RGE Digital’s mission is to enable the digital transformation of RGE’s business units through the adoption of modern software technologies such as sensors, analytics engineering, cloud and artificial intelligence. Our business use cases span across forestry, paper manufacturing, edible oils, supply chain and renewable energy where we have global scale operations across four continents with USD 35 billion in assets and 70,000 employees.
We take a product-focused approach to providing business solutions, prototype ideas, test them in the real business scenarios, and build re-usable components. We are at the early innings of building a modern data tack and an advanced analytics capability that harnesses the vast data we possess but that is first-of-its-kind for our industry.
Position Summary:Perform the activities related to performing process analysis, identifying improvement opportunities and support the implementation of key digital initiatives that have significant impact on the business metrics and performance. Bring forward digital technologies and present to the business team on how digital can deliver process improvement, transformation benefits. Identify and manage process risks and issues that impact digital technology implementation. Drive the ambition to ambition to position Ace Digital as the undisputed leader in digital agriculture space, and to enable delivery of highly personalized, real-time experiences that customers increasingly expect.
Key Responsibilities:Use advanced analytics to extract insights and value from large-scale business data.Perform experimentation and build data-driven models to answer critical business questions.Strong ability to engage, present, and communicate with business stakeholders at multiple levels to ensure analytical outputs align with operational needs.Proven data storytelling and visualization skills using tools such as Matplotlib, Plotly, Seaborn, Power BI, or Metabase to convey insights clearly and persuasively.Articulate a data vision and roadmap for exploiting data as a strategic asset.Influence product teams through data-driven recommendations and evangelize best practices.Define technical strategies for big data processing, analysis, and interpretation.Apply machine learning and modeling to identify and present actionable insights for business decisions.Develop custom data models and algorithms for production use.Analyze current processes (AS-IS), identify gaps, and co-design future processes (TO-BE) with business owners using digital technologies.Manage and prioritize a Business Process Improvement portfolio, tracking KPIs and value realization.Collaborate with cross-functional teams to implement models and monitor performance.Build monitoring tools to track model accuracy and data quality.
Skills & Qualifications:Bachelor's or Master's Degree in Artificial Intelligence/ Data Science/ Machine Learning/ Software Engineering/ Computer Science/ MIS/ Engineering or related disciplineMinimum 3 years’ experience in data science or related field.Strong analytical and problem-solving skills; ability to interpret model results for business audiences.Solid understanding of statistical methods (e.g., Bayesian Inference, regression, hierarchical models).Proficient in Python (must-have); R and other languages are a plus.Experience building and deploying AI/ML models to production.Skilled in data visualization (Matplotlib, Plotly, Seaborn, Qlik, Tableau, Powerbi.).Proficient in SQL (PostgreSQL) is a must and familiar with NoSQL databasesExposure to process manufacturing technologies in pulp & paper, palm oil refining, or viscose fiber manufacturing is a bonus.Experience in maintenance, supply chain, manufacturing, or plantation domains preferred.
Position SummaryWe are seeking an AI Product Manager to drive the adoption and delivery of AI solutions across our Indonesian operations, based in Medan. This is a field-oriented role that goes beyond conventional product management — you will interface directly with operational teams at mill sites across Indonesia, gather requirements on the ground, and work closely with our AI/DS engineering team in Kuala Lumpur to translate those needs into working products. Your portfolio will span computer vision, generative AI, and data intelligence applications.
Key ResponsibilitiesOwn the product roadmap for AI solutions deployed across Indonesian operations, covering quality grading, process intelligence, and GenAI applicationsConduct regular site visits to operational facilities across Indonesia to validate product performance, gather user feedback, and ensure quality of deploymentInterface directly with end users and operational stakeholders to understand pain points, gather requirements, and define acceptance criteriaTranslate field requirements into clear product specifications, user stories, and backlog items for the engineering teamManage product backlog, coordinate sprint planning, and track delivery progress in collaboration with engineers in KLDrive GenAI initiatives including document intelligence, workflow automation, and LLM-based applications across business unitsLead product rollouts and change management at operational sites — ensuring teams understand, adopt, and derive value from AI toolsPrepare and maintain product documentation including release notes, SOPs, and stakeholder-facing updatesDefine success metrics and KPIs; monitor product outcomes and report progress to senior leadershipManage issue intake and resolution: triage feedback from the field, prioritise, and coordinate with engineering for closure
Required QualificationsBachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field4–7 years of experience in product management with meaningful exposure to AI, data, or enterprise software productsDemonstrated experience gathering requirements from non-technical stakeholders and translating them into product specificationsTrack record managing end-to-end product delivery in a cross-functional, cross-location environmentExperience conducting user research, field interviews, or usability reviews to inform product decisionsExperience in or exposure to agri-industrial, manufacturing, or field-deployment contexts is an advantageStrong requirements gathering, documentation, and product specification skillsConfident stakeholder management across operational, technical, and senior management audiencesFamiliarity with Agile ways of working: sprint planning, backlog grooming, and product roadmap managementProficiency with product and project tools (e.g., Jira, Confluence or equivalent)Familiarity with generative AI concepts — LLMs, RAG, AI agents; able to engage engineering teams as an informed partnerData-driven approach to decision making; able to define, track, and communicate product KPIsFluent in English and Bahasa Indonesia (written and spoken)Willingness to travel regularly to operational sites across Indonesia
Advantages / Preferred QualificationsExposure to computer vision, IoT-based, or sensor-driven systemsExperience in palm oil, agri-industrial, or plantation operationsWorking knowledge of SQL or data querying for product diagnostics and reportingExperience with dashboards or reporting tools (e.g., Metabase, Power BI, Tableau)Product management certification (e.g., CSPO, PMI-ACP, AIPMM)AWS Certified Cloud Practitioner or equivalent
