Tax Technology & Data (Contract)
Job Description
Job Description:
- Lead and deliver end-to-end AI and automation projects from solution design through to implementation within the project period
- Map tax workflows alongside key stakeholders, identify operational inefficiencies, and prioritize manual tasks for process automation
- Build and maintain scalable automation tools using Python, SQL, workflow/RPA technologies, and LLMs
- Develop automated reconciliation tools for tax compliance, including VAT and withholding tax alignment against the general ledger
- Build robust data pipelines to extract, clean, and transform structured data from ERP systems and peripheral source applications
- Design AI-driven assistants to parse, extract, and summarize complex tax documentation, invoices, and regulatory guidelines
- Construct executive dashboards and automated reporting solutions for Tax and Finance leadership
- Translate complex tax functional requirements into structured technical architecture and communicate technology options to non-technical stakeholders
- Collaborate with Finance, Business Intelligence, and IT teams to govern data access, system integration, and solution deployment
- Establish technical documentation, process guidelines, and SOPs to enable seamless solution adoption and ongoing maintenance by the tax team
- Contribute to shaping the long-term tax technology roadmap and support the onboarding of project team members
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical domain, or equivalent practical experience
- Minimum 6 years of professional experience in software development, data engineering, process automation, or AI/ML implementation
- Strong hands-on proficiency in Python and SQL, with deep knowledge of database architecture and data modeling
- Practical experience building with AI and LLMs, including OpenAI/Claude APIs, prompt engineering, document extraction, RAG frameworks, or AI agents
- Proven track record of end-to-end technology project delivery, automated reconciliation tools, and data pipeline construction
- Professional proficiency in oral and written English and Bahasa Indonesia for multi-stakeholder collaboration
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