Job Description

PT Merdeka Copper Gold Tbk produces metals and minerals essential for human advancement. As an Indonesian metal and mineral mining holding company headquartered in Jakarta, Merdeka explores, extracts, and produces gold, silver, copper, and other minerals through subsidiaries across three islands in Indonesia.

Established in 2012, Merdeka became a public company in 2015 with the stock code MDKA. Merdeka is owned by prominent shareholders, including PT Saratoga Investama Sedaya Tbk, PT Provident Capital Indonesia (through PT Mitra Daya Mustika and PT Suwarna Arta Mandiri), and Garibaldi Thohir. 

You will serve as the connective tissue between Merdeka Group's business units, its IT function, and the BI AI & Automation Sub-Division. This is a senior individual-contributor role for someone who combines the structured thinking of a management consultant with a genuine understanding of automation, AI, and digital tools — and who thrives on making complex, multi-stakeholder initiatives actually happen. Where most roles sit either on the business side or the technology side, this role sits squarely in between them. You will be the person who identifies where time, money, and human effort are being wasted across the group; builds the case for change; designs the solution path; and then sees it through—coordinating IT, business owners, compliance, and HR until the outcome is real and measurable.

Responsibilities:

• Map, study, and deeply understand end-to-end business processes across all of Merdeka Group's functions and operating entities — finance, procurement, HR, operations, supply chain, compliance, and beyond. Proactively identify high-value pain points: processes that are slow, manual, error-prone, people-dependent, or commercially wasteful. Build and maintain a continuously updated pipeline of automation and AI use cases, ranked by value, feasibility, and strategic priority. Translate ambiguous field-level observations into structured problem statements with quantified impact estimates.
• Act as the primary interface between all departments and the BI AI Sub-Division — the one person that every business unit knows to call when they have a process problem or improvement idea. Translate business pain points into clear technical requirements for the IT team, and translate IT constraints and timelines back to business stakeholders in plain language. Facilitate structured workshops with users across all levels — from site operators to department heads — to define current-state issues, desired outcomes, and implementation priorities. Manage relationships with IT, Continuous Improvement, Process Compliance, HR, and all business units simultaneously, ensuring no initiative stalls due to misalignment or communication gaps.
• Prepare rigorous business cases for each prioritized initiative—including current-state cost analysis, projected savings, headcount reduction potential, implementation cost, and payback period. Define solution requirements at the business level: what the solution must do, how it will be used, who will own it, and how success will be measured. Recommend whether a given problem should be addressed through AI, automation, process redesign, a digital workflow tool, or a combination — without bias toward any single approach. Design target-state process flows that reflect the approved solution in a format that IT can build from and business owners can understand.
• Work directly alongside IT's AI Engineer and technical team to co-develop, test, and deploy automation and AI solutions—providing business logic, user feedback, and acceptance criteria throughout. Lead pilot execution from the business side: coordinating user access, managing feedback loops, tracking early results, and escalating blockers. Ensure solutions are not just technically deployed but genuinely embedded into the way departments work—including updated SOPs, user guides, and handover protocols. Track realized value post-deployment: cost savings, time freed, headcount redeployment, and error reduction versus the original baseline.
• Maintain an ongoing view of where across the group humans are performing tasks that could be fully or partially automated — and build a roadmap to systematically reduce that dependency. Quantify and track the group's automation savings portfolio: cumulative hours saved, roles made redundant, process cycles eliminated, and cost avoidance achieved. Contribute to the BI sub-division's reporting to senior management and the board on the AI and automation agenda, translating technical progress into financial and operational language.
• Ensure all solution initiatives are designed in compliance with Merdeka's internal controls, process compliance standards, and applicable regulatory requirements. Maintain disciplined documentation throughout every initiative: business case, requirements document, process maps, pilot log, implementation record, and value-tracking register. Support internal audit functions with documentation and process records as required.

Qualifications:

• Bachelor's degree in Industrial Engineering, Business, Management, Information Systems, Finance, Operations, Supply Chain, or a related field. MBA or equivalent postgraduate qualification is an advantage.
• Minimum 5–8 years of relevant experience. A strong consulting background (Big 4, boutique management consulting, or in-house corporate strategy/transformation) is strongly preferred. Candidates with deep operations or industrial engineering experience who have led digitalization or automation initiatives will also be considered.
• Experience in mining, manufacturing, energy, or other operationally complex industrial environments is strongly preferred. Exposure to site-level operations and the ability to work with field users is a significant advantage. T
• Must be genuinely comfortable with AI and automation tools — not as a developer, but as a knowledgeable evaluator and user. Familiarity with low-code workflow tools (Power Automate, AppSheet, Apps Script), BI platforms, process mapping software, and AI-enabled work tools. Awareness of what large language models, RPA, and ML can and cannot do in a business context.
• Exceptional structured problem-solving and business requirement writing. Strong financial modelling and business case skills. Outstanding stakeholder management across all levels of an organization. Ability to drive accountability across cross-functional teams without direct authority. High tolerance for ambiguity and a strong bias for action.
• English proficiency required. Chinese (Mandarin) language capability is an advantage.
• Placement: Jakarta (Head Office), with occasional travel to mine sites and operating entities across the Merdeka Group.