RL

Robin Lucchesi

Ap/ar Specialist at Kognitiv Inc.

Robin Lucchesi is an experienced accounting professional specializing in accounts payable and receivable functions. Currently, Robin serves as an AP/AR Specialist at Kognitiv Inc., a position held since March 2023. Prior roles include Accounts Payable Specialist at Methods Machine Tools, Inc., where responsibilities encompassed processing invoices, managing check runs, and vendor file updates. As an Accounting Manager at VISKA Group, Robin prepared and collected client invoices and managed QuickBooks transactions. Additional experience includes positions at The Forsyth Institute, The Ariel Group, the Internal Revenue Service, and various temporary roles. Robin holds a Certificate in Accounting and is pursuing a CPA track from Assumption University, alongside a Bachelor of Arts from the University of Massachusetts Amherst.

Location

Sturbridge, United States

Links

Previous companies


Org chart

This person is not in the org chart


Teams


Offices

This person is not in any offices


Kognitiv Inc.

The founders and consultants of Kognitiv live and breathe Workday®. We understand that going live with your new system is just the first step in a long partnership with Workday® and its ecosystem. Implementations are fast and furious, with work like reports, dashboards, and knowledge transfer often postponed until after a go-live. In some cases, your implementation partner has already moved on to its next project. This is why Kognitiv exists: to bridge the gap for those clients wanting to better maintain and enhance their system post a go-live. Kognitiv offers simplified Workday® consulting and support without the need for long-term contracts, complicated rate cards or minimum spend requirements. This solution allows clients to pay for only what they need, when they need it, such as rolling out new features to your team, handling updates, or adding new divisions to your organization. Whatever project is thrown your way, Kognitiv has the experts to scale up your team quickly to handle the workload.