The Finance Data Architect owns the end-to-end finance data architecture, ensuring structural alignment across financial consolidation engines, Chart of Accounts (CoA), data integration pipelines, governance frameworks, and management/statutory reporting. Operating at both strategic and delivery levels, this role translates complex finance and business requirements into scalable, governed architectural designs.
DESCRIPTION OF POSITION:
1. Finance Data Architecture & Target-State Design
End-to-End Design Ownership: Own the finance data architecture across core ERPs, operational source systems, data integration layers, financial consolidation engines, and reporting environments.
Architecture Principles & Guardrails: Define target-state data flows, integration patterns, metadata principles, and data governance guardrails across the finance domain.
Impact Assessment: Assess downstream impacts of architectural changes, ensuring seamless alignment across Chart of Accounts (CoA), data quality rules, consolidation behavior, and executive reporting.
2. Technical Specialist Direction & Design Assurance
Technical & Platform Direction: Set clear priorities, technical outcomes, and architectural requirements for technical specialists, platform leads, and implementation partners.
Design Review & Challenge: Review and challenge technical designs, data mappings, business logic rules, metadata hierarchies, and control mechanisms prior to deployment.
Quality Assurance: Confirm technical deliverables strictly meet enterprise data architecture, control, and business requirements before production release.
3. Data Analysis & Mapping Leadership
Work Package Management: Plan and prioritize the work of Data Analysts against program roadmaps and sprint commitments.
Problem Decomposition: Translate complex finance, accounting, and architectural challenges into structured analytical work packages, data mappings, and impact assessments.
Deliverable Review: Review analyst outputs for analytical rigor, data traceability, and suitability for key architecture and delivery decisions.
4. Integration, Data Quality & Control Frameworks
Data Integration & Automation: Recommend sustainable, automated integration and data-loading approaches across disparate finance systems.
Governance Standards: Establish rigorous standards for data mapping, metadata definition, automated reconciliation, validation rules, and data lineage.
Risk & Issue Resolution: Drive root-cause analysis and remediation planning for material data quality risks, intercompany imbalances, and consolidation discrepancies.
5. Governance & Stakeholder Alignment
Governance Representation: Present architectural recommendations, technical decisions, dependencies, and risk assessments to senior governance committees.
Cross-Functional Alignment: Align stakeholders across Finance, Technology/IT, Business-as-Usual (BAU) operational teams, and external consultants.
Pragmatic Decision-Making: Maintain accountability for design decisions while balancing long-term strategic architecture with near-term delivery commitments.
EXPERIENCE REQUIRED:
1. Domain & Industry Experience
Finance Architecture Experience: Senior experience in finance systems design, finance data architecture, or enterprise data modeling within complex, multi-entity corporate environments.
Consolidation & Financial Close Knowledge: In-depth domain knowledge of group financial consolidation, intercompany processing, financial close, statutory/management reporting, and reconciliation controls.
Chart of Accounts & Metadata: Strong expertise in Chart of Accounts (CoA) design, metadata management, hierarchy structures, data mapping, and financial data governance.
2. Technical & Platform Expertise
EPM / Consolidation Platform Oversight: Sufficient architectural depth in modern Corporate Performance Management (CPM) / Enterprise Performance Management (EPM) platforms (e.g., Oracle HFM/EPM Cloud, OneStream, Anaplan, SAP Group Reporting, CCH Tagetik) to direct, review, and challenge technical specialist delivery.
Data Integration & ETL Knowledge: Solid understanding of financial data integration tools, ETL/ELT pipelines, mapping rules, data validation, and automated loading mechanisms. (Note: Hands-on configuration is secondary to strong architectural oversight and governance leadership).
3. Leadership & Strategic Capability
Team & Delivery Leadership: Proven ability guiding technical specialists, data analysts, and external consultants within complex delivery environments.
Stakeholder Engagement: Strong facilitation, communication, and decision-making skills with the ability to bridge discussions between senior Finance leaders and Technology teams.
**Please note: If you have not heard from us within 2 weeks, please consider your application unsuccessful.
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