Finance Domain Lead

Veriipro; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Veriipro is seeking a Finance Domain Lead to drive the Data & Analytics Program on-site, coordinating with business owners, IT, and delivery teams. You will lead across AP, inventory, COGS, cash management, treasury and reconciliations, owning KPI definitions and sign-offs.

You will work with Oracle EBS Finance and data warehouse teams to map business requirements to data models and Redshift layers, ensuring accurate and validated financial insights.

Qualifications

• Extensive hands-on Finance & Accounting domain knowledge across AP, inventory, COGS/cost accounting, Cash Management, Cash Applications, Treasury and Bank Reconciliation.
• Strong understanding of financial reporting, KPI definitions, reconciliations, accounting periods, control totals and business validation of finance data.
• Experience leading finance/data discovery workshops and converting business reporting needs into structured functional and data requirements.
• Experience owning requirements artifacts, KPI/KSM catalogs, business glossaries, sign-off processes and stakeholder decisions.
• Working knowledge of Oracle EBS Finance data and processes; ability to collaborate with an Oracle EBS Finance Functional Consultant on source and calculation validation.
• Experience working with data modelling, data warehouse or analytics delivery teams, bridging Finance stakeholders and technical teams.
• Understanding of data reconciliation, UAT and validation of curated/semantic data layers against source-system and expected business values.
• Strong stakeholder management, facilitation, written communication and executive communication skills.
• Ability to lead in a parallel, multi-work stream delivery model and manage competing priorities and sign-off dependencies.

Responsibilities

• Act as the primary onsite business-facing lead for the engagement, coordinating closely with business owners, IT and the delivery team.
• Provide Finance & Accounting domain leadership across Accounts Payable, inventory accounting, COGS/cost accounting, Cash Management, Cash Applications, Treasury and Bank Reconciliation.
• Own the Key Success Metrics (KSM) process for each subject area, including requirement clarification, metric definition, business logic, expected values, rolling reviews, change tracking and business sign-off.
• Lead finance-focused discovery workshops and revalidation sessions, translating dashboard wireframes and business logic into measures, dimensions, grain, date basis and source requirements.
• Work closely with the Oracle EBS Finance Functional Consultant to validate KPI and calculation logic against Oracle EBS during discovery.
• Partner with Data Modelers and Data Engineers to ensure business requirements are accurately reflected in conceptual, logical and physical data models, source-to-target mappings and the curated Redshift layer.
• Drive resolution of business definition gaps, source-data questions, offline/manual source dispositions and cross-functional dependencies.
• Ensure finance stakeholders can validate the data layer through clear KPI definitions, business glossary content and UAT validation packs.
• Coordinate business sign-offs, decisions and escalations with the Project Manager, while supporting governance, RAID management and change control.
• Support UAT by helping business owners understand expected KPI results, reconciliation outcomes and functional defects; facilitate timely resolution of finance-domain issues.
• Provide finance walkthroughs at the close of each subject area and support knowledge transfer and handover to stakeholders.
• Maintain strong onsite stakeholder engagement and ensure business, functional and technical teams remain aligned across concurrent delivery waves.

Skills

Finance domain knowledge

KPI definitions & business validation

Stakeholder management

Executive communication

Oracle EBS familiarity

Data modelling / data warehouse

UAT / validation

Project coordination

Multi-work stream delivery

Vendor engagement

Tools

Oracle EBS Finance

AWS / Redshift

Power BI

Job description

Finance Domain Lead (Data & Analytics Program)

Key Responsibilities

• Act as the primary onsite business-facing lead for the engagement, coordinating closely with business owners, IT and the delivery team.
• Provide Finance & Accounting domain leadership across Accounts Payable, inventory accounting, COGS/cost accounting, Cash Management, Cash Applications, Treasury and Bank Reconciliation.
• Own the Key Success Metrics (KSM) process for each subject area, including requirement clarification, metric definition, business logic, expected values, rolling reviews, change tracking and business sign-off.
• Lead finance-focused discovery workshops and revalidation sessions, translating dashboard wireframes and business logic into measures, dimensions, grain, date basis and source requirements.
• Work closely with the Oracle EBS Finance Functional Consultant to validate KPI and calculation logic against Oracle EBS during discovery.
• Partner with Data Modelers and Data Engineers to ensure business requirements are accurately reflected in conceptual, logical and physical data models, source-to-target mappings and the curated Redshift layer.
• Drive resolution of business definition gaps, source-data questions, offline/manual source dispositions and cross-functional dependencies.
• Ensure finance stakeholders can validate the data layer through clear KPI definitions, business glossary content and UAT validation packs.
• Coordinate business sign-offs, decisions and escalations with the Project Manager, while supporting governance, RAID management and change control.
• Support UAT by helping business owners understand expected KPI results, reconciliation outcomes and functional defects; facilitate timely resolution of finance-domain issues.
• Provide finance walkthroughs at the close of each subject area and support knowledge transfer and handover to stakeholders.
• Maintain strong onsite stakeholder engagement and ensure business, functional and technical teams remain aligned across concurrent delivery waves.

Required Experience and Skills

• Strong hands-on Finance & Accounting domain knowledge in multiple areas relevant to the engagement: Accounts Payable, inventory accounting, COGS/cost accounting, Cash Management, Cash Applications, Treasury and Bank Reconciliation.
• Strong understanding of financial reporting, KPI definitions, reconciliations, accounting periods, control totals and business validation of finance data.
• Experience leading finance/data discovery workshops and converting business reporting needs into structured functional and data requirements.
• Experience owning requirements artifacts, KPI/KSM catalogs, business glossaries, sign-off processes and stakeholder decisions.
• Working knowledge of Oracle EBS Finance data and processes; ability to collaborate effectively with an Oracle EBS Finance Functional Consultant on source and calculation validation.
• Experience working with data modelling, data warehouse or analytics delivery teams, with the ability to bridge Finance stakeholders and technical teams.
• Understanding of data reconciliation, UAT and validation of curated/semantic data layers against source-system and expected business values.
• Strong stakeholder management, facilitation, written communication and executive communication skills.
• Ability to lead in a parallel, multi-work stream delivery model and manage competing priorities and sign-off dependencies.

Preferred Qualifications

• 10+ years of overall experience with significant experience in Finance transformation, Finance analytics, ERP-enabled reporting or enterprise data programs.
• Prior experience in an Engagement Lead, Finance Domain Lead, Finance SME, Business Lead or similar client-facing role.
• Oracle EBS Finance exposure across AP, Inventory, Costing, WIP, Cash Management and/or General Ledger.
• Experience with cloud data platforms and analytics ecosystems such as AWS, Amazon Redshift and Power BI is beneficial.
• Experience with data quality, reconciliation controls, historical data/backfill, dimensional modelling and semantic-layer initiatives is preferred.