Financial Data Product Owner - AI-Driven Insights

Georgia-Pacific

Atlanta (GA)

Hybrid

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Georgia-Pacific is seeking a Financial Systems Manager to join our Finance Data Products team in Atlanta. This role focuses on owning enterprise financial data products, governance, automation, and delivering AI-enabled insights through modern reporting platforms.

You will partner with Finance, Tax, Corporate Reporting, FP&A, Technology, and business stakeholders to translate needs into reliable, governed data products and drive modernization that increases adoption and business value, while

Qualifications

Progressive accounting and/or finance experience with strong knowledge of accounting, internal controls, and financial reporting.
Strong collaborator, communicator, and influencer who can translate complex financial data and accounting topics for varied audiences.
Product-, process-, and transformation-minded, with the ability to prioritize work, synthesize stakeholder needs, adapt in a dynamic environment, and improve how work gets done.
Systems- and tools-savvy, with Microsoft 365 experience and interest in learning financial data tools, and AI-enabled processes.
Working knowledge of accounting, finance, tax, compliance, and data governance concepts.

Responsibilities

Act as a finance data product owner for enterprise financial reporting tools and data products, including administration, governance, prioritization, adoption, and continuous improvement.
Support month-end, quarter-end, and year-end financial activities, including issue resolution and process controls.
Partner with Finance, Tax, Corporate Reporting, FP&A, Technology, and business stakeholders to define requirements, translate user needs into product capabilities, and implement future-state solutions.
Leverage AI, automation, and emerging technologies to improve productivity, strengthen insights, and enable faster, higher-quality finance decisions.
Foster an environment of experimentation and learning by helping teams apply AI-enabled capabilities to solve business problems and create value.
Drive optimization of financial reporting, data integrity, security, master data, product configuration, and data quality controls to ensure trusted, reusable finance data assets.
Manage product backlog priorities, stakeholder feedback, enhancement requests, and adoption opportunities to maximize value realization from finance data products.
Support audit, tax reporting, compliance, reconciliations, and company standard requirements.
Mentor Financial Systems Analysts and finance data product users to build capability, improve adoption, and strengthen product thinking across the finance organization.