Senior Manager, Data Governance Analyst

Job Summary 

At The Coca-Cola Company, we leverage data as a strategic asset to drive enterprise-wide decision-making. This role is responsible for delivering analytical insights and governance support across multiple master data domains, including Customer, Vendor, Finance, Marketing, HR, and Supply Chain. 

The Senior Manager, Data Governance Analyst will combine strong analytical expertise with data governance discipline and stakeholder consulting capabilities. This role will ensure that trusted, well-governed data is accessible and effectively used across the organization while supporting key business initiatives that rely on master and reference data. 

Key Responsibilities 

Analytics & Multi-Domain Data Support 

• Perform complex data research and analysis across multiple enterprise data domains, including Customer, Vendor, Finance, Marketing, HR, and Supply Chain. 

• Design and implement data mining models, analytical frameworks, and statistical methodologies to identify trends and execute effective data profiling. 

• Develop scalable reporting solutions that enable consistent, cross-domain visibility into master data business challenges. 

Data Governance Execution 

• Support enterprise data governance activities, including:  

• Managing and coordinating system and reporting access requests in alignment with data access policies 

• Conducting periodic access reviews and audits to ensure appropriate data usage and compliance 

• Maintaining and enhancing metadata and business glossary content within the enterprise data catalog 

• Ensure adherence to data governance standards, policies, and controls to improve data quality, consistency, and trust. 

Stakeholder Consulting & Enablement 

• Provide consultative support to business stakeholders across the enterprise on projects requiring master and/or reference data. 

• Partner with business and technical teams to define and standardize critical data elements and usage guidelines. 

• Support domain data governance leads to translate business requirements into data solutions, ensuring alignment with governance principles and enterprise data strategy. 

Leadership & Execution 

• Lead cross-functional projects and processes, ensuring delivery against timelines and alignment with business priorities. 

• Drive improvements to data processes, systems, and workflows to enhance performance and efficiency. 

• Influence stakeholders across functions by communicating insights, recommendations, and governance expectations clearly and effectively. 

Education Requirements 

• Bachelor’s degree (or equivalent experience) in Data Science, Statistics, Computer Science, Business Analytics, or a related field 

• Advanced degree (e.g., Master’s, MBA) preferred 

Related Work Experience 

• 3-5 years of experience in data analytics, data management, or data governance within a business operations environment 

• Experience supporting multiple enterprise data domains (e.g., Customer, Finance, HR, Supply Chain, Vendor data) 

• Proven experience executing data governance processes such as access management, audits, or metadata management 

• Experience providing consultative support to stakeholders on data-related initiatives 

• Demonstrated people management experience, including leading and developing a team 

• Track record of leading projects or processes with measurable business impact 

Skills 

Technical & Functional Skills 

• Advanced data analysis, data mining, and statistical modeling 

• Understanding of master data management (MDM) and reference data concepts 

• Experience with data governance tools, enterprise data catalogs, and metadata management 

• Familiarity with data access controls, audit processes, and compliance practices 

• Experience with data tools (e.g., SQL, Python, BI/reporting platforms) 

Business & Leadership Skills 

• Strong consulting and stakeholder engagement skills 

• Ability to translate complex data concepts into business-friendly insights 

• Influencing and collaboration across cross-functional teams 

• Strong problem-solving and critical thinking abilities 

• Effective communication and data storytelling 

• Balance of technical knowledge and business acumen 

• Ability to manage through ambiguity as well as lead change 

• Ability to work across multiple cultures 

• Project management best practices