Business Process Simplification

• Partner with finance and accounting teams to deeply understand workflows and pain points.
• Translate business needs into technical solutions that simplify and streamline operations.
• Ensure all solutions align with compliance standards and audit requirements.

AI & Automation Development

• Build and deploy AI/ML business solutions (LLMs, agents) and workflows using N8N or similar tools for various finance and accounting tasks such as journal entry automation, reconciliation, forecasting, and anomaly detection.
• Integrate the solution workflow into existing enterprise systems such as Oracle ERP, SAP, Price Management, TM1, and Salesforce
• Develop robust data pipelines in Python to extract, clean, and prepare data from enterprise platforms (Databrics, AWS Redshift, Oracle etc) for AI, and reporting use cases.

Adoption & Enablement

• Drive AI and automation adoption by creating training programs and documentation for finance stakeholders.
• Promote the use of self-service AI and automation tools to empower non-technical users.
• Collaborate with IT and operations to leverage and integrate enterprise AI tools into existing systems and processes.

Data & Reporting

• Build and maintain data pipelines that support real-time and batch AI applications.
• Leverage Tableau, Power BI, and other self-service reporting tools to visualize insights and track automation impact.

Strategic Leadership

• Define KPIs and success metrics for AI initiatives in finance.
• Stay current with advancements in generative AI, agent-based modeling, and enterprise AI governance.
• Present findings and proposals to executive stakeholders and steering committees.

Qualifications:

• Bachelor’s or Master’s degree (MS strongly preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related field.
• 4+ years of experience building and deploying AI/ML models in enterprise environments.
• Proficiency in Python or Rust; experience with frameworks like PyTorch, TensorFlow, LangChain, or similar.
• AI automation and workflow development using N8N or similar tools.
• Deep understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP).
• Strong business acumen in finance and accounting, with the ability to map technical solutions to operational goals.
• Experience with ERP systems (e.g., Oracle, SAP) and financial data structures.
• Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization.
• Excellent communication and stakeholder management skills.

• Bachelor’s or Master’s degree (MS strongly preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related field.
• 4+ years of experience building and deploying AI/ML models in enterprise environments