1. Platform Operations & Stability
.Own day-to-day operational management of enterprise data platforms supporting data products and analytics.
.Monitor platform health, availability, performance, and capacity ensure adherence to SLAs and operational expectations.
.Coordinate platform incident management, root cause analysis, and remediation activities.
.Partner with data engineering teams to support upgrades, patches, configuration changes, and platform enhancements.
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2. Access, Security & Environment Management
.Manage and automate user access, roles, permissions, and entitlements across data platforms in alignment with governance policies.
.Ensure secure and appropriate access for data product teams, engineers, analysts, data scientists, and approved business users.
.Partner with security, compliance, and governance teams to enforce data protection, privacy, and access standards.
.Maintain environment separation (e.g., dev / test / prod) and support controlled promotion and release processes.
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3. Collaboration with Data Product & Delivery Teams
.Work closely with Data Product Managers, Scrum Masters, and Data Engineering teams to support delivery needs.
.Enable timely access, environments, and platform services required for data product development and release.
.Support onboarding of new teams and users onto the enterprise data platform ecosystem.
.Provide clear platform guidance, constraints, and standards to support realistic delivery planning.
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4. Governance, Standards & Controls
.Enforce enterprise standards related to platform usage, configuration, operational controls, and access.
.Support data governance initiatives by ensuring catalog, lineage, quality monitoring, and metadata tools are operational and integrated.
.Help ensure platforms support auditability, traceability, and regulatory compliance requirements.
.Identify and surface operational risks related to platform stability, access, scalability, or misuse.
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5. Monitoring, Reporting & Operational Insights
.Track and report platform metrics such as uptime, performance, incident trends, usage, and access patterns.
.Provide regular operational status updates to data leadership and key stakeholders.
.Identify recurring issues and recommend structural improvements to enhance reliability and efficiency.
.Support continuous improvement of platform operations based on usage trends and feedback.
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6. Platform Maturity & Continuous Improvement
.Contribute to the evolution of platform operational practices and standards across data teams.
.Partner with architecture and engineering teams to support future platform scalability and resilience.
.Improve self-service capabilities where appropriate, while maintaining governance, security, and control.
.Share best practices and lessons learned across platform and operations teams.