AI Analyst-Finance (On-site)

Mastronardi Produce•Livonia, MI

7d•Onsite

About The Position

Mastronardi Produce, a leading greenhouse vegetable company, is seeking an AI & Automation Analyst, Finance to join their Information Technology team at their corporate office in Livonia, Michigan. This role is responsible for designing, implementing, and supporting automation and AI-enabled solutions to modernize Finance operations. The focus is on increasing efficiency, accuracy, and consistency across Finance workflows by applying automation, analytics, and AI to ERP systems, reporting tools, spreadsheets, and Finance documents. This is a hands-on individual contributor role that requires close partnership with Finance leadership and operational teams to deliver production-ready solutions aligned with control, audit, and security requirements.

Requirements

Bachelor’s degree/Diploma in relevant field required
Minimum of 2 years of experience in AI with a specialization in Finance
Experience working in Finance, Accounting, FP&A, or in a technical role directly supporting Finance operations.
Demonstrated experience translating business pain points into automation and AI solutions used in day-to-day operations.
Process mapping: experience documenting current-state workflows, identifying manual steps and inefficiencies, and defining requirements before building automation.
Testing and validation: disciplined approach to testing automation and AI solutions including functional testing, edge case validation, and user acceptance testing before Finance teams rely on outputs.
Agentic AI awareness: understanding of AI agents and multi-step autonomous workflows — what they are, where they apply in Finance operations, and how to evaluate or implement tools in this space as the technology matures.
Intelligent document processing: experience using AI to extract, classify, and validate data from Finance documents such as invoices, purchase orders, and vendor statements — whether through platform tools or AI models.
Hands-on experience with AI tools in a business context — including Claude (Anthropic), Microsoft Copilot (M365), or equivalent — with the ability to design and refine prompts that produce reliable, consistent, and auditable outputs; understanding of where AI adds value and where outputs require human review before use.
Microsoft Power Automate: designing and deploying automated workflows that connect systems, route approvals, trigger actions based on Finance events, and reduce manual handoffs.
Power BI: building Finance-facing dashboards, reports, and data models; working knowledge of DAX and Power Query expected.
Python: scripting for data processing, transformation, and automation using common libraries (pandas, openpyxl, or equivalent).
SQL: ability to query, join, and filter data across relational databases in support of Finance reporting, reconciliation, and analysis.
Microsoft Excel (advanced): strong working knowledge including Power Query, and formula-based automation as a baseline for identifying and replacing manual Finance processes.
ERP Systems: experience working in or building automation around ERP platforms (Microsoft Dynamics NAV/365, SAP, or equivalent); understanding of data structures and integration points relevant to Finance.

Responsibilities

Translate Finance objectives and operational pain points into practical, scalable automation and AI solutions.
Map and document current Finance processes to identify inefficiencies, manual steps, and automation opportunities before designing solutions.
Design, build, and deploy automation and AI solutions that improve Finance processes including reconciliations, reporting, analysis, and transactional support.
Test solutions thoroughly before deployment, including functional testing, edge case validation, and Finance user acceptance testing to ensure outputs are accurate and reliable.
Identify opportunities to build reusable automation components that can be applied across multiple Finance processes.
Apply AI to support data preparation, validation, analysis, exception identification, and reporting assistance.
Ensure AI outputs are auditable and meet Finance controls and compliance requirements.
Define success metrics for each solution and track adoption, performance, and operational impact post-deployment.
Work closely with Finance users to gather feedback, drive adoption, and continuously improve solutions through ongoing enhancements and hands-on training.
Create and maintain clear documentation for all solutions, workflows, and operating procedures.
Ensure all solutions align with IT governance, security, and compliance standards.