VP Architecture – Data Management

🕒 Agosto 19

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $250.000 / ano

⏰ Tempo Integral

🔴 Especialista

🏛️ Arquiteto

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EXL

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏥 Saúde

🛡️ Seguros

📦 Logística

💰 $2.000.000 Venture Round em 2015-01

Healthcare • Insurance • Logistics

Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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