Data Architect

Data Architect / Data Delivery ManagerA strategic leader capable of seamlessly combining Account Growth, Client Engagement, Delivery Ownership, and Data Architecture while driving enterprise Data & AI transformation leveraging Informatica, Netezza, Databricks, and modern cloud platformsSt. Louis (Mandatory)Leadership CompetenciesAccount Management & Revenue GrowthExecutive Stakeholder ManagementStrategic Consulting & AdvisoryLarge Program DeliverySolution ArchitectureMentoring & Team DevelopmentCommercial & Financial ManagementSuccess MeasuresRevenue and account growthClient satisfaction and retentionOn-time, on-budget delivery & data architectureSuccessful modernization and AI adoption outcomesTeam capability and leadership effectivenessKey ResponsibilitiesData Delivery LeadershipOwn 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 & InnovationDefine 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 ManagementIdentify 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 creationEngagement LeadershipDrive business discovery workshops and transformation roadmaps.Manage communications, risks, escalations, and stakeholder expectations.Ensure alignment between business objectives and technology solutions.Qualifications15+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture.Strong hands-on and architectural expertise in:Informatica PowerCenter / IDMC / IICSNetezza, Oracle, PostgreSQL, SnowflakeDatabricks, Spark, PySpark, SQLData Warehousing, ETL/ELT, Data ModelingCloud Data Platforms (Databricks/Azure)Data Governance, Data Quality, Metadata & LineageAI/ML, Generative AI, Agentic AI solutionsExperience leading large transformation programs ($5M+ portfolios preferred).Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries.Bachelors or masters degree in computer science engineering, or a related field.Base Compensation Range: $130,000-150,000About UsEXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents.