Head - Data Engineering & AI-WFO Only | Exp-15+ years | | Immediate Joiner | Loc- Mumbai

Head - Data Engineering & AI

Head - Data Engineering& AI

Key Responsibilities:

Leadership & Strategy

·        Define and own the vision, strategy, and roadmap for enterprise data lake on Azure and BCP for data lake.

·        Lead and mentor high-performing data engineering teams across multiple domains.

·        Drive adoption of modern data architectures (data lake, data mesh, data fabric, or warehouse).

Data Platform & Architecture

·        Architect and oversee scalable, reliable, and secure data pipelines and data platforms.

·        Ensure integration of multiple data sources (structured, semi-structured, and unstructured) into unified, governed data assets.

·        Lead migration and modernization initiatives (e.g., on-prem to cloud, big data platforms).

Data Management, Governance, Compliance

·        Ensure adherence to data quality, metadata management, and master data management practices.

·        Partner with governance teams to implement policies for data security, Regulatory compliance (RBIetc.), and other compliance requirements.

·        Establish monitoring and alerting frameworks for proactive issue detection.

·        Manage enterprise data dictionary

Collaboration & Enablement

·        Collaborate with product, business teams, and other teams and Support the organization’s AI/ML and advanced analytics initiatives through robust data foundations

Performance & Vendor Management

·        Define and track KPIs for data engineering effectiveness, cost optimization, and platform reliability.

·        Manage vendor relationships for data platforms, tools, and services, ensuring alignment with SLAs and business outcomes.

Preferred Qualifications:

ü Bachelor’s/master’s degree in engineeringor equivalent

ü Experience: 15–17 years of progressive experience in data, analytics, and AI, with at least 5 years in a leadership role driving enterprise-level transformation

ü Handson experience with technologies such as Cloud (AWS/Azure/OCI/GCP)

ü Data Tools like Data Bricks, Synapse, Kafka, Snowflake, Azure data Lake, ETL Tools, Talend, Databases etc

ü Strong understanding of data governance, security and regulatory compliance framework.

Mail at gita@laddersuphr.com