Professional - Data Analyst V(Senior Data Governance Specialist) Job at Sparc Technology Services Inc, Houston, TX

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  • Sparc Technology Services Inc
  • Houston, TX

Job Description

Job Description

Job Description

Job Title: Professional - Data Analyst V(Senior Data Governance Specialist)
Location: Houston Downtown, TX
Working type: Hybrid; Monday-Thursday in person; Fridays remote
Duration: 12 months,

Job Description:
Senior Data Governance Specialist

Summary
The Senior Data Governance Specialist is responsible for establishing, driving, and maturing the enterprise data governance framework. This role ensures the organizations data is trustworthy, compliant, secure, and aligned to business strategy. The Senior Specialist provides cross pillar leadership across metadata, lineage, DQ, access governance, policies, MDM, compliance, and change management initiatives, working with senior business partners, technical teams, Legal/Security, and audit stakeholders.

Job Responsibilities:
Data Governance Strategy & Framework
Develop and maintain the enterprise DG strategy, policies, standards, and processes.
Define and implement scalable operating models (centralized, federated, hybrid).
Lead DG KPI development, maturity assessments, and continuous improvement cycles.
Data Quality Management
Define enterprise DQ dimensions, rules, controls, and remediation workflows.
Drive organization wide identification and governance of Critical Data Elements.
Oversee issue triage, RCA, and remediation with clear business/technical ownership.
Metadata, Lineage & Catalog Management
Lead enterprise adoption of metadata standards and quality expectations.
Oversee Atlan catalog governance (domains, glossary, lineage, personas/policies).
Partner with architecture and engineering to expand automated and governed manual lineage.
Data Ownership & Stewardship
Establish and operationalize Data Owner, Steward, Custodian roles and accountability models.
Lead the Data Governance Council and steward communities; ensure alignment on definitions, usage, and controls.
Policy, Controls & Compliance
Ensure compliance with internal DG policies and external regulations (GDPR/CCPA/SOX/HIPAA depending on industry).
Partner with Legal, Security, and Compliance to define and maintain privacy, access, retention, and risk controls.
Lead audit evidence collection and regulatory readiness for data related controls.
Master & Reference Data Governance
Drive governance for master data domains in partnership with MDM/architecture teams.
Oversee enterprise reference data lifecycle, definitions, and approved values.
Data Access & Security Governance
Define and govern classification schemes, access policies, and protection controls.
Work with Security/IT on RBAC, entitlement reviews, and data protection validation.
Technology & Tools Enablement
Evaluate and implement DG technology stack: Atlan, Monte Carlo, MDM tools, workflow automation, ITSM integrations.
Lead Atlan/MC enablement, ensuring enterprise adoption of metadata, lineage, DQ, and certification workflows.
Integrate metadata/QoS signals into BI dashboards; champion automation via APIs.
Stakeholder Engagement & Change Management
Serve as a primary ambassador for DG, translating technical governance concepts into business impact.
Lead education sessions, awareness campaigns, onboarding for DG roles.
Influence senior stakeholders and drive organization wide adoption.

Skills & Qualifications
Bachelor's degree in Computer Science, Data Management, MIS, or related field.
10+ years relevant experience in data governance, data management, analytics engineering, or data quality.
Deep expertise in metadata, master data, data quality, lineage, and regulatory compliance.
Hands on experience with Atlan and Monte Carlo or comparable platforms is strongly preferred.
Strong SQL + BI background, with experience in integrating catalog/observability data into dashboards.
Proven stakeholder leadership with ability to influence senior leaders across business, engineering, Legal, Security, and Compliance.
Excellent communication and ability to simplify complex data concepts.

Flexible work from home options available.

Job Tags

Remote work, Work from home, Flexible hours

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