Job Description (JD) – Data & Analytics Center of Excellence (CoE) Lead

Role Overview
The Data & Analytics CoE Lead will establish, scale, and govern the Center of Excellence across data strategy, architecture, engineering, BI/visualization, advanced analytics, and AI/ML enablement. The role partners closely with Sales, Pre-Sales, Delivery, and Customer stakeholders for requirement discovery, solution design, delivery, post-implementation support, and measurable business outcomes. The Lead reports to Business Head and is accountable for capability building, pipeline growth, execution excellence, ROI and Customer relationship.
CoE Scope & Technology Landscape
Data Platforms: Azure (Synapse/Fabric), AWS (Redshift/Glue), GCP (BigQuery/Dataproc); contemporary DWHs (Snowflake, Databricks).
Data Engineering: ETL/ELT, streaming (Kafka/Kinesis), orchestration (Airflow/Azure Data Factory), Lakehouse patterns.
Data Governance: Catalog/lineage (Purview/Collibra), stewardship, data quality frameworks, privacy/security controls.
BI & Reporting: Power BI, Tableau, Looker; semantic models,



metrics layers, self-service enablement.
Advanced Analytics & AI/ML: ML lifecycle (feature stores, MLOps, monitoring/drift, retraining), NLP, forecasting, optimization.
FinOps & Cost Management: workload sizing, tiering, and optimization for cloud data platforms.

Key Responsibilities
Strategic Leadership:
A CoE Lead isn’t just managing teams; they’re building frameworks, governance models, and best practices from the ground up.”
Prior leadership in setting up Data & Analytics CoEs is highly desirable.
Driving GTM Strategy

CoE Strategy & Governance
Define CoE charter, operating model, design authority, and governance cadences; set standards and guardrails.
Publish reference architectures, data product templates, accelerators, and best practices.
Institutionalize policies for data quality, privacy (PII), security, and compliance (e.g., ISO/ SOC/ GDPR-aligned).

Sales & Pre-Sal

📌 Coe Lead Navi Mumbai
🏢 3i Infotech
📍 Navi Mumbai