Data Governance Analyst

AFL Telecommunications•Duncan, SC

2d•Remote

About The Position

AFL is seeking a Data Governance & Analytics Analyst to transform complex enterprise data into trusted insights that support business decisions, operational performance, and continuous improvement. The role combines data analysis with data governance and partners with business leaders, Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and support data-driven decisions. The position can be performed remotely from anywhere in the United States. The analyst leads stakeholder engagement and data governance initiatives, performs advanced analysis of enterprise datasets, and develops executive dashboards, visualizations, and data stories. The role also supports the development and maintenance of governance frameworks, data quality standards, lineage, metadata management, and stewardship models; helps address regulatory and compliance requirements; and collaborates with technology, information security, risk, compliance, and business teams to implement governance tools and processes. The analyst uses AI-enabled tools to support analysis and productivity, validating outputs for accuracy and alignment with governance standards, and mentors junior analysts. The role requires a bachelor’s degree in a related discipline and 3–5+ years of experience in business analysis, data analysis, or data governance. Supply chain or manufacturing experience is preferred. The working environment includes normal office and manufacturing facility settings; some infrequent travel may be required (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.
Experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques.
Experience translating complex analysis into actionable insights and presenting findings and recommendations.
Experience with AI-enabled productivity tools and the ability to validate AI-generated outputs using critical thinking, business knowledge, and data analysis.
Demonstrated ability to manage and coordinate data governance initiatives 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.
Demonstrated initiative, attention to detail, commitment to data accuracy, adaptability, and continuous learning.
Ability to mentor junior team members and promote data stewardship and accountability.

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 g.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.

Responsibilities

Engage senior business stakeholders to define data governance priorities, align 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 that communicate insights, governance performance, trends, and recommendations.
Use AI-assisted analysis and productivity tools for data discovery, documentation, reporting, and insight generation, validating outputs for accuracy and governance compliance.
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.
Support process assessments and root-cause analyses, documenting and recommending scalable process and system improvements.
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 data governance best practices.
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.
Manage and coordinate governance initiatives, including planning, execution, and stakeholder engagement.