Data Product Owner - Accounting & Tax Data Architecture

About the role

TMF Group is looking for a Data Product Owner to own and shape the end-to-end data strategy for its Accounting and Tax domain. The role defines the architecture, standards and governance so that financial data is accurate, traceable and fit for purpose across regulatory and operational use. It is a senior individual contributor position embedded in Operations and Technology, sitting at the intersection of data architecture, finance operations and technology.

Key responsibilities

• Define the enterprise data architecture for accounting and tax, covering data models, flows, integrations and governance, and work with enterprise architects on the data warehouse strategy.
• Design canonical data models for general ledger, subledgers, fixed assets, revenue recognition, indirect and direct tax and statutory reporting.
• Establish data standards and controls, including data definitions, validation rules, lineage tracking and quality thresholds, and oversee metadata such as business glossaries and data dictionaries.
• Align data architecture with GAAP, IFRS and local statutory and tax authority requirements, and partner with Finance, Tax and IT teams on reporting and compliance needs.
• Support system implementations and upgrades by defining data architecture requirements and validating design decisions.
• Drive data quality through profiling, issue remediation and monitoring, and guide governance forums on data ownership and stewardship.
• Assess emerging technologies such as AI, automation, tax engines and cloud platforms, and enable analytics and automation use cases.

Required profile

• 7+ years in data architecture, data product management or a senior data engineering role in a finance, tax or ERP-adjacent environment.
• Demonstrated experience designing canonical data models for financial domains.
• Strong working knowledge of GAAP and/or IFRS reporting requirements.
• Experience owning or contributing to data warehouse strategy and data quality frameworks at enterprise scale.
• Proven ability to work cross-functionally and translate business and regulatory requirements into technical solutions.

Required skills

• Proficiency in dimensional, relational and conceptual data modelling, and ability to read ER diagrams, canonical schemas and JSON/XML.
• Familiarity with Azure data platform concepts at a business level.
• Experience with data cataloguing or governance tools; preferred: Collibra, Alation, Informatica.
• SQL for data validation and ad hoc analysis; preferred: Snowflake, Azure Synapse, BigQuery, Redshift, SAP, Oracle Financials, Workday Financials, tax platforms such as Vertex or Sovos.

What we offer

• Career progression opportunities and exposure to international clients and complex global projects.
• Learning through TMF Business Academy programmes.
• Flexible working arrangements and a feedback-driven, collaborative workplace.