Data Architect

EXL; Missouri; On-site; USD 180,000 - 280,000; Full time

Job summary

EXL is seeking a senior Data & AI delivery leader/architect to drive large-scale enterprise transformations, delivering end-to-end programs across onshore and offshore teams. You will shape data strategy, modernize data platforms, and champion AI adoption while managing governance, risk, and stakeholder expectations at the executive level.

With 15+ years in data management, analytics, and architecture, you will grow strategic accounts, lead complex initiatives in regulated industries, and guide

Qualifications

• 15+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture.
• Hands-on and architectural expertise in Databricks, Spark, PySpark, and SQL.
• Proven track record growing strategic accounts and delivering large, regulated data programs.
• Experience in Banking/Financial Services or similarly regulated industries is preferred.

Responsibilities

• Own end-to-end delivery of Data & AI programs across onshore and offshore teams.
• Define enterprise data strategy, architecture, and modernization roadmaps.
• Identify opportunities in Data Modernization, AI, Analytics, and Cloud Migration.
• Build trusted relationships with executive stakeholders and act as a strategic advisor.
• Lead proposals, SOWs, and governance frameworks to ensure on-time delivery.

Skills

Databricks

Spark

PySpark

SQL

Data Warehousing

ETL/ELT

Data Modeling

AI/ML

Generative AI

Agentic AI

Executive Stakeholder Management

Strategic Consulting & Advisory

Large Program Delivery

Account Management & Revenue Growth

Job description

We are seeking a senior Data & AI delivery leader/architect who can drive account growth, client engagement, solution architecture, and delivery management for large-scale enterprise transformation programs. The ideal candidate will have deep expertise in Informatica, Netezza, Databricks, Cloud Data Platforms, AI, Analytics, and Data Modernization, coupled with a proven track record of growing strategic accounts and delivering complex data initiatives.

Key Responsibilities

Data Delivery Leadership

• 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.

Solution Architecture & Innovation

• 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.

Account Growth & Client Relationship Management

• 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, SOW creation

Engagement Leadership

• Drive business discovery workshops and transformation roadmaps.
• Manage communications, risks, escalations, and stakeholder expectations.
• Ensure alignment between business objectives and technology solutions.

Required Skills & Experience

• 15+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture.
• Strong hands-on and architectural expertise in:
• Databricks, Spark, PySpark, SQL
• Data Warehousing, ETL/ELT, Data Modeling
• AI/ML, Generative AI, Agentic AI solutions
• Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries.
• Account Management & Revenue Growth
• Executive Stakeholder Management
• Strategic Consulting & Advisory
• Large Program Delivery

Success Measures

• Revenue and account growth
• Client satisfaction and retention
• Successful modernization and AI adoption outcomes
• Team capability and leadership effectiveness