Data Strategy and Governance Lead

• Define and maintain the

, ensuring alignment with Finance priorities and transformation goals and evolving business needs.

• The

.

• Design a

that can support current and future requirements across analytics, automation, AI and digital transformation.

• Establish and lead the

, including: • data ownership and stewardship;

• decision rights and accountability;
• authority to create, modify and approve critical data;
• governance forums and escalation mechanisms;
• data policies, standards and controls.

• Define and monitor

, including dashboards and controls that provide visibility into data quality, exceptions and remediation progress.

• Govern

, with clear ownership, business definitions and quality expectations.

• Drive

by enabling Finance professionals and leaders to easily discover, access and use trusted data required for their roles.

• Define differentiated

based on business need, data sensitivity, regulatory requirements, security risk and company's security management framework and in partnership with IT, Cybersecurity, Legal, Privacy and Enterprise Data teams.

• Define enterprise Finance data models, standardized KPI definitions and calculations to create consistent and trusted decision-making across Finance.
• Establish frameworks for

, ensuring Finance users understand where data comes from, how it is transformed and how it should be used. Align with company's established data lineage tools.

• Partner with Finance, IT, and other functions to resolve cross-functional data issues and align enterprise data priorities.

•

.

• Support

, enabling users to: • understand key Finance data and metrics;

• interpret data correctly;
• use governed data products;
• understand appropriate use of analytics and AI;
• make better data-driven decisions.

• Preferably

across data strategy, governance, architecture, data quality and enterprise transformation.

• Graduate or four-year degree in Economics, Finance, Mathematics, Statistics, Computer Science, Data Science or a related discipline, or equivalent professional experience.
• Demonstrated experience operating across

• Finance Data Strategy
• Data Governance Operating Model
• Data Ownership & Stewardship
• Decision Rights & Accountability
• Data Quality Management
• Data Privacy & Security
• Data Access Governance
• Data Policies & Standards
• Metadata & Data Lineage
• Data Cataloging
• Enterprise Data Models
• Critical Data Elements
• Business Definitions & KPI Standardization
• Data Maturity Assessment

• Data Democratization
• Data Literacy
• Self-Service Analytics
• Data Products
• AI-Ready Data
• Data Integration
• Cloud Data Platforms
• Databricks
• Power BI
• SQL / Python

• Strategic Thinking
• Cross-Functional Influence
• Executive Communication
• Change Leadership
• Results Orientation
• Learning Agility
• Customer Centricity
• Digital Fluency

• Artificial Intelligence / Generative AI
• Machine Learning
• Advanced Analytics
• Predictive Analytics
• Data Science
• Data Visualization
• Automation

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Data & Information Technology