Lead Data Architect

EXL

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

Posted 9/22/2026full-timeSt. Louis • Missouri • United StatesSenior💰 $130,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Data Management, AI, and Enterprise Architecture, with a strong focus on delivering scalable Data Lakehouse and Data Warehouse solutions. Proven ability to lead large transformation programs while ensuring compliance with data governance and regulatory requirements.

Highest-signal resume keywords

Data ManagementInformatica PowerCenterData GovernanceAI/ML SolutionsCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingETL/ELTData ModelingSQLNetezzaOraclePostgreSQLSnowflakeDatabricks

Soft Skills

Stakeholder ManagementStrategic AdvisoryCommunicationRisk ManagementLeadership

Tools & Technologies

Informatica IDMCInformatica IICSDatabricksSparkPySpark

Industry Keywords

BankingFinancial ServicesRiskRegulatory ReportingData Modernization

Tech Stack

Tools & technologies

AzureCloudETLInformaticaOraclePostgresPySparkSparkSQL

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
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 innovation through 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 advisor
Lead proposals, solution presentations, and SOW creation
Drive business discovery workshops and transformation roadmaps
Manage communications, risks, escalations, and stakeholder expectations
Ensure alignment between business objectives and technology solutions

Requirements

What you’ll need

15+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture
Strong hands-on and architectural expertise in Informatica PowerCenter / IDMC / IICS
Expertise in Netezza, Oracle, PostgreSQL, Snowflake
Expertise in Databricks, Spark, PySpark, and SQL
Expertise in data warehousing, ETL/ELT, and data modeling
Experience with cloud data platforms, including Databricks/Azure
Experience with data governance, data quality, metadata, and lineage
Experience with AI/ML, Generative AI, and Agentic AI solutions
Experience leading large transformation programs; $5M+ portfolios preferred
Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries
Bachelor's or master's degree in computer science engineering or a related field