Governance Data Analyst (E6088)

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Job Summary

The Data Governance Analyst plays a critical role in advancing enterprise data governance by partnering with business stakeholders, technology teams, and the data governance organization. This role requires exceptional communication and stakeholder-management skills, with the ability to translate complex data concepts into clear, actionable guidance.

The analyst will work cross-functionally with IT Teams to guide governance best practices, define data quality and metadata requirements, and convert business needs into technical deliverables. In addition to driving functional requirements, this role is responsible for executing technical development work-building, configuring, and deploying data governance solutions across the data catalog, metadata, and other data quality platforms.

The analyst will own the end-to-end delivery of governance capabilities, ensuring product integrity, enabling scalable processes, and championing data governance across diverse teams.

Key Responsibilities

• Requirements & Documentation: Collaborate with business stakeholders to gather, define, validate, and document data requirements and specifications.
• Strategy & Planning: Contribute to functional governance planning by aligning catalog structure, metadata standards, business glossaries, and quality rule frameworks to enterprise objectives.
• Product Quality Assurance: Maintain and govern metadata assets, business glossary content, and quality rules to ensure accuracy, consistency, compliance, and ongoing reliability.
• Product Quality Assurance: Conduct proactive monitoring and assurance of data integrity across the data catalog and quality rule configurations.
• Execution & Delivery: Implement and enforce data quality rules in Atlan, and use Soda to support continuous quality monitoring.
• Execution & Delivery: Support metadata integration and operational delivery in partnership with engineering, architecture, and data product functions.
• Stakeholder Engagement & Lead: Facilitate frequent cross-functional collaboration with Data Engineering, Data Architecture, and data product teams to promote governance alignment.
• Stakeholder Engagement & Lead: Actively promote data governance best practices, standards, and catalog adoption within business units and enterprise forums.
• Stakeholder Engagement & Lead: Serve as the designated Data Governance Subject Matter Expert (DG SME) in enterprise working sessions, representing business-unit needs and governance best practices.
• Consult and Lead: Provide consultative expertise and facilitation when guiding business stakeholders through data governance workflows and decisions.
• Leverage AI technology to evaluate and optimise governance processes.

Travel Information

• 5% Domestic

'',''!*!

Job Summary

The Data Governance Analyst plays a critical role in advancing enterprise data governance by partnering with business stakeholders, technology teams, and the data governance organization. This role requires exceptional communication and stakeholder-management skills, with the ability to translate complex data concepts into clear, actionable guidance.

The analyst will work cross-functionally with IT Teams to guide governance best practices, define data quality and metadata requirements, and convert business needs into technical deliverables. In addition to driving functional requirements, this role is responsible for executing technical development work-building, configuring, and deploying data governance solutions across the data catalog, metadata, and other data quality platforms.

The analyst will own the end-to-end delivery of governance capabilities, ensuring product integrity, enabling scalable processes, and championing data governance across diverse teams.

Key Responsibilities

• Requirements & Documentation: Collaborate with business stakeholders to gather, define, validate, and document data requirements and specifications.
• Strategy & Planning: Contribute to functional governance planning by aligning catalog structure, metadata standards, business glossaries, and quality rule frameworks to enterprise objectives.
• Product Quality Assurance: Maintain and govern metadata assets, business glossary content, and quality rules to ensure accuracy, consistency, compliance, and ongoing reliability.
• Product Quality Assurance: Conduct proactive monitoring and assurance of data integrity across the data catalog and quality rule configurations.
• Execution & Delivery: Implement and enforce data quality rules in Atlan, and use Soda to support continuous quality monitoring.
• Execution & Delivery: Support metadata integration and operational delivery in partnership with engineering, architecture, and data product functions.
• Stakeholder Engagement & Lead: Facilitate frequent cross-functional collaboration with Data Engineering, Data Architecture, and data product teams to promote governance alignment.
• Stakeholder Engagement & Lead: Actively promote data governance best practices, standards, and catalog adoption within business units and enterprise forums.
• Stakeholder Engagement & Lead: Serve as the designated Data Governance Subject Matter Expert (DG SME) in enterprise working sessions, representing business-unit needs and governance best practices.
• Consult and Lead: Provide consultative expertise and facilitation when guiding business stakeholders through data governance workflows and decisions.
• Leverage AI technology to evaluate and optimise governance processes.

Travel Information

• 5% Domestic

'',''!*!

Education

• Bachelor''s degree or equivalent experience In Computer Science, Data Science, Informaton Technology, Business Management, or related technical field. Advanced degrees a plus. Req
• Master''s or other advanced degree Pref

Work Experience

• 4-7 years Proven communicator with a strong ability to coordinate and drive follow-through across data governance teams and business stakeholders using multiple communication channels. Req
• 4-7 years Demonstrated autonomy and self-motivation, with experience managing a largely independent workload and maintaining accountability without direct oversight. Req
• 4-7 years Hands‑on experience using SQL, Python, or other programming languages for data analysis and validation. Req Req
• 4-7 years Analyst experience working daily with business stakeholders, leading requirements-driven working sessions, and translating business needs into structured technical specifications, user stories, and governance workflows within Jira. Req
• 4-7 years Hands-on data governance experience supporting data cataloging, master data management (MDM), metadata governance, or data quality monitoring and remediation. Req
• 2-4 years Practical understanding of data privacy, regulatory compliance, data policy frameworks, or industry data protection standards. Pref
• 2-4 years Experience supporting the development, configuration, or management of data privacy policies, compliance requirements, or governance controls within data policy or catalog platforms. Pref
• 2-4 years Prior experience contributing to data privacy tooling or policy governance in platforms such as Atlan. Pref

Skills and Requirements

• Functional Abilities
• Strong stakeholder management and interpersonal skills, with a talent for aligning diverse perspectives around a common vision.
• Ability to translate complex technical details into elegant, user‑centric solutions.
• Leverage AI technology to evaluate and optimise governance processes.
• Set accurate timelines for project work and communicate status updates, and risks.
• Strong documentation, writing, and presentation skills.
• Initiate and Deliver
• Influential skills to educate the business on data governance efforts and requirements.
• Excellent teamwork and ability to guide the project team to a shared common goal and deliverables.
• Analytical Skills
• Strong analytical aptitude and problem‑solving capabilities.
• Strong in user story definition, and dependencies for data-adjacent teams.
• Familiarity with highly technical data and analytics concepts including modern data architecture (cloud data warehouses, ETL/ELT, BI platforms, Machine-learning frameworks and workflows).
• Performs root cause analysis and understand the complex issue, then recommends a scalable solution.
• Decisions are grounded in Data Governance Best Practices, for scalability across the enterprise.

Other Requirements:

As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.

PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.

For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

===============================================

Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management's right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.

'',''!*!

Education

• Bachelor''s degree or equivalent experience In Computer Science, Data Science, Informaton Technology, Business Management, or related technical field. Advanced degrees a plus. Req
• Master''s or other advanced degree Pref

Work Experience

• 4-7 years Proven communicator with a strong ability to coordinate and drive follow-through across data governance teams and business stakeholders using multiple communication channels. Req
• 4-7 years Demonstrated autonomy and self-motivation, with experience managing a largely independent workload and maintaining accountability without direct oversight. Req
• 4-7 years Hands‑on experience using SQL, Python, or other programming languages for data analysis and validation. Req Req
• 4-7 years Analyst experience working daily with business stakeholders, leading requirements-driven working sessions, and translating business needs into structured technical specifications, user stories, and governance workflows within Jira. Req
• 4-7 years Hands-on data governance experience supporting data cataloging, master data management (MDM), metadata governance, or data quality monitoring and remediation. Req
• 2-4 years Practical understanding of data privacy, regulatory compliance, data policy frameworks, or industry data protection standards. Pref
• 2-4 years Experience supporting the development, configuration, or management of data privacy policies, compliance requirements, or governance controls within data policy or catalog platforms. Pref
• 2-4 years Prior experience contributing to data privacy tooling or policy governance in platforms such as Atlan. Pref

Skills and Requirements

• Functional Abilities
• Strong stakeholder management and interpersonal skills, with a talent for aligning diverse perspectives around a common vision.
• Ability to translate complex technical details into elegant, user‑centric solutions.
• Leverage AI technology to evaluate and optimise governance processes.
• Set accurate timelines for project work and communicate status updates, and risks.
• Strong documentation, writing, and presentation skills.
• Initiate and Deliver
• Influential skills to educate the business on data governance efforts and requirements.
• Excellent teamwork and ability to guide the project team to a shared common goal and deliverables.
• Analytical Skills
• Strong analytical aptitude and problem‑solving capabilities.
• Strong in user story definition, and dependencies for data-adjacent teams.
• Familiarity with highly technical data and analytics concepts including modern data architecture (cloud data warehouses, ETL/ELT, BI platforms, Machine-learning frameworks and workflows).
• Performs root cause analysis and understand the complex issue, then recommends a scalable solution.
• Decisions are grounded in Data Governance Best Practices, for scalability across the enterprise.

Other Requirements:

As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.

PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.

For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

===============================================

Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management's right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.

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