and access scenarios to help ensure AI systems learn how IAM risk actually emerges and propagates.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Identity &amp; Access Management (IAM) Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $35&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze IAM, SSO, and access control scenarios to identify weaknesses and misconfigurations
 </li>
 <li>
 Classify permission issues, privilege escalation paths, and identity-related failures
 </li>
 <li>
 Review zero-trust models and access design decisions
 </li>
 <li>
 Help generate and validate realistic identity security data used to train and evaluate AI systems
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years working with IAM, SSO, or enterprise identity platforms
 </li>
 <li>
 Familiarity with RBAC, least-privilege models, and access review processes
 </li>
 <li>
 Understanding of how identity failures occur and how attackers exploit them
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Identity & Access Management (IAM) Analyst

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re building high-quality datasets and evaluation frameworks for security and risk reasoning. We&rsquo;re looking for practitioners who understand how security policies, compliance programs, audits, and risk management actually work inside real organizations.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Governance, Risk &amp; Compliance (GRC) Analyst
 
 Type
 
 : Hourly Contract
 
 Compensation
 
 : $30&ndash;$55 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review and analyze security policies, controls, and procedures
 </li>
 <li>
 Classify and evaluate compliance scenarios (SOC2, ISO, etc.)
 </li>
 <li>
 Assess risk statements and control mappings
 </li>
 <li>
 Help generate and validate training and evaluation data for AI systems
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in GRC, compliance, or risk management
 </li>
 <li>
 Familiar with SOC2, ISO 27001, NIST, or similar frameworks
 </li>
 <li>
 Comfortable reading and interpreting policy and audit-style documentation
 </li>
 <li>
 Detail-oriented and precise in written reasoning
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality, or evaluation systems
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Governance, Risk & Compliance (GRC) Analyst

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