Finance Data Governance Consultant, Transformation

About the role

As a Finance Data Governance Consultant, Transformation within Finance Transformation, you will own governance for assigned Finance data domains-from business meaning to downstream use. You are accountable for ensuring financial definitions, Single Source of Truth (SSOT) decisions, lineage, and data quality standards are clearly defined, approved, documented, and consistently applied across the Finance data ecosystem. This role sits at the intersection of Finance, Data, and Analytics. You will partner closely with Finance subject matter experts (accounting, actuarial, treasury, FP&A), analytics engineering teams, and Finance leadership to resolve definition conflicts, govern usage, and approve exceptions. Your work directly enables trusted reporting, planning, modeling, regulatory activity, and future AI-enabled capabilities. The Team You will be part of Finance Transformation, working within CFO Data Management and alongside Business Data Stewards, Data Owners, analytics engineers, and enterprise data governance partners. This role is highly cross‑functional and visible, with regular interaction with senior Finance leaders and project teams across Finance initiatives. The Impact As the Finance Data Governance Consultant, Transformation , you will ensure Finance data is clearly defined, consistently governed, and trusted across the enterprise. By partnering with Finance experts and data teams, you will make financial data explainable, audit‑ready, and fit for decision‑making, reporting, and advanced analytics. Your responsibilities will include, but not be limited to the following Establish and sustain Single Source of Truth (SSOT) for Finance data domains, reducing reconciliation effort and reporting inconsistency. Enable semantic consistency, transparency, and explainability across Finance reporting, planning, capital, ALM, actuarial, and regulatory use cases. Strengthen audit readiness by ensuring clear lineage from business definition through data products and consumption. Ensure Finance governance requirements (definitions, lineage, data quality, certification) are embedded into Finance Transformation initiatives and sustained post‑implementation. Increase trust in Finance data foundations that support analytics, dashboards, and future AI use cases. Drive adoption of Finance data governance through measurable KPIs and executive‑level issue escalation when needed.