Location – Offshore, any location#

Summary - A Data Strategy Lead with strong expertise across:

· Observability ecosystems and enterprise systems.

· AI-driven automation and self-healing platforms

Role and Responsibilities

· Lead design of enterprise observability data layer (data lake / data hub) for unified telemetry o Define and implement a scalable common data layer (data lake / data hub) for observability o Design up-to-date data architecture including:

o Real-time analytics layer (hot data)

o Historical and ML data layer (cold data)

o Establish data models, schemas, and standards to unify telemetry across systems o Enable structured, semi-structured, and streaming data integration

· Implement data governance, quality, lineage, and security frameworks

· Enable AI-ready data foundation for anomaly detection, RCA, and agentic workflows

· Design data architecture supporting real-time decisioning and autonomous remediation





· Define architect for real-time and batch data pipelines (streaming ingestion, processing, storage)

· Define data models and schema standards for ERP, applications, and infrastructure telemetry

· Collaborate with platform teams to ensure monitoring, tracing, and optimisation of data pipelines

· Integrate with observability tools and ERP systems (S/4HANA, AppDynamics, Dynatrace, Signavio, Telegraf, SAP BTP Integration Suite etc.)

· Enable closed-loop data flows to support self-healing and intelligent automation o Design data flows enabling:

§ Anomaly detection and alerting

§ AI-assisted root cause identification

§ Automated remediation workflows o Support closed-loop observability, where outcomes are fed back into the system as telemetry o Enable human-in-the-loop (HITL) controls for governed automation

📌 Data strategy and Observability (Bengaluru)
🏢 TalentOla
📍 Bengaluru