Data Governance Senior

AST Space Mobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

The Data Governance Manager ensures end‑to‑end governance of satellite network data by establishing and maintaining standards, lineage, controls, and data‑quality frameworks that support reliable analytics for BPMS, RAN planning, mobility modeling, and regulatory reporting. This role defines data policies, validates data integrity, manages catalogs and lineage, enforces compliance, and ensures datasets meet engineering and planning requirements for accurate forecasting and operational decision‑making.

The position reports to the Director of Network Planning & Analytics.

This role is responsible for ensuring the trustworthiness, consistency, and governance of all satellite‑network data used for planning, modeling, and regulatory submissions. The Data Governance Manager establishes governance standards, lineage practices, and quality controls that enable dependable analytics across BPMS, RAN planning, and mobility modeling. By enforcing data‑quality and compliance standards, the role underpins accurate forecasting, defensible regulatory reporting, and sound operational decisions at scale.

• Establish data governance models, principles, and operating processes for satellite‑network datasets.
• Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls.
• Integrate governance requirements into planning workflows, data pipelines, and change management processes.

• Maintain data catalog, glossary, metadata repositories, and end‑to‑end lineage for critical planning and mobility datasets.
• Ensure data discoverability, semantic consistency, and traceability across engineering and analytics systems.
• Set data quality SLAs/SLOs, implement automated checks, and lead remediation for issues impacting planning accuracy or regulatory reporting.

• Ensure data compliance with regulatory reporting, internal governance, and audit requirements.
• Maintain audit‑ready artifacts and evidence of lineage, access governance, and data controls.
• Define stewardship roles, collaborate with planning, engineering, and analytics teams, and align data definitions with system‑level needs.

• Certify trusted datasets for BPMS analytics, RAN planning, mobility modeling, and forecasting.
• Govern schema changes, version control, and data lifecycle evolution across platforms.
• Deliver dashboards and reporting on data quality, lineage completeness, control adherence, risks, and remediation status.

• Data governance charter and operating model; documented policies, standards, and control catalogs.
• Enterprise data catalog with business glossary, certified data products, and end‑to‑end lineage maps.
• Data quality framework with rules, SLAs/SLOs, scorecards, monitoring, and remediation workflows.
• Stewardship model with ownership matrix (RACI), steward roster, and council meeting cadence notes.
• Approved data models and definitions for BPMS, RAN planning, mobility modeling, and regulatory datasets.
• Access governance artifacts (classification, RBAC/ABAC matrices), audit logs, and evidence packs.
• Change management procedures covering schema/versioning, impact assessments, and rollback plans.
• Quarterly governance dashboards (DQ trends, lineage completeness, incidents, SLA adherence).
• Regulatory reporting data packs with traceable lineage, control evidence, and sign‑off records.
• Deployment readiness “data certification” checklists for market activation and ongoing operations.

• Bachelor’s degree in Computer…