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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

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 looking for people who understand how software actually breaks in production and how security issues emerge in real, live systems. You will work with realistic application security scenarios to help AI systems learn how to assess, prioritize, and remediate risk.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Application Security Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $38&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review and analyze application security scenarios across code, APIs, and system behavior
 </li>
 <li>
 Classify vulnerabilities such as authentication flaws, injection risks, and business logic issues
 </li>
 <li>
 Evaluate secure coding practices and remediation strategies
 </li>
 <li>
 Help create and validate security-focused reasoning datasets that teach AI how to assess application risks accurately
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years in application, product, or software security roles
 </li>
 <li>
 Familiarity with the OWASP Top 10 and common production vulnerabilities
 </li>
 <li>
 Ability to distinguish real exploitability from theoretical risk
 </li>
 <li>
 Clear written communication and structured security reasoning
 
 
 </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>

Application Security 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

<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 are seeking hands-on infrastructure security practitioners to analyze, classify, and evaluate real-world network and endpoint security scenarios. You will work with realistic enterprise environments to capture how threats, controls, and failures interact in production systems.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : Network &amp; Infrastructure Security 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 network, endpoint, and email security scenarios across modern enterprise stacks
 </li>
 <li>
 Review firewall, EDR, and infrastructure security cases to determine what went wrong and why
 </li>
 <li>
 Classify incidents, misconfigurations, and control failures based on real operational data
 </li>
 <li>
 Create, label, and validate security training and evaluation datasets used to improve AI systems
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 2+ years of experience in network, infrastructure, or endpoint security roles
 </li>
 <li>
 Familiarity with firewalls, EDR, email security, IAM, SIEMs, and enterprise tooling
 </li>
 <li>
 Strong understanding of how real organizations deploy and operate security controls
 </li>
 <li>
 Ability to clearly explain security issues, root causes, and business impact
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work
 </li>
 <li>
 Work directly on frontier AI and security systems
 </li>
 <li>
 Freelance perks including 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

Valeo

<div>
 
 We are looking for a
 
 Senior UI/UX Designer
 
 to join the
 
 AI4All global team
 
 and lead the design of intuitive, scalable, and impactful AI-powered digital products.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead end-to-end UX/UI design for complex AI-driven products, from discovery to launch.
 </li>
 <li>
 Own UX strategy, information architecture, interaction models, and experience vision.
 </li>
 <li>
 Design high-fidelity user flows, wireframes, prototypes, and production-ready UI.
 </li>
 <li>
 Engage directly with customers, users, and stakeholders to understand needs, pain points, and expectations.
 </li>
 <li>
 Plan and conduct user research, interviews, workshops, and usability testing with customers and internal teams.
 </li>
 <li>
 Facilitate design discussions and present design solutions to stakeholders, clearly explaining rationale, trade-offs, and impact.
 </li>
 <li>
 Collaborate closely with product owners, developers, data scientists, and business stakeholders to ensure alignment and smooth delivery.
 </li>
 <li>
 Manage and evolve design systems, ensuring consistency, scalability, and accessibility across products.
 </li>
 <li>
 Mentor junior designers and support design quality across the team.
 </li>
 <li>
 Advocate for UX best practices, AI usage and ensure customer-centric thinking across product decisions.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Applied Arts, Fine Arts, Design, or a related field.
 </li>
 <li>
 4+ years of professional experience in UI/UX or Product Design.
 </li>
 <li>
 Strong expertise in UX methodologies, user-centered design, and design thinking.
 </li>
 <li>
 Advanced proficiency in Figma (design systems, auto layout, prototyping).
 </li>
 <li>
 Strong skills in Adobe illustrator; knowledge of other Adobe tools is a plus.
 </li>
 <li>
 Proven experience working with customers and cross-functional stakeholders.
 </li>
 <li>
 Strong portfolio demonstrating UX problem-solving, design rationale, and business outcomes.
 </li>
 <li>
 Good understanding of front-end technologies (HTML, CSS, React) to collaborate effectively with engineering teams.
 </li>
 <li>
 Experience designing AI-powered products or using AI design tools is a strong plus.
 </li>
 </ul>
</div>

Senior UI/UX Designer, AI4ALL

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