VP Architecture – Data Management

🕒 August 19

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🔴 Lead

🏛️ Architect

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• 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

• 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

• 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