Job Description

Ryan, LLC is an award-winning global tax firm that liberates its clients from the burden of being overtaxed. By freeing our clients capital, we make it possible for them to invest, grow, and thrive concentrating on what they do best. For years, Ryan has been delivering unparalleled value to many of the worlds most respected companies in the form of exceptional services, as well as cutting edge software solutions. In 2021, Ryan was named as One of the Best Places to Work by Glassdoor. Duties and responsibilities: Collaborate with senior leadership on driving the product strategy for integrating ERP applications with our data mesh service, focusing on core financial business objects. Develop and prioritize a product roadmap aligned with business goals, balancing short-term priorities with long-term growth objectives. Own the end-to-end product lifecycle: from requirements gathering, design, and development through launch and continuous improvement. Collaborate with engineering, data, and business teams to translate technical requirements into a cohesive, high-performing product. Establish a clear understanding of canonical data models and ensure accurate representation and integration of business objects, including financial statements and sub-ledgers. Drive standardization of financial data and reports across multiple ERP systems, ensuring compliance with global reporting standards. Maintain a deep understanding of ERP market trends, customer needs, and competitive dynamics, adapting product strategy as needed. Preferred Qualifications: 5 - 8 years of experience in product management, with a strong technical foundation and deep knowledge of ERP systems. Proven experience with ERP applications like Oracle, SAP, Sage, Infor, and others, ideally with a global implementation perspective. Strong background in Enterprise Data Warehousing, particularly in environments supporting multiple ERP data sources. Solid understanding of core financial statements, sub-ledger transactions, and accounting standards. Experience with data mesh and canonical models in data architecture. Experience working with global, cross-functional teams and scaling products across international markets. Bachelors degree in a relevant field (e.g., Computer Science, Information Systems, Finance); advanced degree preferr Work Timings 2:00PM to 11:00PM (Work from office)