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Analytics Governance Manager

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design the end-to-end Data Assurance governance model and workflows

  • Run data acquisition certification and risk scoring for all projects and platforms

  • Codify policies into governance rules, validators, and dashboards

  • Detect and eliminate manual files, shadow processes, and workarounds

  • Lead mitigation planning with stakeholders on non-compliant data implementations

From the employer’s posting
Design the end-to-end Data Assurance governance model, including data assurance governance workflows, checklists, and acceptance criteria
Own data acquisition governance design, gap identification, risk scoring, and recommendations for all DPCs, projects, platforms, and rollouts
Improve and codify policies into reusable governance logic (e.g., scripts, templates, calculators, dashboards, auto-validators)
Detect, design alternatives for, and eradicate non-system-to-system flows, shadow processes, manual files, and workarounds
Lead mitigation planning and influence stakeholders to accept, resolve, or redesign non-compliant implementations

What you’ll bring

All qualifications

Core experience

  • SQL, profiling, schema understanding, documentation systems
  • 5+ years data governance, data quality, data acquisition, or data platform experience
  • Strong SQL, lineage, metadata, documentation, and DQ rule engineering experience
  • Bachelor’s degree in CS, IS, Engineering, or related field
  • Experience driving governance adoption without direct reports
Qualification wording
SQL, profiling, schema understanding, documentation systems
5+ years data governance, data quality, data acquisition, or data platform experience
Strong SQL, lineage, metadata, documentation, and DQ rule engineering experience
Bachelor’s degree in CS, IS, Engineering, or related field
Experience driving governance adoption without direct reports
Education & alternatives
- Capable of designing governance frameworks and automations - Bachelor’s degree in CS, IS, Engineering, or related field Equal Opportunity Employer Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
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Open 4 monthsWe first saw this posting 132 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

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Live
First seen by us
Jun 25, 2026132 days ago
Recorded sightings
134
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 132

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From 589 similar postings that came down. Coming down is not always a hire.

Globe International is hiring

17 open jobs

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  • SQL
Where the posting names them
- Multi-domain impact analysis & ingestion architecture awareness - SQL, profiling, schema understanding, documentation systems - Governance automation, dashboards, scripts, AI-assisted validations
- Proven governance SME with cross-domain influence - Strong SQL, lineage, metadata, documentation, and DQ rule engineering experience - Experience driving governance adoption without direct reports

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About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

The Analytics Governance Manager – Data Assurance is the enterprise’s governance architect and gatekeeper for all incoming data, operating as an IC who designs, enforces, and scales the Data Assurance Framework across domains.

The role:
- Owns key governance “products”: data acquisition certification assessments, acquisition policies, principle dashboards, deviation controls, exception logic, lineage standards, and audit-ready documentation.
- Leads cross-functional alignment across Globe stakeholders, platform owners, and business units through subject-matter authority, design leadership, and governance influence.
- Ensures a zero-workaround, zero-tech-debt, principle-aligned data ecosystem by designing scalable rule systems, improving governance tooling, and driving adoption of industry-standard principles and policies.
- Serves as the primary SME for ingestion readiness, architecture impact analysis, and analytics data gatekeeping.

This role protects the quality, reliability, and compliance of Globe’s analytics ecosystem through expert-level governance design, deep technical understanding, and strategic influence.

DUTIES AND RESPONSIBILITIES:

1. Governance Architecture & Design Ownership

  • Design the end-to-end Data Assurance governance model, including data assurance governance workflows, checklists, and acceptance criteria.

  • Engineer exception logic, documentation standards, principle-compliance validations, and system-to-system onboarding patterns.

  • Improve and codify policies into reusable governance logic (e.g., scripts, templates, calculators, dashboards, auto-validators).

  • Translate principles and policies into technical governance design, ensuring every new dataset follows the required controls and documentation structure.

2. Multi-Domain Governance Leadership

  • Act as the IC governance lead across multiple BU/domains

  • Drive cross-functional alignment with Globe stakeholders 

  • Influence teams to adopt governance workflows and industry-standard principles and policies

  • Represent governance in discussions that impact ingestion design, metadata structures, and downstream analytics.

3. Data Acquisition Governance & Risk Leadership

  • Own data acquisition governance design, gap identification, risk scoring, and recommendations for all DPCs, projects, platforms, and rollouts.

  • Lead mitigation planning and influence stakeholders to accept, resolve, or redesign non-compliant implementations.

  • Ensure certifications meet targets in terms of processing, documentation completeness, and principle integrity

4. Tech Debt & Manual Workaround Elimination

  • Detect, design alternatives for, and eradicate non-system-to-system flows, shadow processes, manual files, and workarounds.

  • Drive automated governance controls that prevent re-introduction of technical debt.

  • Ensure ACE targets (automation, consolidation, elimination) of tech debts

5. Policy, Standards, & Principle Compliance Leadership

  • Maintain expert-level knowledge of industry-standard principles, Data Assurance Policies, certification frameworks, lineage standards, documentation requirements, and audit expectations.

  • Lead and influence adoption of:

  • Self-service acquisition repositories

  • Governance dashboards

  • Policy-compliance scoring and reporting

  • Ensure policy adoption and reduction of policy deviations.

6. Advanced Governance Problem-Solving & Innovation (stretch)

  • Design and refine next-gen governance automations, dashboards, validations, and rule engines.

  • Build AI-enhanced workflows for policy compliance and enforcement

  • Lead architectural reviews for governance tooling and propose enterprise-ready enhancements.

KPIs

  • Governance Effectiveness

  • Tech Debt & Workaround Removal

  • Operational Excellence

  • SLA adherence for certification reviews, impact assessments, and risk scoring

  • Reduction of post-rollout data issues due to acquisition defects

  • Accuracy and reliability of governance dashboards and controls

  • Cross-Functional Influence

  • Adoption rate of Assurance frameworks 

  • Implementation of Assurance-required changes in projects/platforms

  • Successful alignment across multiple domains

TOP DELIVERABLES

  • Enforcement of the Enterprise Data Assurance Governance Framework

  • Data Assurance Certification - Workflow Enhancements & Compliance Reporting

  • Principle Integrity Engine (validations, rules, deviations control)

  • System-to-System Assurance Playbook & Tech-Debt Elimination

 
SKILLS

  • Technical (Hard Skills)

  • Expert-level Data Governance (certification, principles, policies, lineage, metadata)

  • Governance logic engineering (DQ rules, exception logic, policy codification)

  • Multi-domain impact analysis & ingestion architecture awareness

  • SQL, profiling, schema understanding, documentation systems

  • Governance automation, dashboards, scripts, AI-assisted validations

  • (Preferred) Certified in Project Management/ITSM/LEAN Six Sigma

  • (Preferred) Finance/Risk Management

  • (Preferred) Advanced-to-Expert AI prompting

  • (Preferred) Data Architecture or Engineering background

  • (Preferred) Data Lake background

Soft Skills (IC Influence)

  • Cross-functional technical influence

  • Architectural reasoning for governance

  • High-precision documentation and analytical rigor

  • Risk negotiation and principled assertiveness

  • Systems-level problem solving

  • (Preferred) Project leadership experience in IT/Engineering/Business initiatives


 

REQUIREMENTS

  • 5+ years data governance, data quality, data acquisition, or data platform experience

  • Proven governance SME with cross-domain influence

  • Strong SQL, lineage, metadata, documentation, and DQ rule engineering experience

  • Experience driving governance adoption without direct reports

  • Capable of designing governance frameworks and automations

  • Bachelor’s degree in CS, IS, Engineering, or related field

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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