data analysis manager

Green Umbrella Recruitment

<div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/09/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>Minimum 10 years of experience
</div></div><div>Job Opening Status
<div>Open
</div></div><div>Industry
<div>Mining
</div></div><div>City
<div>Muscat
</div></div><div>State/Province
<div>Masqat
</div></div><div>Country
<div>Sultanate of Oman
</div></div><div>Zip/Postal Code
<div>0000</div></div></ul></div>
 <div>Position Overview 
The Data Analysis and Planning Manager is responsible for managing the exploration data ecosystem, including geological databases, data integration, quality control, and advanced exploration data analysis to support strategic exploration planning and decision-making. 
The role ensures that all exploration datasets&mdash;including geological, geochemical, geophysical, drilling, and remote sensing data&mdash;are captured, validated, integrated, and analyzed to generate high-quality insights that guide exploration targeting and project advancement. 
The position plays a key role in transforming exploration data into actionable intelligence, supporting both greenfields exploration and resource development activities.<div> 
 
</div>Key Responsibilities 
Exploration Data Management<ul><li> 
 Oversee the design, implementation, and maintenance of the corporate exploration database system.</li><li> 
 Ensure accurate capture, storage, validation, and integrity of all exploration datasets.</li><li> 
 Establish and enforce data governance protocols, QA/QC procedures, and database standards.</li><li> 
 Manage integration of multi-disciplinary datasets including:</li></ul> 
o Geological mapping 
o Drilling data 
o Geochemistry 
o Geophysics 
o Remote sensing 
o Structural data<ul><li> 
 Ensure proper documentation, metadata management, and version control of exploration data.</li></ul> 
Data Analysis &amp; Target Generation<ul><li> 
 Conduct advanced analysis of geological, geochemical, and geophysical datasets to identify exploration targets.</li><li> 
 Apply statistical, spatial, and machine-learning techniques where appropriate to support mineral prospectivity analysis.</li><li> 
 Generate integrated interpretation outputs including:</li></ul> 
o Prospectivity maps 
o Target ranking models 
o Geochemical anomaly analysis 
o Structural and alteration interpretation<ul><li> 
 Support multidisciplinary targeting workshops.</li></ul> 
Reporting and Visualization<ul><li> 
 Develop dashboards, maps, and analytical reports to support decision-making.</li><li> 
 Deliver clear visualizations of exploration results and targets to senior management.</li><li> 
 Support internal reporting and external technical reporting where required.</li></ul> 
Technology &amp; Systems Development<ul><li> 
 Evaluate and implement modern data management and analytics technologies.</li><li> 
 Improve workflows for data integration, automation, and analytics.</li><li> 
 Work with IT teams to maintain secure and scalable exploration data systems.</li></ul> 
Collaboration<ul><li> 
 Work closely with:</li></ul> 
o Exploration geologists 
o Resource geologists 
o GIS specialists 
o Geophysicists 
o Data scientists<ul><li> 
 Support data requirements for resource estimation and technical studies.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3>
Qualifications &amp; Experience<ul><li> 
 Bachelor&rsquo;s degree in Geology, Geological Engineering, Geo science, Geo informatics, Data Science or Earth Sciences (Master&rsquo;s preferred).</li><li> 
 Minimum 10 years of experience in:</li></ul> 
o Exploration database management 
o Geological data analysis 
o Mineral exploration data integration 
o Experience working with large multi-disciplinary exploration datasets.<ul><li> 
 Experience in base metals, precious metals, or critical minerals exploration preferred. 
</li></ul> 
Key Competencies<ul><li> 
 Exploration data integration</li><li> 
 Mineral productivity analysis</li><li> 
 Geospatial analytics</li><li> 
 Data governance and QA/QC</li><li> 
 Exploration program design support</li><li> 
 Analytical and strategic thinking</li><li> 
 Strong communication and visualization skills</li><li> 
 Ability to translate complex datasets into actionable insights</li><li> 
 Cross-functional collaboration</li><li> 
 Attention to detail and data integrity</li></ul> 
Key Deliverables<ul><li> 
 Fully functional and well-governed exploration database system</li><li> 
 High-quality exploration datasets ready for interpretation and reporting</li><li> 
 Prospective analysis and target generation outputs</li><li> 
 Data-driven insights supporting exploration planning and resource growth</li></ul></div>

Data Analysis & Planning Manager

Juhayna Food Industries

<div>
 
 
 Job Overview
 
 
 
 
 
 
 The Data Analytics &amp; AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
 
 
 
 
 
 
 Strategic Management
 
 
 
 
 
 <ul>
 <li>
 Lead Advanced analytics initiatives that support business performance and strategic goals.
 </li>
 <li>
 Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
 </li>
 <li>
 Gather and translate business requirements into analytical and AI- Driven solutions.
 </li>
 <li>
 Analyze internal and external factors that impact business performance.
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; AI Enablement
 
 
 
 
 
 <ul>
 <li>
 Develop and enhance advanced analytics solutions, including forecasting and predictive models.
 </li>
 <li>
 partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
 </li>
 <li>
 support automation of insights and reporting using intelligent analytics tools
 </li>
 <li>
 Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Insights
 
 
 
 
 
 <ul>
 <li>
 Oversee Development of dashboards and visualization that support business monitoring.
 </li>
 <li>
 Ensure KPIs and performance indicators are clearly defined and consistently tracked.
 </li>
 <li>
 Deliver monthly performance analysis reports with insights and improvement recommendations.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 
 
 
 <ul>
 <li>
 Act as a bridge between business teams, BI, and data science functions.
 </li>
 <li>
 Present insights and AI- Driven findings in a clear and business friendly manner.
 </li>
 <li>
 support leadership with scenario analysis and data backed recommendations.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 University degree in computer science, data analytics, information systems, business intelligence, or a related field.
 </li>
 <li>
 8-10 years of experience in analytics, business intelligence, or data roles.
 </li>
 <li>
 Experience working with analytics, predictive modeling, or AI initiatives.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Technical skills
 
 
 
 
 
 <ul>
 <li>
 Experience with business intelligence tools such as Power BI, SAC.
 </li>
 <li>
 Good knowledge of SQL and data analysis tools.
 </li>
 <li>
 Exposure to analytics and AI tools.
 </li>
 <li>
 Experience working with data models and structured dataset's
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 
 
 
 <ul>
 <li>
 Experience in FMCG, Food &amp; Beverages industry is a plus.
 </li>
 <li>
 Experience supporting forecasting, supply chain, or sales analytics initiatives.
 </li>
 <li>
 Experience working in Agile or project-based data environments.
 </li>
 </ul>
</div>

Manager - Data & Analytics

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - GenBI

Apple

Apple&rsquo;s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion. 
 
Description 
 
As the manager of the ISE Data Science team, you will lead and mentor a talented group of data scientists to understand customer engagement with Apple&rsquo;s products and features. You will oversee the team&rsquo;s efforts to collect, analyze, and interpret vast amounts of quantitative (telemetry) and qualitative (customer feedback) data to help improve Apple's products, inform strategic directions, and enhance the overall user experience. You will work closely with the Input Experience Analytics software engineering team to design and implement metrics for our software features, as well as the ISE User Studies team to establish a holistic picture of the user experience. 
 
The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;As a member of our dynamic team, you will have the unique and rewarding opportunity to influence the direction of upcoming products and features that will delight millions of Apple customers around the world every single day! Some of the work you will do includes: 
 
Synthesize quantitative and qualitative data from multiple sources across Apple and guide the data scientists to translate this data into actionable insights and business strategy, driving scalable, high-impact outcomes for iOS, iPadOS, and macOS features, including multi-platform Apple Intelligence features. 
 
Deliver accurate and timely data and business analytics to stakeholders in order to meet mission- and business-critical requests. 
 
Lead the development and implementation of robust monitoring, alerting, and health checking systems to ensure sustained data and machine learning model performance at scale. 
 
Through continuous process improvement, proactively seek ways to improve existing data pipelines, reduce data storage loads, and identify opportunities for feature performance improvements. 
 
Present and oversee communications of data analysis and insights to key stakeholders. Model and teach effective data storytelling, communicating compelling data-driven narratives without compromising analytical rigor. 
 
Partner with cross-functional leaders to align data and analytics initiatives with strategic objectives. 
 
Foster a data-informed culture by sharing data science best practices across Apple. Mentor and coach data scientists on technical best practices and professional development. 
 
Preferred Qualifications 
 
5+ years of management experience 
 
Experience working on consumer-facing products or shipping products 
 
Experience using AI tools for text or image creation and editing (e.g. ChatGPT, Gemini, Apple Intelligence), and/or AI models for data analysis, synthesis, or evaluation workflows 
 
Advanced degree in data science, engineering, or any related field of study 
 
Minimum Qualifications 
 
2+ years of experience managing or leading diverse teams of data scientists and/or software engineers and researchers 
 
Can lead teams in applying statistical analysis and inference, A/B experimentation and modeling (e.g. statistical, machine learning), to drive data-informed decisions, while maintaining hands-on proficiency in Python, SQL and Tableau 
 
Able to translate complex data into clear, actionable insights and recommendations for executive leadership and cross-functional stakeholders, ensuring alignment between technical findings and business objectives 
 
Organized, highly attentive to detail, and adaptable to rapidly changing requirements and environments&quot;,&quot;internalDetails&quot;:null 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

ML Data Science Manager, ISE Analytics and User Studies

Acelero, Inc.

<div>The Data Analysis Coordinator supports data quality, reporting, and basic analysis for one or more Acelero Learning delegates. This role helps translate centralized data systems into clear, accessible insights that local teams can use for planning, monitoring, and continuous improvement. The Coordinator works closely with the Delaware Vice President, local leadership teams, and the centralized Data and Performance function to maintain accurate data, prepare required reports, support dashboard usage, and ensure consistent data practices across the delegate.
Although embedded within the Delaware Delegate, the Coordinator aligns with Acelero&rsquo;s organizational data standards and contributes to a unified approach to data integrity and performance monitoring.
What You&rsquo;ll Do:<ul><li>
Review dashboard data and identify trends in enrollment, attendance, screenings, education, family engagement, and health.</li><li>
Prepare summaries, charts, and visualizations to support planning, team meetings, and decision-making.</li><li>
Monitor progress toward key performance indicators and flag areas needing follow-up.</li><li>
Respond to routine and ad hoc data requests from local leadership and service area teams.</li><li>
Support federal and internal reporting needs, including PIR, FMR, Self-Assessment, and CEEDS activities.</li><li>
Conduct data checks to ensure accuracy, completeness, and alignment with organizational data standards.</li><li>
Provide basic training and support to staff on dashboards, data tools, and interpreting indicators.</li><li>
Assist with implementation of new or updated data tools developed by the central Data &amp; Performance team.</li><li>
Document local data practices and help maintain consistency with data governance expectations.</li><li>
Collaborate with Monitoring, Compliance, and PIIS teams to integrate data into planning, coaching, and compliance routines.</li><li>
Participate in local leadership and planning meetings to ensure data is incorporated into decision-making.</li></ul>
What You Bring:<ul><li>
Bachelor&rsquo;s degree in data analytics, education policy, social sciences, business, or a related field</li><li>
Minimum of 1 to 2 years of experience in data analysis, program data coordination, reporting, or a similar role</li><li>
Experience with Google Sheets, Excel, and basic data visualization tools (Looker Studio, Tableau, or Power BI preferred)</li><li>
Experience working in education, Head Start, early childhood, or social services is a strong plus</li><li>
Ability to provide basic training and support on data use and dashboards</li><li>
Physical exam and background checks required</li><li>
Local or long-distance travel required for meetings and trainings</li><li>
Must have a valid driver&rsquo;s license and reliable transportation</li></ul>
When/Where/How Much:
When: May 2026
Where: Acelero Learning Delaware HQ
How Much: Up to $65,000 + Comprehensive Benefits Package
We are an equal opportunity employer, committed to creating a diverse and healthy workplace.</div>

Data Analysis Coordinator

MA'ADEN

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

Abdul Latif Jameel

<div>
 
 
 Who we are?
 
 
 
 
 
 
 Abdul Latif Jameel is a diversified business of independent entities that include automotive distribution, auto parts manufacturing, financial services, renewable energy, environmental services, health, land and real estate development, logistics, electronics retailing and media services.
 
 
 Established in 1945 Abdul Latif Jameel has dual headquarters in Jeddah, Saudi Arabia and Dubai, and currently has operations in 30 countries employing approximately 11,000 people from more than 40nationalities.
 
 
 The term Abdul Latif Jameel refers broadly to several distinct, separate and independent legal entities. It is not itself a corporate entity, association or conglomerate run by an overarching parent company but merely refers to a group of distinct and wholly separate legal entities that are collectively referred to as Abdul Latif Jameel.
 
 
 
 
 
 
 Main Job Responsibilities:
 
 
 
 Manage the collection and analysis of CRM data to support business decision-making.
 
 
 Identify trends and insights in customer data to inform marketing and sales strategies.
 
 
 Manage data integration projects to ensure consistency and accessibility of information across departments.
 
 
 Develop and enforce data quality standards to ensure accuracy and reliability of CRM data.
 
 
 Train team members on data analysis tools and techniques to enhance their analytical capabilities.
 
 
 Collaborate with IT department to maintain and upgrade CRM and analytics platforms.
 
 
 Report on data analytics findings and recommend actions to improve CRM effectiveness.
 
 
 
 
 
 
 Main Job Qualifications:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, or a related field. A Master&rsquo;s degree or advanced certification in analytics or data science is highly preferred
 </li>
 <li>
 Minimum of 5 years of experience in CRM, analytics, or a related field. Experience in the automotive industry is a significant advantage.
 </li>
 <li>
 Excellent communication skills, with the ability to articulate complex concepts to a non-technical audience.
 </li>
 <li>
 Knowledge of the Saudi Arabian market and consumer behavior is preferred.
 </li>
 <li>
 Proficiency in analytics and CRM software (e.g., Salesforce, Microsoft Dynamics), as well as data visualization tools (e.g., Tableau, Power BI)
 </li>
 </ol>
 
 
 
 
 
 The associate will work with a daily standard of (48) hours per week.
 
 
 
 
 The job posting will expire in 7 days - Apply while the opportunity lasts!
 
 
</div>

Data & Performance Analytics Manager

Search 10000+ Data analysis manager jobs near you this May. New roles added regularly across leading industries. Apply today.