Data Governance Analyst
Summary
The Data Governance Analyst will design and implement enterprise data governance frameworks, standards, and operating models to ensure data quality, security, and compliance. The role involves collaborating with cross-functional teams to manage metadata, data lineage, and classification within a large-scale modernization program.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Analyst based in Brazil.
This role offers the opportunity to shape how critical enterprise data is governed, protected, and used across a large-scale modernization program. You will help establish practical governance frameworks, standards, and operating models that support data quality, security, privacy, and compliance. Working across business, technical, legal, security, and records management teams, you will turn complex requirements into clear and actionable controls. You will also contribute to data stewardship, metadata, lineage, classification, and governance maturity initiatives. The position combines strategic thinking with hands-on execution in a data-driven environment. It is well suited to an experienced governance professional who enjoys creating structure, improving data practices, and influencing teams through clear standards and collaboration.
Accountabilities
- Support the development, implementation, and ongoing maintenance of data governance frameworks, policies, standards, procedures, and operating models.
- Act as a Data Standards Architect by defining and maintaining data standards, naming conventions, business definitions, data structures, reference data, and governance requirements.
- Align data governance practices with enterprise architecture, security, privacy, records management, and regulatory requirements.
- Establish clear data ownership, stewardship, accountability, and decision-rights models, including RACI structures across business and technical teams.
- Partner with Data Stewards, Data Owners, business stakeholders, security, privacy, legal, records management, and technology teams to operationalize governance requirements.
- Classify and manage data assets according to their sensitivity, criticality, business value, privacy requirements, and regulatory obligations.
- Translate policies and regulatory requirements into practical data governance controls, procedures, and operational processes.
- Identify governance gaps, risks, and compliance issues and coordinate appropriate remediation activities.
- Support data access, sharing, usage, and lifecycle governance processes while ensuring appropriate privacy and security controls.
- Participate in governance councils, working groups, and data domain forums, contributing expertise and helping drive consistent adoption.
- Create and maintain governance documentation, standards, procedures, decision logs, glossaries, lineage information, and supporting artifacts.
- Monitor the adoption and effectiveness of governance policies and standards and report program metrics, maturity, and compliance status to leadership.
- Support governance assessments, audits, compliance reviews, maturity evaluations, roadmaps, and continuous improvement initiatives.
- Develop training materials and deliver awareness sessions that help teams understand data governance policies, standards, and regulatory expectations.
- Master’s degree in a relevant field, with 5+ years of general experience in information systems and 7+ years of specialized experience, or equivalent demonstrated expertise.
- Demonstrated experience supporting or implementing enterprise data governance programs and operating models.
- Strong ability to translate governance policies and regulatory requirements into practical processes, controls, and delivery practices.
- Solid understanding of data quality management, metadata management, data stewardship, classification, and governance frameworks.
- Experience governing sensitive, regulated, or high-risk data within environments with strict compliance requirements.
- Hands-on experience with data quality profiling, monitoring techniques, and common data governance tooling.
- Experience defining and maintaining enterprise data standards across multiple teams, platforms, or delivery environments.
- Strong knowledge of data modeling, data integration patterns, and change data capture concepts.
- Experience with metadata and data catalog platforms such as Collibra, Alation, or Qlik.
- Practical knowledge of implementing business glossaries, data lineage, and metadata capabilities within modern data platforms.
- Ability to translate technical metadata and governance concepts into clear, business-friendly definitions and documentation.
- Experience implementing data privacy controls, access management practices, and compliant data-sharing processes.
- Strong analytical, documentation, communication, and stakeholder-management skills.
- Ability to collaborate effectively with security, governance, engineering, legal, compliance, and business teams.
- Preferred: experience in federal government or other highly regulated environments, familiarity with enterprise data governance frameworks, and a recognized data management certification.
- Salary range of $128,039–$173,229, depending on experience, geographic location, and applicable contractual requirements.
- Full-time schedule of 40 hours per week.
- Fully remote work arrangement with location flexibility.
- Medical insurance options, including plans with Health Savings Accounts.
- Dental and vision insurance.
- 401(k) plan with employer matching and pre-tax and post-tax contribution options.
- Paid vacation, sick, and personal leave.
- Paid holidays, parental leave, military leave, bereavement leave, and jury-duty leave.
- Up to 160 hours of paid family leave over a rolling 12-month period for eligible employees.
- Short- and long-term disability coverage.
- Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
- Flexible work arrangements designed to support work-life balance.
- Opportunities to contribute to large-scale data modernization, analytics, cloud, AI, and technology initiatives.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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