Data Strategy and Governance Lead

Description -

Job Summary
Define and execute the Finance data strategy to establish a trusted enterprise data foundation that enables transformation AI automation and advanced analytics. Lead data governance quality stewardship standards and business data architecture while enabling development of scalable data products standardized KPIs and enterprise data models. Partner across Finance IT and business functions to ensure trusted accessible and AI-ready data that accelerates decision-making and delivers measurable business value. The role will also be responsible to dive data literacy programs for finance users

Responsibilities

• Define and maintain the Finance Data Strategy to enable AI automation and advanced analytics and roadmap aligned with Finance and enterprise transformation priorities.
• Establish governance to create trusted standardized and AI-ready data across Finance and partner functions
• Build data literacy and drive adoption of governed data analytics and AI capabilities across a global Finance organization
• Partner with IT and BI teams to establish and govern Finance data policies standards ownership and stewardship to ensure trusted consistent and compliant data.
• Drive the Finance data governance operating model including governance forums decision-making and accountability across functions.
• Define the target Finance data architecture critical data domains enterprise data models and standardized business definitions.
• Prioritize strategic data capabilities and investments to enable AI automation analytics and digital transformation.
• Establish data quality metadata lineage and governance frameworks monitoring adherence through appropriate governance mechanisms.
• Partner with Finance IT Enterprise Data and business leaders to align data priorities influence enterprise data strategy and resolve cross-functional data challenges.
• Define governance metrics and oversee the maturity and adoption of Finance data capabilities ensuring alignment with strategic business outcomes.
• Education & Experience Recommended
  Four-year or Graduate Degree in Mathematics Statistics Economics Computer Science Data Science or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10 years of experience preferably in Finance data strategy architecture governance data quality analytics AI automation and enterprise transformation initiatives.

• Knowledge & Skills

• Data Strategy
• Data Architecture Policies & Standards
• Data Governance
• Data Governance Operating Model
• Data Stewardship & Ownership
• Data Quality Management
• Metadata Management
• Data Lineage
• Enterprise Data Models
• Data Domains & Business Definitions
• Data Cataloging
• Data Management
• AI-Ready Data
• Artificial Intelligence
• Generative AI
• Machine Learning
• Advanced Analytics
• Data Science
• Data Analysis
• Data Visualization
• Predictive Modeling
• Big Data
• Data Integration
• Data Pipelines
• SQL
• Python
• Cloud Data Platforms such as Azure or AWS
• Microsoft Power BI
• Databricks
• Data Maturity & Capability Assessment

• Cross-Org Skills
  Effective Communication
  Results Orientation
  Learning Agility
  Digital Fluency
  Customer Centricity

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Equal Opportunity Employer (EEO) -

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