Corporate ESG Data Specialist

NEOM OVERVIEW

NEOM is an accelerator of human progress and a vision of what a new future might look like. A region in northwest Saudi Arabia on the Red Sea, NEOM is being built from the ground up to include hyperconnected, cognitive cities, ports, next-generation infrastructure and industries, enterprise zones, research centers, sports and entertainment venues and tourist destinations.

As a destination, it will be a home for people who dream big and want to be part of building a new model for exceptional livability, creating thriving businesses and reinventing environmental conservation.

As a workplace, it is a place for people who share our core values of care, curiosity, diversity, passion, respect, and becoming a catalyst for change.

Are you ready to help NEOM find solutions to the world’s most pressing challenges? Are you prepared to create a lasting legacy that benefits generations to come? Then we want to hear from you!

ROLE OVERVIEW

The ESG Data Specialist will play a pivotal role in establishing and maintaining the integrity of our environmental, social, and governance (ESG) data as we build a truly sustainable future. This position will be instrumental in developing robust data management processes, ensuring data quality, and supporting our sustainability reporting and strategic decision-making for this ambitious project.

ROLE COMPETENCIES & ACTIVITIES

The ESG Data Specialist responsibilities will include, but not be limited to supporting management with the following:

Develop Data Catalogue and Data Management Processes

1. Identify key ESG metrics relevant to NEOM's unique development and operational landscape, clearly defining data ownership and associated responsibilities across various entities within the project.
2. For each identified metric, meticulously map data availability, sourcing systems (potentially including cutting-edge smart city technologies), data completeness, data quality parameters, and precise calculation methodologies.
3. Develop and implement a standardized and efficient process for the collection, consolidation, curation, rigorous analysis, and thorough validation of diverse ESG data points generated across NEOM's diverse initiatives.

Establish Data Quality Standards and Controls

1. Define and document clear guidelines and ambitious standards for maintaining the highest levels of ESG data quality and accuracy within the context of a smart and interconnected city.
2. Identify and establish requirements for valid and auditable supporting evidence for all reported data points, considering the innovative data collection methods within NEOM.
3. Develop and implement clear protocols outlining the frequency and methods for data and supporting evidence storage and capture, potentially leveraging advanced digital infrastructure.
4. Design and implement a practical and scalable model to operationalize the efficient and accurate input of ESG data from various interconnected systems and stakeholders.

Collect and Consolidate Sustainability Data

1. Implement the developed data input model to streamline the collection of ESG data from NEOM's diverse operations and initiatives.
2. Consolidate refined ESG data from various sources, potentially including real-time data streams from smart city technologies, into a centralized and manageable system.
3. Collect manual data and compelling qualitative success stories that highlight NEOM's commitment to sustainability and innovation.

Validate Sustainability Data

1. Thoroughly verify consolidated quantitative ESG data for accuracy, completeness, and consistency, ensuring alignment with NEOM's ambitious sustainability goals.
2. Critically review and validate consolidated qualitative data and success stories for authenticity, relevance, and impact within the context of NEOM's vision.
3. Scrutinize the overall ESG data landscape to ensure comprehensive data completeness and internal consistency across all reporting areas, contributing to a holistic view of NEOM's sustainability performance.

Finalize Data Management and Governance RACI:

1. Develop a comprehensive ESG data governance and management Responsibility Assignment Matrix (RACI) chart tailored to NEOM's organizational structure and collaborative environment.
2. Establish and maintain a consistent data taxonomy to effectively classify and organize all ESG-related data generated within the NEOM ecosystem.

Culture and Values

1. Embrace NEOM’s culture and Values https://www.neom.com/en-us/about
2. Act with honesty and integrity by following best practices, and upholding the robust standards and expectations set out in NEOM’s Code of Conduct.
3. Maintain fair, ethical and professional work practices in accordance with NEOM’s Values and Code of Conduct.

EXPERIENCE & QUALIFICATIONS

Knowledge, Skills, and Experience

1. 2+ years of experience in data management, data analysis, or sustainability reporting, preferably within large-scale or innovative projects.
2. Proven ability to develop and implement data management processes and quality control measures, ideally within complex and evolving environments.
3. Excellent analytical and problem-solving skills with a meticulous attention to detail and a focus on data accuracy.
4. Proficiency in data management tools and software (e.g., Excel, database management systems, ESG reporting platforms, data visualization tools).
5. Strong communication and collaboration skills with the ability to work effectively across diverse teams and stakeholders within a large and dynamic organization.
6. Experience with data integration from multiple sources and familiarity with smart city technologies or IoT data is a significant plus.
7. Familiarity with Saudi Arabian regulations and sustainability initiatives is advantageous.
8. Effective communication and presentation skills, with the ability to convey complex information clearly and concisely.
9. Excellent written and verbal communication skills in English.
10. Proficiency in Microsoft Office Suite.
11. Ability to work effectively in a fast-paced and dynamic environment.
12. Team player with a collaborative approach.
13. Strong ethical and moral compass.

Qualifications

1. Bachelor's degree in Finance, Business Administration, Data Science, Urban Planning, Business Analytics, or a related discipline.
2. Master's degree in a relevant field is preferred.