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Senior Staff Product Manager - Data Protection

Teradata
IND
Full-time
Onsite
Discovered 3 weeks ago
Product managementData protectionBackup and recoveryDisaster recoveryReplicationCyber resilience

Full Job Posting

Role overview

Lead product strategy and execution for Teradata’s global data protection portfolio, including backup, recovery, replication, disaster recovery, business continuity, and cyber resilience.

Shape enterprise-grade protection for hybrid and multi-cloud deployments, meeting aggressive RTO/RPO targets at petabyte scale while balancing reliability, performance, compliance, and cost.

Responsibilities

  • Drive the data protection and resilience roadmap and deliver measurable customer value.
  • Collaborate with customers, engineering, cloud infrastructure, security operations, governance, field teams, and UX.
  • Define product vision and execution for backup, recovery, and resilience initiatives aligned with business and technical objectives.

Required qualifications

  • Bachelor’s or master’s degree in computer science, engineering, or a related field.
  • 12+ years of product management experience, including 6+ years leading enterprise-scale data protection, backup/recovery, or disaster recovery products, including managed service providers.
  • Demonstrated success embedding resilience capabilities into petabyte-scale enterprise data platforms and improving SLA attainment and recovery confidence.
  • Deep expertise in backup systems, storage, replication, immutable storage, ransomware recovery, DR orchestration, and RPO/RTO optimization.
  • Knowledge of hybrid/multi-cloud architecture, data sovereignty, residency, storage tiering, and cost optimization.
  • Exceptional communication, customer engagement, market analysis, and competitive benchmarking skills.

Technical expertise

  • Expertise includes deduplication, compression, snapshot management, replication topologies, air-gapped storage, and retention design.
  • Platforms include Rubrik, Veeam, Cohesity, Commvault, Zerto, NetBackup, AWS Backup, Azure Backup, and Google Cloud Backup and DR.
  • Protect AI/ML and analytics workloads, including training data, model checkpoints, feature stores, and data pipelines.
  • Understand retention lifecycle management, legal hold, eDiscovery readiness, and compliance schedules for PII, PHI, and PCI.
  • Architect enterprise backup and Agentic AI resilience strategies; anticipate new architectures, AI-driven anomaly detection, and sovereignty mandates.

About Teradata

Teradata’s platform connects and scales on premises, in the cloud, and through hybrid deployments to deliver enterprise intelligence and business value with AI.

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