Data Governance Lead

IntraEdge; Charlotte (NC); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Charlotte, NC is seeking a professional to define and own the multi-year product vision for enterprise data governance platforms. Responsibilities include leading agile delivery across teams, establishing data quality frameworks, and overseeing metadata management. The ideal candidate will have a strong background in data governance and agile methodologies, with proven experience in coordinating complex projects and communicating with stakeholders effectively.

Qualifications

• Experience in defining and owning product vision for data governance platforms.
• Ability to design and operationalize enterprise metadata and governance frameworks.
• Proven skills in leading agile delivery and managing cross-functional teams.

Responsibilities

• Define multi-year product vision for enterprise data governance.
• Lead agile delivery for enterprise backlogs with cross-functional coordination.
• Establish data quality frameworks and produce DQ dashboards.

Skills

Data governance

Agile delivery

Stakeholder communication

Data quality frameworks

Metadata management

Tools

Alation

Informatica Axon

Informatica IDQ

Job description

Overview

Define and own multi-year product vision and roadmap for enterprise data governance platforms covering metadata, lineage, reference data, and data quality.

Treat governance as a data product, defining KPIs, adoption metrics, and value realization.

Metadata Management & Business Glossary Architecture

• Design and operationalize enterprise metadata standards, business glossary structures, ownership models, and stewardship workflows.
• Ensure traceability between business terms, technical assets, reports, and downstream consumers using governance tooling.
• Govern lifecycle management of enterprise definitions, classifications, and certifications.

Automated Data Lineage & Impact Analysis

• Architect and oversee automated lineage across data warehouses, ETL pipelines, virtualization layers, and BI tools.
• Enable end-to-end traceability from source systems to regulatory reports.
• Support change-impact analysis, risk assessments, and audit evidence generation.

Enterprise Data Quality Engineering & Controls

• Establish enterprise data quality frameworks, including profiling, rule definition, thresholds, monitoring, and exception management.
• Define defect management workflows, root‑cause analysis, and remediation SLAs with data owners.
• Produce regulatory‑grade DQ dashboards and quality metrics.

Reference Data & API-Driven Distribution (Nice to have)

• Govern enterprise reference data standards and design API‑driven distribution models for consistent downstream consumption.
• Ensure single‑source‑of‑truth principles and eliminate duplication across systems.

Agile Product Delivery & Cross-Functional Leadership

• Lead agile delivery for large enterprise backlogs; write epics, user stories, and acceptance criteria.
• Coordinate work across platform engineers, data architects, governance leads, and offshore delivery teams.
• Manage release planning, dependency resolution, and stakeholder demos.
• Prepare governance artifacts, lineage views, and control documentation for audits and regulatory exams.
• Communicate governance posture and risk reduction outcomes to executive leadership.

Tools & Technologies

• Governance & Metadata: Alation, Informatica Axon
• Data Quality: Informatica IDQ, enterprise DQ frameworks