Head of ESG Data Operations

Manila, Philippines

RepRisk AG

World's largest ESG technology company

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Company Description

About Us 

RepRisk is a rapidly growing global company and a pioneer in the ESG data science field. Our goal is to make the world a better place by creating transparency in the business world – we are driving positive change via the power of data. We combine AI and machine learning with human intelligence to analyze public information and identify environmental, social, and governance (ESG) risks. We serve as a reality check for how companies conduct their business around the world – do they walk their talk when it comes to human rights, labor standards, corruption, and environmental issues?

We Offer 

  • A diverse, multicultural, collaborative and dynamic work environment in our fast-paced, mission-driven company.
  • Our working conditions support a good work-life balance. This includes the opportunity to work flexibly and from home (up to 3 days per week possible).
  • You will have market based compensation, benefits and perks in line with our culture and values.
  • Paid volunteering and training days, plus a donation matching program and a health and fitness subsidy.
  • Frequent (optional) social events: From office parties to cultural potlucks or team sports - and much more! 
  • At RepRisk we respect the different needs and life experiences of our colleagues and we value diversity. Equal opportunities and equal treatment are a top priority.
  • And more!

Job Description

About You 

Are you keen to transform and significantly grow a committed team of ESG data analysts? Are you a strong leader, results-oriented, and skilled at data curation and maintenance operations? Are you enthusiastic about working at the intersection of machine-learning and human intelligence? 

If your answer is YES – then this could be the perfect role for you! 

Your Responsibilities 

As the Head of ESG Data Operations, you'll play a pivotal role in scaling the high-quality business conduct data we offer to our clients. This unique position allows you to set the course for business conduct data as well as advocate for technology with human-in-the-loop operations. The role reports into the Head of ESG Research in Zurich, Switzerland, and is part of the data management team at RepRisk. 

In this role, you will: 

  • Create and implement a strategic action plan to transform and grow ESG data operations with an emphasis on technology first.  
  • Drive the efficiency, quality, and effectiveness of all ESG curation processes, activities, and initiatives 
  • Lead the development and expansion of a high-performing client-centric team in Manila  
  • Collaborate with technology and the data management teams, as well as other departments to integrate AI solutions that streamline operations and improve efficiency. 
  • Monitor, refine, and implement ESG curation methodologies, processes, and documentation. 
  • Serve as an advocate for smart human intervention in machine learning models/data products.  

Qualifications

You Offer 

  • Bachelor’s degree in operations, data or information management or a related field, a master’s degree is preferred.  
  • 7-10 years of relevant professional and managerial experience leading big and highly qualified teams, with at least a 3 years focused on data curation. 
  • Experience working in a multi-cultural, cross-functional, and collaborative environment, with a focus on high performance and client satisfaction. 
  • Robust planning, execution, and project management skills. 
  • Proficiency in English with excellent verbal and written communication skills.  
  • Proven skills in people management, leadership, teamwork, and relationship-building at all organizational levels. 
  • Capability for self-management and task prioritization, especially under pressure. 
  • Experience in content validation/creation activities are a plus. 
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Tags: Data management DataOps Machine Learning ML models Research

Perks/benefits: Career development Health care Home office stipend Team events

Region: Asia/Pacific
Country: Philippines

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