head of data science

Global Green Growth Institute

<div>
 
 Location:
 
 Oman
 
 
 City:
 
 Salalah
 
 
 Contract Type:
 
 Staff
 
 
 Grade:
 
 G7
 
 
 Salary scale:
 
 Country Scale
 
 
 End date of appointment
 
 
 24 months
 
 
 Deadline:
 
 11/08/2026
 
 
 Job Reference:
 
 New-RP26-46
 
 
 
 Please note that the deadline is based on Korean Standard Time Zone (KST, UTC+9)
 
 
 
 INTRODUCTION TO GGGI
 
 
 The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page.
 
 
 In the Sultanate of Oman, GGGI has partnered with the Government through the leadership of the Environment Authority (EA) to develop the "Accelerating Resilience and Innovation for Sustainable Ecosystems management" (ARISE) Program. The ARISE Program is a USD 100 million initiative spanning six years, designed to deliver climate action, ecosystem restoration, and economic growth through Nature-based Solutions (NbS) integrated into the Bioeconomy and Sustainable Special Economic Zones (SSEZs). The program ultimately targets the restoration of 30,000 hectares of land, an estimated 750,000 tCO2e/year in greenhouse gas emission reductions, and the creation of over 1,000 green jobs. The implementation of the ARISE Program is structured around two phases. Phase 1 will cover 2 years, and Phase 2 will be over 4 years. The funding has been approved for Phase 1.
 
 
 
 Position Summary
 
 
 
 Based in Salalah, in Dhofar Governorate, Oman, the Senior Associate, Data Analytics &ndash; Data Collection Mechanism (&ldquo;Senior Associate&rdquo;) supports the implementation and operation of the data process is a foundational technical role responsible for designing, building, and operationalizing the data infrastructure that underpins the entire ARISE Program's evidence base. Reporting to the ARISE Program Lead and working in close coordination with the MEL &amp; Data Officer, this position contributes to maintaining a reliable and centralized data repository to support monitoring, reporting, and program decision-making.
 
 
 This role focuses on supporting data management processes &mdash; including assisting with data collection workflows, maintaining data pipelines, integrating multiple data sources (field surveys, GIS, GHG inventories, socio-economic datasets), and supporting data quality and consistency. The Senior Associate works closely with the MEL &amp; Data Officer to support how data is collected, stored, processed, and made accessible for program use.
 
 
 PURPOSE
 
 
 <ul>
 <li>
 Support the implement and operation of the ARISE Program's Data Collection Mechanism (DCM), contributing to centralized, quality-controlled data repository that serves all three program pillars
 </li>
 <li>
 Assist in maintaining data pipelines that ingest field survey data, remote sensing/GIS outputs, GHG emissions data, and socio-economic indicators from multiple sources.
 </li>
 <li>
 Support data quality protocols, including validation chekcs, and audit trails to ensure the integrity and traceability of all program data from source to report.
 </li>
 <li>
 Assist in developing and maintaining interactive data dashboards and visualizations for the Program Steering Committee (PSC), Program Management Committee (PMC), and M&amp;E reporting requirements.
 </li>
 <li>
 Support collaborate with government stakeholders (Environment Authority, NCSI, Oman Zero Carbon Center) to align the DCM with national data standards, MRV frameworks, and the national GHG inventory.
 </li>
 <li>
 Coordinate with internal teamsto ensure that data collection, validation, and reporting process are aligned with program requirements
 </li>
 <li>
 Support engagement with Omani government stakeholders,including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Dhofar Municipality, to negotiate data-sharing agreements and align data collection protocols with national systems.
 </li>
 <li>
 Liaise with academic and research institutionsincluding the Dhofar University Biodiversity Research Center (BRC), to integrate third-party data streams and validate field data.
 </li>
 <li>
 Collaborate with the Regional MEL Senior Officer (MENA) to align the DCM with GGGI's organizational data standards, PCM guidelines, and GHG accounting methodologies.
 
 
 </li>
 </ul>
 ENGAGEMENT
 
 
 <ul>
 <li>
 Coordinate with internal teams to ensure that data collection, validation, and reporting process are aligned with program requirements
 </li>
 <li>
 Support engagement with Omani government stakeholders, including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Dhofar Municipality, to negotiate data-sharing agreements and align data collection protocols with national systems.
 </li>
 <li>
 Liaise with academic and research institution sincluding the Dhofar University Biodiversity Research Center (BRC), to integrate third-party data streams and validate field data.
 </li>
 <li>
 Collaborate with the Regional MEL Senior Officer (MENA) to align the DCM with GGGI's organizational data standards, PCM guidelines, and GHG accounting methodologies.
 
 
 </li>
 </ul>
 DELIVERY
 
 
 <ul>
 <li>
 Support the setup and ongoing operation of the ARISE Data Collection Mechanism (DCM) , including assisting with data structure organization, , database updates, , and access supports.
 </li>
 <li>
 Assist in coordinating data-sharing arrangement with key data-providing institutions (government agencies, research centers, line ministries) to support access to secondary data sources.
 </li>
 <li>
 Supporting the maintenance of a centralized data repository that integrates: (a) primary field survey data from KAP studies and ecological assessments, (b) secondary data from government records and national statistics, (c) GIS spatial data layers, (d) GHG emissions data, and (e) socio-economic indicators.
 </li>
 <li>
 Support data quality assurance processes, including validation rules, outlier detection, missing data handling, and version control, ensuring that all data entering the repository is documented and traceable.
 </li>
 <li>
 Support the development and updating of data dashboards (using Power BI, Tableau, or equivalent) to provide real-time visibility into program performance indicators for internal and reporting purposes.
 </li>
 <li>
 Support the MEL &amp; Data Officer in producing program reports, including Annual End-Of-Year-Results (EOYR) reports, donor progress reports, and impact case studies, by preparing cleaned and organized datasets.
 </li>
 <li>
 Maintain document all DCM processes, including data dictionaries, workflow, and standard operating procedures (SOPs) to support continuity and knowledge transfer.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 Bachelor's degree (Master's preferred) in data science, statistics, computer science, information management, environmental science, or a related quantitative field.
 </li>
 <li>
 Preffered at least 5 years of professional experience in data management, database design, data engineering, or data analysis for international development, climate, or environmental projects.
 
 
 </li>
 </ul>
 FUNCTIONAL
 
 
 <ul>
 <li>
 Experience supporting data collection, validation, organization, and reporting processes within development, climate, or environmental programs is desirable
 </li>
 <li>
 Demonstrated proficiency in at least one programming language for data analysis (Python, R) and experience with SQL for database querying and management.
 </li>
 <li>
 Experience designing and implementing ETL pipelines and working with data integration tools.
 </li>
 <li>
 Proven experience with data visualization tools (Power BI, Tableau, or similar) and dashboard development.
 </li>
 <li>
 Experience working with GIS data and spatial analysis tools (QGIS, ArcGIS, or Python/R spatial libraries) is highly desirable.
 </li>
 <li>
 Excellent written and verbal communication skills in English are required. Working proficiency in Arabic is highly desirable for stakeholder engagement in Dhofar.
 </li>
 <li>
 Good understanding of data management concepts, including data organization, validation, quality control, and reporting support.
 </li>
 <li>
 Ability to support data collection mechanisms and maintain datasets in line with established program requirements.
 </li>
 <li>
 Ability to coordinate with internal teams and external stakeholders to support data collection, validation, and information sharing.
 </li>
 <li>
 Strong attention to detail, ensuring data accuracy, completeness, and consistency across datasets.
 </li>
 <li>
 Good organizational and time management skills, with the ability to manage multiple tasks within defined timelines.
 </li>
 <li>
 Solid analytical and problem-solving skills, with the ability to identify data issues and support practical solutions.
 </li>
 <li>
 Ability to prepare clear datasets, basic reports, and data visualizations to support program monitoring.
 </li>
 <li>
 Good documentation skills, including maintaining data dictionaries and standard operating procedures (SOPs)
 
 
 </li>
 </ul>
 CORPORATE
 
 
 <ul>
 <li>
 Understand and actively support GGGI's mission, vision and values.
 </li>
 <li>
 Promote an organizational culture of trust, transparency, respect and partnership.
 </li>
 <li>
 Excel at problem solving, ask questions and seek support when needed, share information and knowledge with others both internally and externally.
 </li>
 <li>
 Manage emotions and stress positively, build rapport and resolve conflict easily.
 </li>
 <li>
 Strong ability to work independently and/or remotely, while maintaining productivity.
 
 
 </li>
 </ul>
 WORKING CONDITIONS
 
 
 The Senior Associate, Data Analytics &ndash; DCM is an G7NAT grade level in GGGI's national salary scale, details of which can be found in the GGGI Staff Rules on GGGI's website. In addition, GGGI provides 27 days of annual leave, flexible work arrangements and contribution towards private health insurance that covers dental and vision. The appointment is for 24 months, renewable subject to satisfactory performance and budget availability.
 
 
 GGGI is committed to providing a work environment that is sufficiently flexible to accommodate diverse life-cycle challenges and assist Staff members to achieve a better balance between work commitments and personal and family commitments, thus ensuring high performance, long-term productivity and well-being of Staff members.
 
 
 For more information on GGGI's terms and conditions (allowances, health care, education etc.) please familiarize yourself with GGGI's Rules and Regulations at: https://gggi.org/policy-documents/
 
 
 Child protection &ndash; GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI's Child Protection Policy is written in accordance with the Convention on the Rights of the Child.
 
 
 
 
 Child protection &ndash; GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI&rsquo;s Child Protection Policy is written in accordance with the Convention on the Rights of the Child.
 
 
</div>

Senior Associate, Data Analytics - Data collection Mechanism

SWISS CORNER

URGENT HIRING!!Position: Female Sales Executive &ndash; Luxury WatchesLocation: Salalah, Oman Employment Type: Full-Time / PermanentAbout the RoleWe are looking for a passionate and customer-oriented Female Sales Executive (Native Arabic Speaker) to join our luxury watch retail team in Salalah Grand MallAs a Sales Executive, you will be the face of our brand and interact directly with customers every day. We believe in building relationships, understanding customer preferences, and providing a personalized shopping experience. Every customer who visits our store is valuable, whether they are making a purchase or exploring our collections.Key Responsibilities:<ul><li>Welcome and engage customers in a professional and friendly manner.</li><li>Understand customer needs and recommend suitable watch models based on their preferences.</li><li>Provide detailed product knowledge, including watch features, collections, pricing, and brand information.</li><li>Achieve and exceed individual and store sales targets.</li><li>Deliver excellent customer service and build long-term customer relationships.</li><li>Promote additional products through effective upselling techniques.</li><li>Maintain proper stock levels and ensure attractive product displays.</li><li>Handle sales transactions, billing, returns, and exchanges according to company policies.</li><li>Maintain accurate sales records and prepare weekly/monthly sales reports.</li></ul>Job Requirements:<ul><li>Female candidate, preferably a Native Arabic Speaker.</li><li>Minimum 2 years of retail sales experience, preferably in luxury watches, jewelry, fashion, or premium brands.</li><li>Fluent in Arabic and English (both written and spoken).</li><li>Excellent communication, negotiation, and interpersonal skills.</li><li>Strong customer service mindset with a target-driven attitude.</li><li>Presentable, confident, and professional appearance.</li><li>Basic knowledge of POS systems and sales reporting.</li><li>Ability to work in a fast-paced retail environment.</li></ul>What We Offer:<ul><li>Competitive salary package.</li><li>Sales incentives/commission based on performance.</li><li>Career growth opportunities in the luxury retail industry.</li></ul>Interested candidates are invited to send their CV with a recent photo to sales@maisondeprince.comWork Location: In person

URGENT HIRING!! Female Sales Executive – Luxury Watches for SALALAH

Explore 2+ Head of data science in Salalah this August. Find roles across top companies and apply now to boost your career.

2 head of data science jobs In Salalah

Senior Associate, Data Analytics - Data collection Mechanism

URGENT HIRING!! Female Sales Executive – Luxury Watches for SALALAH