Lead business process reengineering initiatives to simplify, automate, and optimize finance and operational processes.
Conduct process mapping, gap analysis, and value stream analysis to identify AI/automation opportunities.
Collaborate with cross-functional teams (Finance, IT, Business Units, etc.) to define requirements, manage change, and ensure alignment with business goals.
Support the definition and delivery of AI/automation use cases in finance (e.g., invoice processing, financial reporting, forecasting, compliance) and other business functions.
Act as a Business Analyst and Project Manager for transformation initiatives, including scoping, planning, execution, and delivery.
Provide data-driven insights and recommendations to stakeholders based on process performance and AI integration outcomes.
Participate in vendor selection, solution design, and implementation of AI/automation tools.
Support change management and training for finance and other teams during transformation.
Document and communicate transformation outcomes and KPIs to leadership.
Apply AI tools and prompt engineering to enhance analysis, reporting, and decision-making.
Leverage low/no-code AI tools to build and deploy AI-driven solutions for finance and other functional units.
Requirements
Bachelor’s or Master’s degree in Finance, Accounting, Business Administration, Information Systems, or related field.
Minimum 5+ years of experience in Finance, Accounting, or Business Process Management, with at least 2+ years in Business Process Reengineering (BPR) or Process Optimization.
2+ years of Business Analysis (BA) and Project Management (PM) experience, preferably in a consulting environment.
Proven experience in AI/automation in finance or a strong interest and ability to learn quickly.
Strong knowledge of finance and accounting processes (e.g., AP/AR, financial reporting, budgeting, forecasting, compliance).
Excellent analytical and problem-solving skills with a focus on data-driven decision-making.
Strong communication and stakeholder management skills, with the ability to translate business needs into technical requirements.
Proficiency in AI tools and prompt engineering (e.g., using AI platforms like ChatGPT, Google Gemini, or others for data analysis, report generation, and process automation).
Experience with low/no-code AI tools (e.g., Microsoft Power Platform, Google AutoML, etc.) or willingness to learn quickly.
Fluent in English, with strong written and verbal communication skills.
Finance/Accounting certification (e.g., CPA, CFA, CMA, ACCA) is a plus.
Benefits
Opportunity to apply AI and low/no-code tools in real-world scenarios, driving efficiency and insight.
Work in a high-impact, cross-functional environment with the opportunity to shape the future of finance and operations.
Develop and grow in a fast-paced, innovative, and tech-forward culture.
Be a key player in a multi-year AI-driven transformation across finance and other business units.
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