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business development specialist

data analytics customer intelligence specialist

TAWANTECH

<div>JOB PURPOSE &amp; SUMMARY
The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
strategies. The successful candidate will design robust predictive frameworks and build self-service
visualization assets to guide corporate decision-making.
KEY RESPONSIBILITIES<ul><li>Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product</li></ul>
affinity.<ul><li>Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey</li></ul>
friction points, and engagement lifecycle stages.<ul><li>Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly</li></ul>
measure marketing ROI and portfolio performance.<ul><li>Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,</li></ul>
real-time metrics for executive leadership.<ul><li>Extract, clean, and manipulate heavy transactional and profile records from central enterprise data</li></ul>
warehouses.<ul><li>Act as an analytical business partner, converting data findings into commercial recommendations for</li></ul>
product development and marketing departments. 
Requirements 
JOB REQUIREMENTS &amp; QUALIFICATIONS<ul><li>Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity.</li><li>Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive</li></ul>
statistical teams, or sophisticated commercial analysis environments.<ul><li>Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/</li></ul>
data manipulation and Python for statistical modeling.<ul><li>Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual</li></ul>
dashboards in Power BI or Tableau.<ul><li>Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity</li></ul>
modelling) and executing behavioral analytics tracks.</div>

Data Analytics / Customer Intelligence Specialist

<div>
 
 Job Purpose &amp; Summary
 
 
 
 The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets
 
 
 into predictive, highly actionable commercial intelligence. Operating at the intersection of data science and
 
 
 business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial
 
 
 strategies. The successful candidate will design robust predictive frameworks and build self-service
 
 
 visualization assets to guide corporate decision-making.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product
 
 
 </li>
 </ul>
 affinity.
 
 
 <ul>
 <li>
 Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey
 
 
 </li>
 </ul>
 friction points, and engagement lifecycle stages.
 
 
 <ul>
 <li>
 Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly
 
 
 </li>
 </ul>
 measure marketing ROI and portfolio performance.
 
 
 <ul>
 <li>
 Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated,
 
 
 </li>
 </ul>
 real-time metrics for executive leadership.
 
 
 <ul>
 <li>
 Extract, clean, and manipulate heavy transactional and profile records from central enterprise data
 
 
 </li>
 </ul>
 warehouses.
 
 
 <ul>
 <li>
 Act as an analytical business partner, converting data findings into commercial recommendations for
 
 
 </li>
 </ul>
 product development and marketing departments.
 
 
 
 Requirements
 
 
 
 
 JOB REQUIREMENTS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Experience: 3 to 7 years of specialized professional experience in an analytics-focused capacity
 </li>
 <li>
 Domain Background: Prior exposure to banking analytics, customer intelligence divisions, predictive
 
 
 </li>
 </ul>
 statistical teams, or sophisticated commercial analysis environments.
 
 
 <ul>
 <li>
 Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/
 
 
 </li>
 </ul>
 data manipulation and Python for statistical modeling.
 
 
 <ul>
 <li>
 Visualization Stack: Strong hands-on experience building structured, production-ready interactive visual
 
 
 </li>
 </ul>
 dashboards in Power BI or Tableau.
 
 
 <ul>
 <li>
 Analytical Specialties: Direct experience applying predictive modeling techniques (such as propensity
 
 
 </li>
 </ul>
 modelling) and executing behavioral analytics tracks.
</div>

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce&rsquo;s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.
Role Description
The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.
You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers
It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
Key Responsibilities
<ul><li>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
</li><li>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.
</li><li>Connect the &ldquo;Art of the Possible&rdquo; - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.
</li><li>Cross Platform Collaboration - You will use your understanding of customers&rsquo; use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
</li><li>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer&rsquo;s implement best practices with D360.
</li></ul>Key Requirements
<ul><li>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
</li><li>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
</li><li>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
</li><li>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
</li><li>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
</li><li>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
</li><li>Fluency in Arabic &amp; English
</li></ul>Preferred Requirements
<ul><li>Implementation or Sales Experience in Salesforce D360 and Agentforce
</li><li>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds
</li><li>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
</li><li>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
</li><li>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
</li><li>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
</li><li>Familiarity with data activation or &quot;reverse ETL&quot; platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.
</li><li>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data & AI Architect - KSA

MOZN

<div>
 
 About MOZN
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Senior SEO, Organic Growth &amp; Website Experience Specialist will own MOZN&rsquo;s organic growth strategy, website performance, technical SEO, content optimization, and AI search visibility. The role is directly accountable for increasing organic traffic, organic-sourced pipeline, website conversion rates, and overall digital presence across MOZN&rsquo;s product portfolio.
 
 
 
 What You'll Do
 
 
 
 
 
 SEO &amp; Organic Growth
 
 
 
 
 <ul>
 <li>
 Develop and execute SEO strategies aligned to pipeline and revenue objectives.
 </li>
 <li>
 Own organic traffic, keyword rankings, search visibility, and organic lead generation.
 </li>
 <li>
 Build SEO roadmaps across products, industries, and target markets.
 </li>
 <li>
 Conduct competitor and search opportunity analysis.
 
 
 </li>
 </ul>
 
 
 Technical SEO
 
 
 
 
 <ul>
 <li>
 Conduct technical audits and implement improvements.
 </li>
 <li>
 Optimize site architecture, crawlability, indexation, Core Web Vitals, page speed, and mobile performance.
 </li>
 <li>
 Manage structured data, schema markup, redirects, XML sitemaps, and canonicalization.
 
 
 </li>
 </ul>
 
 Website Management &amp; Experience
 
 
 
 <ul>
 <li>
 Own overall website health and performance.
 </li>
 <li>
 Partner with developers to implement enhancements and resolve issues.
 </li>
 <li>
 Improve user journeys, navigation, engagement, and conversion paths.
 </li>
 <li>
 Manage landing page optimization and website experimentation.
 
 
 </li>
 </ul>
 
 
 Content &amp; Organic Visibility
 
 
 
 
 <ul>
 <li>
 Partner with content teams to build SEO-driven content strategies.
 </li>
 <li>
 Create topic clusters, content briefs, and keyword frameworks.
 </li>
 <li>
 Optimize blogs, solution pages, product pages, and resource centers.
 </li>
 <li>
 Improve multilingual search performance across English and Arabic content.
 
 
 </li>
 </ul>
 
 
 AI Search Optimization
 
 
 
 
 <ul>
 <li>
 Optimize MOZN's visibility across AI-powered search platforms including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
 </li>
 <li>
 Develop strategies to improve citation frequency, authority, and discoverability within AI-generated responses.
 </li>
 <li>
 Monitor emerging AI search trends and adapt SEO strategies accordingly.
 
 
 </li>
 </ul>
 
 
 Analytics &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Track and report on organic traffic, rankings, backlinks, website engagement, MQLs, opportunities, pipeline, and revenue influence.
 </li>
 <li>
 Deliver monthly performance reports with actionable recommendations.
 
 
 </li>
 </ul>
 
 
 Authority Building
 
 
 
 
 <ul>
 <li>
 Develop backlink acquisition strategies.
 </li>
 <li>
 Drive thought leadership, PR, guest posting, and digital authority initiatives.
 </li>
 <li>
 Webinar and CRM Capabilities
 
 
 </li>
 </ul>
 
 
 Tools &amp; Platforms
 
 
 
 
 <ul>
 <li>
 Google Analytics 4 (GA4)
 </li>
 <li>
 Google Search Console
 </li>
 <li>
 SEMrush
 </li>
 <li>
 Ahrefs
 </li>
 <li>
 Screaming Frog
 </li>
 <li>
 Google Tag Manager
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 HubSpot
 </li>
 <li>
 Microsoft Clarity
 </li>
 <li>
 WordPress / Headless CMS Platforms
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5&ndash;8 years of SEO, organic growth, or website optimization experience.
 </li>
 <li>
 Experience within B2B SaaS, AI, enterprise software, fintech, cybersecurity, or technology sectors.
 </li>
 <li>
 Strong technical SEO expertise.
 </li>
 <li>
 Strong understanding of website UX, CRO, and digital analytics.
 </li>
 <li>
 Experience working with developers, content teams, and demand generation teams.
 </li>
 <li>
 Experience managing multilingual SEO programs
 </li>
 <li>
 Data-driven and commercially minded.
 </li>
 <li>
 Understands the connection between SEO, pipeline, and revenue.
 </li>
 <li>
 Strong technical and analytical capabilities.
 </li>
 <li>
 Comfortable operating independently and influencing stakeholders.
 </li>
 <li>
 Passionate about AI, search innovation, and growth marketing
 </li>
 <li>
 Proficient in English and Arabic
 
 
 </li>
 </ul>
 
 
 Success Metrics
 
 
 
 
 <ul>
 <li>
 Organic Traffic Growth
 </li>
 <li>
 Non-Branded Keyword Rankings
 </li>
 <li>
 Top 3 Keyword Growth
 </li>
 <li>
 Share of Voice vs Competitors
 </li>
 <li>
 Organic MQL Generation
 </li>
 <li>
 Organic Pipeline Contribution
 </li>
 <li>
 Marketing-Sourced Revenue Contribution
 </li>
 <li>
 Website Conversion Rate
 </li>
 <li>
 Bounce Rate Reduction
 </li>
 <li>
 Core Web Vitals Performance
 </li>
 <li>
 Backlink Growth &amp; Domain Authority
 </li>
 <li>
 AI Search Visibility &amp; Citation Growth
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Be part of one of the fastest-growing AI companies in the Middle East during a pivotal moment for the region&rsquo;s digital transformation.
 </li>
 <li>
 Work on cutting-edge AI products with real impact in financial crime prevention and regulatory compliance.
 </li>
 <li>
 Enjoy an ownership-driven culture with autonomy, trust, and significant room for growth.
 </li>
 <li>
 Competitive compensation, premium health insurance, and a supportive, high-performance environment.
 </li>
 <li>
 Collaborate with world-class AI scientists, engineers, and industry experts.
 </li>
 <li>
 An inclusive culture that values diversity, innovation, and empowering people to reach their full potential.
 </li>
 </ul>
</div>

Senior SEO, Organic Growth & Website Experience Specialist

<div>Job Summary
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul> 

Requirements 
 
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

<div>Company Description 
Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.
Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.
In the Middle East, Sia provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.
Why join the Sia Village?
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. 
Job Description 
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.
We are looking for individuals with the following experience:
Lead delivery projects with our clients on a wide range of topics:<ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul>
In addition, we are seeking technical experience across all or some of the below:<ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul> 

Qualifications 
To excel in this role, you should possess:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul> 

Additional Information 
Joining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.
What a career at Sia offer you?<ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul>
Our Commitment to Diversity
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.
To learn more about our mission, values, and business sectors, please visit our website.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

[KSA] Data & AI – Senior Consultant / Associate Manager

Ericsson

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About this opportunity: 
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.
Key Responsibilities<ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</div></div><div><div><h2 class="jobSectionHeader">
Join our Team</h2></div><div> 
What you will do:<ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul> 
The skills you bring:<ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div>
Why join Ericsson?At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. 
Primary country and city: Saudi Arabia (SA) ||
Req ID: 785347</div>

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