Assistant Vice President

EXL

. Own end-to-end delivery of Data & AI programs across onshore and offshore teams .

Posted 10/5/2026full-timePune • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Data Management, Data Engineering, and Enterprise Architecture, with a strong focus on delivering Data & AI programs while ensuring compliance with data governance and regulatory requirements. Proven ability to architect scalable Data Lakehouse and Data Warehouse solutions, drive automation initiatives, and build strategic relationships with executive stakeholders.

Highest-signal resume keywords

Data ManagementData EngineeringEnterprise ArchitectureInformatica PowerCenterData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data LakehouseData WarehouseAI PlatformsETL/ELTData ModelingData QualityMetadata ManagementPostgreSQLSnowflakePySpark

Soft Skills

Stakeholder ManagementCommunicationRisk ManagementLeadership

Tools & Technologies

InformaticaOracleNetezzaDatabricksAzure

Industry Keywords

BankingFinancial ServicesRiskRegulatory Reporting

Tech Stack

Tools & technologies

AzureCloudETLInformaticaOraclePostgresPySpark

About the role

Key responsibilities & impact

Own end-to-end delivery of Data & AI programs across onshore and offshore teams
Manage scope, budget, resource planning, delivery quality, and timelines
Establish governance frameworks, delivery metrics, and operational excellence
Ensure compliance with data governance, risk, security, and regulatory requirements
Drive business discovery workshops and transformation roadmaps
Manage communications, risks, escalations, and stakeholder expectations
Align business objectives with technology solutions
Define enterprise data strategy, architecture, and modernization roadmaps
Architect scalable Data Lakehouse, Data Warehouse, and AI platforms
Drive automation, AI adoption, data quality, metadata management, lineage, and governance initiatives
Champion Agentic AI, GenAI, and intelligent data operations
Identify and develop opportunities in Data Modernization, AI, Analytics, Cloud Migration, and Data Governance
Build trusted relationships with executive stakeholders and act as a strategic technology advisor

Requirements

What you’ll need

Bachelor's or Master's degree in Data Science, Computer Science, or related field
12-15 years of experience in data engineering or related field
15-20+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture
Strong hands-on and architectural expertise in Informatica PowerCenter, IDMC, IICS, PostgreSQL, Snowflake, PySpark, data warehousing, ETL/ELT, data modeling, Databricks, Azure, data governance, data quality, metadata, and lineage
Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries
Expertise in Informatica, Oracle, or Netezza is required
Knowledge of AI/ML, Generative AI, and Agentic AI solutions is optional

Benefits

Comp & perks

Hybrid work arrangement
Full-time employment