Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.
Role: Data Architect / Data Delivery Manager
Location: St. Louis (Mandatory)
Ideal Candidate: A 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 platforms
Leadership Competencies
- Account Management & Revenue Growth
- Executive Stakeholder Management
- Strategic Consulting & Advisory
- Large Program Delivery
- Solution Architecture
- Mentoring & Team Development
- Commercial & Financial Management
Success Measures
- Revenue and account growth
- Client satisfaction and retention
- On-time, on-budget delivery & data architecture
- Successful modernization and AI adoption outcomes
- Team capability and leadership effectiveness
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.
- 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
- Netezza, Oracle, PostgreSQL, Snowflake
- Databricks, Spark, PySpark, SQL
- Data Warehousing, ETL/ELT, Data Modeling
- Cloud Data Platforms (Databricks/Azure)
- Data Governance, Data Quality, Metadata & Lineage
- AI/ML, Generative AI, 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.
Bachelors or masters degree in computer science engineering, or a related field.
Base Compensation Range: $130,000-150,000
- The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
EXL (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. For more information, visit www.exlservice.com.
EXL New York, New York, USA Office
320 Park Avenue, 29th Floor, New York, NY, United States, 10022
EXL Jersey City, New Jersey, USA Office
Jersey City, United States, 0
EXL Newark, New Jersey, USA Office
Newark, United States
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