Data Strategy and Governance Lead

Description -

Job Summary

Define and lead the Finance Data Strategy and Governance agenda to establish a trusted scalable and flexible enterprise data foundation for Finance based on its business priorities and transformation goals.

The role will ensure that Finance data is trusted governed accessible secure and AI-ready enabling large scale Finance transformation. The data should be ready for automation advanced analytics AI at scale. The leader will establish the governance operating model for data ownership stewardship quality standards access privacy and security while being aligned with companys data policy and frameworks. The lead should support data democratization for Finance users.

Responsibilities

• Define and maintain the Finance Data Strategy and roadmap ensuring alignment with Finance priorities and transformation goals and evolving business needs.
• The Finance Data Strategy and roadmap need to be aligned with Finance Transformation roadmap.
• Design a scalable and flexible Finance data architecture that can support current and future requirements across analytics automation AI and digital transformation.
• Establish and lead the Finance data governance operating model 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 data quality standards and metrics including dashboards and controls that provide visibility into data quality exceptions and remediation progress.
• Govern critical Finance data domains and critical data elements with clear ownership business definitions and quality expectations.
• Drive data democratization by enabling Finance professionals and leaders to easily discover access and use trusted data required for their roles.
• Define differentiated data access and control models based on business need data sensitivity regulatory requirements security risk and companys 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 metadata and lineage ensuring Finance users understand where data comes from how it is transformed and how it should be used. Align with companys established data lineage tools.
• Partner with Finance IT and other functions to resolve cross-functional data issues and align enterprise data priorities.
• Data architecture should enable AI GenAI automation and analytics scalable products.
• Support Finance data-literacy programs 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.

Education & Experience

• Preferably 10 years of experience 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 business Finance and Technology organizations and influencing senior stakeholders.

Knowledge & Skills

Data Strategy & Governance

• 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 Enablement

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

Leadership

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

AI & Analytics

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

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Equal Opportunity Employer (EEO) -

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