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ESG AI Innovation Specialist

Prosus • Netherlands • Added on Jul 2, 2026
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As the ESG AI Innovation Specialist, you will act as a technical architect bridging the gap between cutting-edge automation and corporate responsibility. You will build and deploy intelligent systems to modernize how sustainability data flows throughout a global ecosystem of portfolio companies. By replacing manual tracking with agentic workflows, you ensure that the complex regulatory requirements of modern reporting are handled with digital-first efficiency.

This role is a unique opportunity to apply high-level AI engineering to the front lines of corporate impact. By automating the data pipelines for both commercial ESG metrics and the Prosus Foundation’s social initiatives, you enable a massive investment group to move from passive reporting to real-time strategic insights. Your work directly scales the group’s capacity to drive climate and social progress across hundreds of countries.

This suits someone who bridges the gap between software engineering and sustainability, possessing the technical grit to build data pipelines and the analytical mind to navigate ESRS frameworks.

Job FAQs

What are the main missions and responsibilities of this role?

The primary mission is to automate the group-wide ESG data infrastructure to ensure it is audit-ready and compliant with the European Sustainability Reporting Standards (ESRS). You will be the architect responsible for building agentic workflows that replace manual data entry, creating a more reliable and scalable process for a complex international portfolio. Beyond corporate reporting, you will manage the digital transformation of the Prosus Foundation. This involves designing automated systems for the entire social impact lifecycle, including funding application processing and impact reporting. You are essentially building the 'operating system' for the sustainability and social impact teams. Key duties also include developing advanced dashboards and performance tracking tools. These tools make ESG data transparent and actionable for internal stakeholders, allowing the organization to pivot from simple compliance to data-driven sustainability strategy.

Key learning opportunities for this job

This position offers a rare chance to gain mastery in ESRS and CSRD compliance from a technical implementation perspective. While many professionals understand these regulations theoretically, you will learn how to translate legal requirements into executable code and automated data definitions. Working within a massive technology investor provides exposure to a wide variety of industries, from fintech to food delivery. You will learn how sustainability data challenges differ across these sectors and how to build flexible AI tools that can adapt to diverse business models. You will also sharpen your skills in AI agentic systems and low-code/no-code integration. Implementing these technologies at the scale of a global group like Prosus is a significant professional milestone that sits at the intersection of data science and corporate governance.

How does the ideal candidate look like (experience, skills)?

The ideal candidate is a technical hybrid with at least three years of experience in data or AI engineering. You should have a proven track record of building automated pipelines or workflows that have successfully replaced manual business processes in a corporate environment. While this is a technical role, a working knowledge of ESG frameworks like GRI, ISSB, or CSRD is essential. You must be able to understand what 'audit-ready' means for sustainability data and possess the analytical clarity to ensure your automated systems meet these high standards. Soft skills are equally important; Prosus looks for high-ownership self-starters. You must be comfortable presenting your technical vision to non-technical sustainability leads and navigating the inherent ambiguity of a newly created innovation role.

Advice to stand out and make a successful application

To stand out, demonstrate your ability to solve fragmented data problems. In your application, focus on a specific instance where you integrated disparate data sources into a cohesive, automated system. Prosus manages 90+ companies, so highlighting experience with multi-entity or portfolio-level data will be highly relevant. You should also articulate your vision for AI in ESG. Don't just list your coding languages; explain why you believe automation is the key to solving current sustainability reporting bottlenecks. Showing that you understand both the 'how' (AI/Data Engineering) and the 'why' (Regulatory compliance and impact) will make you a top-tier candidate.

What aspects of the company's sustainability is this role likely to focus on?

The role focuses heavily on Environmental, Social, and Governance (ESG) transparency. By automating reporting, the role ensures that the company can accurately track its decarbonization and social impact progress without the risk of human error associated with manual spreadsheets. There is a specific focus on Social Impact via the Prosus Foundation. You will be digitizing the way the company handles philanthropy and community engagement, ensuring that social impact data is as robust and measurable as financial data. Lastly, the role touches on operational sustainability themes like business travel and climate metrics. By building better tracking tools for these domains, you enable the group to identify hotspots and implement more effective reduction strategies across its global operations.

What are the main challenges someone in this role might face?

One of the steepest challenges will be data standardization across diverse portfolio companies. Since each brand in the Prosus ecosystem may have its own legacy systems, creating a unified AI-driven reporting workflow requires significant coordination and technical flexibility. Navigating evolving regulations is another hurdle. The landscape of ESRS and CSRD is still relatively new and subject to interpretation. You will need to build systems that are not only robust today but flexible enough to be updated as regulatory guidelines become more granular. You may also face internal change management obstacles. Moving from manual, familiar processes to automated, AI-driven workflows requires gaining the trust of sustainability leads who must be confident in the accuracy and integrity of the output you provide.

How could a typical day look like for someone in this position?

A typical day might begin with a technical deep dive into an AI workflow, perhaps refining a Python script or an automation agent designed to pull energy usage data from a portfolio company's API. You would ensure the data mapping aligns perfectly with ESRS definitions. Mid-day, you might transition to stakeholder consultations. This could involve meeting with the social impact team to demo an automated dashboard for foundation funding or collaborating with the finance department to discuss how to integrate ESG data into the year-end audit process. Afternoons are often dedicated to innovation and experimentation. You might spend time researching new AI tools or low-code platforms that could further streamline data collection, or working on long-term architecture plans for the group's sustainability data warehouse.

What are the opportunities for professional growth and development in this role?

Growth in this role is centered on high-visibility leadership. As the architect of a new function, success here positions you as a thought leader at the intersection of AI and ESG, a rapidly growing niche in the global job market. There are opportunities to move into senior strategic roles within either the Sustainability department or the broader Technology division. Because you are working across the entire portfolio, you build a massive internal network that could lead to leadership roles within specific portfolio companies or geographic regions. You will also have the opportunity to shape the industry standard. High-quality automation in ESG is still in its infancy; by successfully deploying these systems at Prosus, you contribute to the blueprint of how global tech giants manage sustainability in the digital age.

The main stakeholders you might be interacting with

Your most frequent collaborators will be the Group Sustainability and Social Impact leads, who provide the strategic direction and requirements for the data systems you build. You act as their technical partner and innovation engine. You will also work closely with Data and IT owners across the various portfolio companies (like iFood or OLX). These interactions involve ensuring data quality at the source and troubleshooting integration points between their systems and the central reporting hub. Finally, you will interact with Finance and Legal colleagues. Since sustainability reporting is becoming increasingly tied to financial filings and regulatory compliance, ensuring your technical solutions meet the rigorous standards of the finance team is a critical aspect of your stakeholder management.

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