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capabilities & insights analytics analyst - healthcare Jobs in Riyadh

capabilities insights analytics analyst healthcare

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 <br/>
 <br/>
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 <br/>
 <br/>
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 <br/>
 <br/>
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 <br/>
 <br/>
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
  </li>
  <li>
   3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
  </li>
  <li>
   Solid understanding and application of Programming in Python and/or R
  </li>
  <li>
   Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
  </li>
  <li>
   Familiarity with SQL and data querying from relational databases or cloud-based environments
  </li>
  <li>
   Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
  </li>
  <li>
   Excellent problem-solving skills, particularly in analytical and quantitative areas
  </li>
  <li>
   Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
  </li>
  <li>
   Willingness and ability to travel to client and McKinsey locations within and outside the country
  </li>
  <li>
   Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  </li>
  <li>
   Excellent written and verbal communication skills in Arabic and English
  </li>
 </ul>
</div>


Capabilities & Insights Analytics Analyst - Healthcare

<div><div><div><div><div><div><div>Job ID: 98254</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.</p><p></p><p>
You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.</p><p></p><p>
As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.</p><p></p><p>
In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.</p><p></p><p>
We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology</p><p>
3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)</p><p>
Solid understanding and application of Programming in Python and/or R</p><p>
Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)</p><p>
Familiarity with SQL and data querying from relational databases or cloud-based environments</p><p>
Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR</p><p>
Excellent problem-solving skills, particularly in analytical and quantitative areas</p><p>
Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently</p><p>
Willingness and ability to travel to client and McKinsey locations within and outside the country</p><p>
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization</p><p>
Excellent written and verbal communication skills in Arabic and English</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Qiddiya Investment Company

<div><p><b>Director &ndash; Revenue Cycle Management (Healthcare Industry Exp)</b></p><p></p><p><b>
General Job Information</b></p><ul><li><b>
Job Title:</b> Director, Revenue Cycle Management
</li><li><b>Department:</b> Finance
</li><li><b>Reporting Line:</b> TBC</li><li><b>
Location:</b> King Faisal Specialized Hospital / Riyadh, KSA</li><li><b>
Job Grade:</b> TBC</li></ul><p></p><p><b>
Role Summary</b></p><p>
The Revenue Cycle Director leads the enterprise-wide revenue cycle function across the Medical City ecosystem, driving revenue optimization, operational efficiency, payer strategy, and compliance. The role ensures full integration between clinical, operational, and financial processes to maximize revenue realization.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
1. Enterprise Revenue Strategy &amp; Value Optimization</b></p><ul><li>
Define and execute the enterprise-wide revenue cycle strategy across all Medical City assets
</li><li>Lead pricing strategy, service monetization, and payer mix optimization initiatives
</li><li>Identify and implement new revenue models including bundled care, subscription-based services, and value-based reimbursement
</li></ul><p><b>2. Integrated Revenue Operations Leadership</b></p><ul><li>
Establish a fully integrated, standardized revenue cycle model across hospitals, clinics, sports medicine, and wellness services
</li><li>Oversee patient access, eligibility verification, coding, billing, claims processing, collections, and denials management
</li><li>Ensure seamless coordination between clinical, administrative, and finance functions to optimize revenue capture
</li></ul><p><b>3. Financial Performance Ownership &amp; Forecasting</b></p><ul><li>
Own revenue forecasting, budgeting inputs, and financial planning related to revenue streams
</li><li>Analyze performance trends including denials, write-offs, underpayments, and collection efficiency
</li><li>Lead performance reviews and present insights to executive leadership
</li></ul><p><b>4. Payer Strategy, Contracting &amp; Market Positioning</b></p><ul><li>
Lead payer negotiations and contract structuring in collaboration with finance and leadership
</li><li>Monitor payer performance, reimbursement structures, and compliance requirements
</li><li>Develop strategies to enhance competitive positioning within the payer ecosystem
</li></ul><p><b>5. Digital Transformation &amp; Data-Driven Excellence</b></p><ul><li>
Lead implementation of advanced RCM systems, automation tools, and analytics platforms
</li><li>Develop real-time dashboards and predictive analytics capabilities
</li><li>Drive continuous innovation in revenue cycle processes
</li></ul><p><b>6. Governance, Compliance &amp; Risk Management</b></p><ul><li>
Ensure adherence to coding standards, regulatory requirements, and billing compliance
</li><li>Establish internal controls to mitigate financial and compliance risks
</li><li>Lead audit readiness and response for internal and external audits
</li></ul><p><b>7. Leadership &amp; Organizational Development</b></p><ul><li>
Build and lead a high-performing revenue cycle team
</li><li>Develop internal capabilities in coding, billing, analytics, and payer management
</li><li>Foster a culture of accountability, performance, and continuous improvement
</li></ul><p></p><p><b>Key Performance Matrix</b></p><ul><li>
Improve revenue realization and overall collection efficiency across all services
</li><li>Reduce AR days and improve cash flow performance
</li><li>Maintain denial rates below benchmarks through effective processes
</li><li>Minimize revenue leakage through strong controls and audit mechanisms
</li><li>Enhance efficiency and turnaround time across the full revenue cycle
</li></ul><p></p><p><b>Qualifications</b></p><ul><li>
Bachelor&rsquo;s in Finance, Accounting, or Healthcare Administration
</li><li>12&ndash;15+ years in healthcare RCM
</li></ul><p></p><p><b>Core Competencies</b></p><ul><li>
Revenue Strategy
</li><li>Healthcare Finance
</li><li>Payer Management
</li><li>Data Analytics
</li><li>Leadership</li></ul></div>

Director - Revenue Cycle Management (Healthcare Industry Exp) - QHC0005

Torry Harris Integration Solutions

<div>
 <p>
  <strong>
   Designation: Business Analyst
  </strong>
 </p>
 <p>
  <strong>
   Location: Saudi Arabia (Riyadh)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Role Purpose
   </u>
  </strong>
 </p>
 <p>
  The Business Analyst (BA) will play a critical role in enabling enterprise modernization and digital transformation initiatives. The role focuses on studying existing customer journeys, business processes, applications, infrastructure, and IT systems, and translating business priorities into a structured modernization roadmap. The BA will act as a bridge between business stakeholders and IT leadership, ensuring alignment with strategic drivers, regulatory needs, and operational pain points.
 </p>
 <p>
  The BA will act as a
  <strong>
   bridge between business, operations, compliance, and technology
  </strong>
  , ensuring that digital initiatives are
  <strong>
   business-led, value-driven, and aligned with Saudi regulatory and Vision 2030 objectives
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Objectives
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Analyze current-state customer journeys, business processes, and IT systems
  </li>
  <li>
   Identify pain points, inefficiencies, and technology constraints
  </li>
  <li>
   Define future-state journeys and capabilities aligned with business strategy
  </li>
  <li>
   Develop a prioritized, business-driven modernization and digital transformation roadmap.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Business &amp; Customer Journey Analysis
  </strong>
 </p>
 <ul>
  <li>
   Conduct detailed analysis of customer journeys across digital and non-digital channels
  </li>
  <li>
   Document current-state (&ldquo;as-is&rdquo;) and future-state (&ldquo;to-be&rdquo;) customer journeys
  </li>
  <li>
   Identify friction points related to performance, availability, usability, and data access
  </li>
  <li>
   Align customer journey improvements with business outcomes such as efficiency, scalability, and customer experience
  </li>
 </ul>
 <p>
  <strong>
   Process &amp; Capability Assessment
  </strong>
 </p>
 <ul>
  <li>
   Analyze end-to-end business processes supporting portfolio management, trading, client relationship management, and digital engagement
  </li>
  <li>
   Identify process gaps caused by system limitations, manual workarounds, or lack of integration
  </li>
  <li>
   Define required business and IT capabilities to support future operating models
  </li>
 </ul>
 <p>
  <strong>
   Digital &amp; Modernization Roadmap
  </strong>
 </p>
 <ul>
  <li>
   Define a phased modernization roadmap aligned to:
  </li>
  <li>
   Business priorities and strategic initiatives
  </li>
  <li>
   Performance and scalability improvement
  </li>
  <li>
   Governance and analytics enablement
  </li>
  <li>
   Support prioritization based on business value, risk, complexity, and dependency analysis
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Engagement &amp; Alignment
  </strong>
 </p>
 <ul>
  <li>
   Work closely with business stakeholders, operations teams, and IT leadership
  </li>
  <li>
   Facilitate workshops, interviews, and working sessions to capture requirements and priorities
  </li>
  <li>
   Translate business needs into clear, actionable requirements and transformation themes
  </li>
  <li>
   Ensure alignment between strategic drivers, regulatory needs, and technology initiatives
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Deliverables
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Customer Journey Maps (As-Is and To-Be)
  </li>
  <li>
   Business Process Models and Capability Maps
  </li>
  <li>
   Pain Point and Gap Analysis Reports
  </li>
  <li>
   Business-Aligned Modernization &amp; Digital Transformation Roadmap
  </li>
  <li>
   High-level requirements and initiative definitions for downstream delivery teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Required Skills &amp; Experience
   </u>
  </strong>
 </p>
 <p>
  <strong>
   <u>
    Core Skills
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Strong experience as a Business Analyst in digital transformation or IT modernization initiatives
  </li>
  <li>
   Proven ability to map customer journeys, business processes, and IT landscapes
  </li>
  <li>
   Experience working with senior business stakeholders and IT leaders
  </li>
  <li>
   Strong analytical, facilitation, and documentation skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Soft Skills
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Strong communication and stakeholder management capabilities
  </li>
  <li>
   Ability to operate in ambiguous environments and structure complex problems
  </li>
  <li>
   Business-first mindset with strong technology appreciation
  </li>
  <li>
   Collaborative, facilitative, and outcome-oriented approach
  </li>
 </ul>
</div>


Business Analyst

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 <br/>
 <br/>
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
  </li>
  <li>
   Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
  </li>
  <li>
   Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
  </li>
  <li>
   Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
  <br/>
  <br/>
 </strong>
 <strong>
  Because alone, we go faster &ndash; but together, we go further.
  <br/>
  <br/>
 </strong>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Unit:
  <br/>
  <br/>
 </strong>
 Data &amp; Intelligence
 <br/>
 <br/>
 <strong>
  Level:
  <br/>
  <br/>
 </strong>
 Senior to Managerial -level
 <br/>
 <br/>
 To know more about us, please visit: www.devoteam.com
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.
 <br/>
 <br/>
 <strong>
  Technical and Analytical Capabilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling.
  </li>
  <li>
   Proficiency with Data Querying: SQL for data retrieval and manipulation.
  </li>
  <li>
   Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards.
  </li>
  <li>
   Analytical Programming: Familiarity with Python or R for exploratory analysis.
  </li>
  <li>
   Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation.
  </li>
  <li>
   Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business-Oriented Capabilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts.
  </li>
  <li>
   Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks.
  </li>
  <li>
   Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication and Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives).
  </li>
  <li>
   Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights.
  </li>
  <li>
   Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.
 <br/>
 <br/>
 <strong>
  Project and Task Management:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights.
  </li>
  <li>
   Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations.
  </li>
  <li>
   Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   One core certification (CCBA, CAP, or PMI-PBA)
  </li>
  <li>
   One data visualization certification (Tableau or Power BI)
  </li>
  <li>
   One complementary certification (optional but preferred)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Level: Mid-senior Level
 <br/>
 <br/>
 Business Unit: Data Intelegince
</div>


Business Data Analyst

Projecttech

<div><div><div><div><p><b>Location:</b> Riyadh, Saudi Arabia
<br>
<b>Industry:</b> Agro-food sector
<br>
<b>Employment Status:</b> Valid Iqama required</p>
<p><b>Availability:</b> ASAP</p>
<p><b>Role Overview</b></p>
<p>We are seeking a <b>Senior Digital Supply Chain Manager</b> to lead and drive digital transformation initiatives across a specialty food supply chain.
<br>
The role is focused on <b>systems architecture, data quality, advanced analytics, and decision-support tools</b>, with the objective of improving planning accuracy, operational performance, and end-to-end supply chain visibility.</p>
<p>This position requires a strong combination of <b>supply chain expertise, digital capabilities, and business-oriented leadership</b>.</p>
<p><b>Key Responsibilities</b></p>
<p><b>Digital Solutions &amp; Systems</b></p>
<ul><li>Design, deploy, and continuously improve <b>digital supply chain solutions</b> aligned with business objectives.</li>
<li>Identify, evaluate, and implement appropriate <b>systems, tools, and technologies</b> (ERP, APS, analytics platforms).</li>
<li>Act as a bridge between business needs and technical solutions.</li>
</ul><p><b>Data Management &amp; Governance</b></p>
<ul><li>Lead <b>master data cleaning, structuring, and governance</b> across supply chain systems.</li>
<li>Ensure data accuracy, consistency, and reliability to support decision-making.</li>
<li>Define data standards and best practices in collaboration with stakeholders.</li>
</ul><p><b>Analytics &amp; Decision Support</b></p>
<ul><li>Develop and maintain <b>KPI dashboards and performance reports</b> using <b>Power BI</b>.</li>
<li>Apply <b>advanced analytics and AI-driven insights</b> to enhance demand planning, supply planning, and operational execution.</li>
<li>Translate complex data into actionable insights for senior management.</li>
</ul><p><b>Business Collaboration &amp; Continuous Improvement</b></p>
<ul><li>Work closely with <b>supply chain, operations, planning, and IT teams</b> to capture requirements and deliver value-driven solutions.</li>
<li>Support <b>automation, digitalization, and continuous improvement initiatives</b> across the supply chain.</li>
<li>Promote a data-driven culture and support change management efforts.</li>
</ul><p><b>Required Qualifications</b></p>
<ul><li><b>10&ndash;15 years of experience</b> in <b>supply chain systems, digital transformation, or supply chain analytics</b>.</li>
<li>Strong expertise in <b>Power BI</b>, data modeling, and analytics.</li>
<li>Proven experience with <b>ERP, APS, and/or supply chain planning systems</b>.</li>
<li>Background in <b>food or FMCG supply chains</b> is highly preferred.</li>
<li>Strong <b>problem-solving, analytical, and communication</b></li>
<li>Ability to operate at both strategic and hands-on levels in a complex environment.</li>
<li>Fluency in English; Arabic proficiency is an advantage.</li>
</ul><p><b>Key Competencies</b></p>
<ul><li>Digital supply chain transformation</li>
<li>Data governance and analytics leadership</li>
<li>Business-to-technology translation</li>
<li>Strategic thinking and execution</li>
<li>Cross-functional collaboration</li>
<li>Continuous improvement and automation mindset</li>
</ul></div><div><div><div><div><b>Job Category: </b>Agro-food
</div><div><b>Job Type: </b>Management
</div><div><b>Job Location: </b>Riyadh Saudi Arabia</div></div></div></div></div></div></div><p></p>

Senior Digital Supply Chain Manager (J26-012)

MA'ADEN

<div><p><b>Job Purpose
</b></p><ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow<br>
</div></li></ul><p></p><p><b>Key Accountabilities:
</b></p><p><b>1. Lead End-to-End Data Science Delivery
</b></p><ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement.<br>
</div></li></ul><div></div><p><b>2. Translate Business Needs into AI/Analytics Solutions
</b></p><ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.<br>
</div></li></ul><p></p><p><b>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
</b></p><ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements<br>
<li>
</li></ul><p></p><p><b>4. Responsible AI, Quality &amp; Governance
</b></p><ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments<br>
<li>
</li></ul><p></p><p><b>5. Stakeholder Management &amp; Value Realization
</b></p><ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit.<br>
<li>
</li></ul><p></p><p><b>Minimum Qualification, Experience and Core Competencies:
</b></p><p><b>Minimum Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.<br>
</p></li></ul><p></p><p><b>Minimum Experience:<br>
</b><br>
<br>
</p><ul><li><div><b>Minimum Experience:
</b></div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.<br>
</div></li><li><br>
<b>Machine Learning &amp; Advanced Analytics
</b><ul><li>Hands-on experience developing and deploying <b>machine learning models </b>, including <b>time-series forecasting, predictive modeling, and optimization use cases
</b></li><li>Strong understanding of <b>model performance, validation, stability, and business impact
</b></li></ul></li><li><b>Generative AI &amp; AI Agents
</b><ul><li>Practical experience with <b>Generative AI solutions </b>, including <b>copilots, intelligent automation, and agent-based workflows
</b></li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
<br>
<br>
Good to Have Capabilities
</li></ul></li><li><b>Data Engineering (IT + OT)
</b><ul><li>Experience designing and maintaining <b>data pipelines </b>across IT and OT environments
</li><li>Exposure to <b>sensor data, streaming / real-time data processing </b>, and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li><b>MLOps / AgentOps
</b><ul><li>Experience in <b>model deployment and lifecycle management </b>, including:
<ul><li>Transition from model development to <b>production and scale
</b></li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
<br>
<br>
Preferred Experience &amp; Platforms
</li></ul></li><li><b>Cloud &amp; Analytics Platforms
</b><ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li><b>Microsoft Azure Data Platform
</b></li><li><b>Databricks AI Platform
</b></li><li><b>Microsoft AI Foundry / Microsoft AI Factory
</b></li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions<br>
<li>
</li></ul></li></ul><div></div><p><b>Core Competencies:
</b></p><ul><li><p><b>Model Accuracy &amp; Reliability: </b>Performance, drift stability, and operational uptime.
</p></li><li><p><b>Adoption &amp; Business Impact: </b>Value realized, user adoption, integration success.
</p></li><li><p><b>Delivery Velocity: </b>Timeliness of development cycles and deployment readiness.
</p></li><li><p><b>Compliance &amp; Quality: </b>Alignment with Responsible AI, governance, and documentation standards.</p></li></ul></div><p></p>

Principal Specialist, Data Science & Analytics

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