Data Product Owner - Accounting & Tax Data Architecture

Essential experience

• 7+ years in data architecture, data product management, or a senior data engineering role within a finance, tax, or ERP-adjacent environment.
• Demonstrated experience designing canonical or enterprise data models for financial domains (GL, subledger, tax, revenue, statutory reporting).
• Strong working knowledge of GAAP and/or IFRS reporting requirements and their implications for data architecture.
• Experience owning or significantly contributing to data warehouse strategy, including technology selection and platform design.
• Proven track record of driving data quality frameworks — profiling, lineage, validation rules, and quality metrics — at enterprise scale.
• Experience working in cross-functional environments, translating business and regulatory requirements into technical data solutions.

Technical skills

• Proficiency in data modelling methodologies (dimensional, relational, and conceptual modelling).
• Ability to read and interpret data models (entity-relationship diagrams, canonical schemas, JSON/XML structures) without needing to write them.
• Familiarity with Azure data platform concepts at a business level – understanding what a data lake, data warehouse, or data pipeline does without requiring hands-on technical skill.
• Experience with data cataloguing or governance tools for managing business glossaries and data dictionaries.
• Comfortable working with SQL for data validation and ad hoc analysis – not expected to write production code, but able to interrogate data to validate product outputs.

Preffered

• Hands-on experience with data governance tooling — metadata management, data catalogues, and business glossaries (e.g. Collibra, Alation, Informatica).
• Familiarity with cloud data platforms (e.g. Snowflake, Azure Synapse, Google BigQuery, AWS Redshift) and modern data stack principles.
• Understanding of ERP and finance systems (e.g. SAP, Oracle Financials, Workday Financials) and their data structures.
• Familiarity with tax technology platforms (e.g. Vertex, Sovos, Thomson Reuters ONESOURCE) is advantageous.