Data Governance Analyst

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset.

We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

• Flexible time off policy
• 401K Company match (up to 4% - dollar for dollar)
• Professional development, training, and tuition reimbursement programs
• Excellent medical, dental, vision, and life insurance policy options
• Opportunities for career advancement with an industry leading company!

We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able to work remotely from anywhere in the United States.

An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous improvement. Combining strong analytical expertise with data governance principles, this role partners with business leaders to identify trends, risks, and opportunities, ensuring data is governed, trusted, and leveraged as a strategic asset. Working across business strategy, data analytics, and emerging AI-enabled capabilities, the role collaborates with Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and enable data-driven decision-making.

Key Responsibilities

• Lead engagement with senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
• Lead the planning, coordination, and execution of data governance initiatives, ensuring alignment with business priorities, timelines, and governance objectives.
• Perform advanced analysis of complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities that drive governance decisions, operational improvements, and business outcomes.
• Develop executive dashboards, visualizations, and data stories that communicate meaningful insights, governance performance, emerging trends, and business recommendations.
• Leverage AI-assisted analysis and productivity tools to improve data discovery, documentation, reporting, and insight generation while ensuring outputs are accurate, explainable, and aligned with data governance standards.
• Drive the development, documentation, and maintenance of data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
• Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance across domains.
• Support process assessments and root cause analyses to identify, document, and 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, info security, risk, compliance, and business teams to operationalize governance tools and processes.
• Mentor junior analysts and contribute to building best practices within the data governance function.

Key Competencies (Behavioral)

• Advanced Written and Verbal Communication: Ability to distill complex data concepts into clear, compelling narratives for executive and non-technical audiences.
• Relationship Building & Influence: Demonstrated ability to build strong, trust-based relationships with business partners and influence decision-making without direct authority.
• Critical Thinking: Exceptional analytical and problem-solving skills, with the ability to challenge assumptions and evaluate data from multiple perspectives.
• Strategic Thinking: Strong ability to connect data governance initiatives to enterprise strategy, risk management, and business value creation.
• Analytical Curiosity: Demonstrates intellectual curiosity by exploring data beyond the obvious, asking insightful questions, identifying patterns, and uncovering root causes that drive business value.
• AI & Digital Fluency: Demonstrates the ability to effectively leverage AI-enabled tools and emerging technologies to enhance analysis, productivity, and decision-making while applying sound judgment and validating results.
• Leadership & Mentorship: Experience guiding junior team members and fostering a culture of data stewardship and accountability.
• Stakeholder Management: Skilled at navigating complex organizational structures and aligning competing priorities.
• Ownership & Initiative: Proven self-starter who proactively identifies…