Analytics Governance Manager

About 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

Requirements

• 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-as

Additional Information

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.

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