VP Architecture – Data Management

EXL

VP leading enterprise data architecture, governance, engineering, and AI solutions at EXL. Managing client delivery, growth, technical teams, and Data Management capabilities.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesLead💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Enterprise Data Management, including data architecture, governance, and analytics, while effectively leading client engagements and managing cross-functional teams. Proficient in leveraging cloud technologies and AI-driven solutions to enhance data strategies and drive business outcomes.

Highest-signal resume keywords

Enterprise Data ManagementData ArchitectureCloud ArchitectureSnowflakeDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Transformation MappingData GovernanceETLData WarehousingAPI ConstructsBig Data Best PracticesSDLCPerformance OptimizationData Pipeline Automation

Soft Skills

Strong CommunicationGroup FacilitationLeadership SupportClient LiaisonCoaching

Tools & Technologies

AWSAzureGoogle CloudHadoopDevOpsData Management ToolsGenerative AI TechniquesCost Management ToolsMonitoring ToolsAccess Management

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Data Governance/QualityMaster Data ManagementCloud SecurityData Analytics SolutionsAI ReadinessResponsible AI PracticesClient EngagementRevenue GoalsCross-Selling SolutionsThought Leadership

Tech Stack

Tools & technologies

AWSAzureCloudETLHadoopSDLC

About the role

Key responsibilities & impact

Lead requirements, data modeling, data movement, transformation mapping, automation, testing, and solution design aligned to enterprise data standards
Oversee large, complex Enterprise Data Management projects across data platforms and architecture, governance, quality, engineering, reporting, analytics, and visualization
Select fit-for-purpose technologies and shape client solution visions
Lead technical delivery at any stage of a project
Manage key clients with Sales, Vertical Leads, and Engagement Managers to meet revenue goals, ensure satisfaction, grow services, and cross-sell solutions
Serve as primary liaison for client sponsors and represent the client voice within EXL
Map client needs to products, services, and custom solutions; lead solutioning
Partner with Sales on expansion, upselling, new solutions, proposals, RFPs, cost estimates, TCO, resource plans, and product demonstrations
Plan and execute client data strategies, evaluate data management tools, and manage vendor relationships
Facilitate Data Management meetings and workshops and resolve business and data questions
Coordinate project planning, analyze feasibility, scope projects, and prioritize deliverables
Grow EXL Data Management capabilities through best practices, new offerings, thought leadership, sales support, and coaching
Develop generative-AI thought leadership and techniques
Manage direct team members, provide leadership support and coaching, and support recruiting through interviews and hiring feedback

Requirements

What you’ll need

Bachelor's Degree
15+ years of Enterprise Data Management experience
10+ years of consulting experience strongly preferred
7+ years of experience working collaboratively and/or leading global teams
Experience with Snowflake and Databricks for large-scale data and analytics solutions
Knowledge of implementation best practices and reference architectures
Cloud architecture and implementation focused on Data Management and repeatable patterns
Experience with cloud security, access management, networking, monitoring, DevOps, and cost management
Design and implementation experience in Data Architecture, Data Engineering, Data Governance/Quality, MDM, Cloud Architecture, or related pillars
Experience with a programming or scripting language and performance optimization
In-depth understanding of API constructs
Experience with Big Data best practices and the Hadoop technology stack
Experience implementing streaming or messaging technologies
Understanding of ETL, ELT, CDC, data warehousing, data marts, pipeline orchestration, and enterprise scheduling
Strong SDLC knowledge, including CI/CD, data pipeline automation, and deployment strategies
Experience working across business and IT functions, corporate cultures, and centralized/federated structures
Strong communication, interviewing, and group facilitation skills
Expertise with AWS, Azure, Google Cloud, Snowflake, and Databricks
Knowledge of agentic and generative AI patterns, including RAG, semantic search, vector stores, knowledge graphs, and enterprise knowledge bases
Ability to design secure, governed, auditable data architectures for AI agents and authoritative data access
Experience with AI-enabled data quality, metadata enrichment, lineage discovery, anomaly detection, and pipeline remediation
Understanding of responsible AI practices, including guardrails, evaluation, human review, observability, cost management, and traceability
Ability to advise clients on AI readiness, governance maturity, data quality, operating models, and high-value use cases
Ability to travel for client engagements

Benefits

Comp & perks

Most work is remote using collaboration and video tools
Occasional early or late meetings accommodated for multi-shore teams
High-visibility projects with measurable client impact
Professional development through training, documentation, delivery methodology improvements, thought leadership, and coaching
Some U.S. client-site travel opportunities/requirements