Data Governance Analyst

AFL•Duncan, SC

1d•Remote

About The Position

AFL is seeking a Data Governance & Analytics Analyst to turn complex enterprise data into trusted insights that support business decisions, operational performance, and continuous improvement. The role combines advanced analytics with data governance, partnering with business leaders, Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and enable data-driven decision-making. The position can be performed remotely from anywhere in the United States. The analyst leads data governance initiatives and stakeholder engagement, analyzes enterprise data, develops executive dashboards and data stories, and helps maintain governance frameworks covering data quality, lineage, metadata, and stewardship. The role also uses AI-enabled tools to support analysis and productivity, while validating outputs and ensuring alignment with governance standards. It supports process improvement and compliance work, collaborates across business and technology functions, and mentors junior analysts. The role operates in a normal office and manufacturing facility environment. Some travel may be required, but it is not frequent (less than 15%).

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Information Management, Mathematics, Engineering, or a related discipline.
3–5+ years of experience in business analysis, data analysis, or data governance roles.
Advanced understanding of data structures, relational databases, data modeling principles, and analytical techniques.
Advanced proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for data extraction, transformation, analysis, and validation.
Experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques.
Experience translating complex data analysis into actionable insights and delivering clear presentations of findings and recommendations.
Experience using AI-enabled productivity tools to support analysis, documentation, reporting, or business process improvement.
Ability to validate AI-generated outputs using critical thinking, business knowledge, and data analysis techniques.
Demonstrated ability to manage and coordinate data governance initiatives, including planning, execution, and stakeholder engagement.
Ability to work autonomously, exercise sound judgment, manage competing priorities, and deliver high-quality outcomes on time.
Strong written and verbal communication, relationship-building, influence, critical thinking, strategic thinking, and stakeholder-management skills.
Detail-oriented commitment to data integrity, quality, and precision in analysis and reporting.
Proactive self-starter able to drive initiatives forward with minimal direction and adapt to changing environments.

Nice To Haves

Experience in a supply chain or manufacturing environment.
Familiarity with Oracle EBS or other ERP, MRP, supply chain planning, and scheduling systems.
Familiarity with data governance frameworks such as DGI or DAMA-DMBOK.
Experience with data governance tools such as Collibra or Alation and data management concepts including data quality, metadata, and data lineage.
Familiarity with S&OP and/or IBP processes.
Experience mentoring junior team members and fostering data stewardship and accountability.

Responsibilities

Engage senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
Plan, coordinate, and execute data governance initiatives in alignment with business priorities, timelines, and governance objectives.
Analyze complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities.
Develop executive dashboards, visualizations, and data stories to communicate insights, governance performance, trends, and recommendations.
Use AI-assisted analysis and productivity tools for data discovery, documentation, reporting, and insight generation, validating results and aligning them with governance standards.
Develop, document, and maintain data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
Partner with data owners and stewards to support accountability for data quality, integrity, and compliance across domains.
Assess processes and conduct root cause analyses to recommend scalable process and system improvements that enhance data quality and governance.
Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls.
Collaborate with technology, information security, risk, compliance, and business teams to operationalize governance tools and processes.
Mentor junior analysts and contribute to best practices within the data governance function.
Identify patterns, trends, and opportunities in enterprise data to improve business processes, operational performance, and decision-making.
Translate complex analysis into actionable insights and present findings and recommendations clearly.