AVP-Lead Data Architect
About The Position
The AVP-Lead Data Architect is a strategic leadership role focused on driving enterprise Data & AI transformation. This position requires a blend of account growth, client engagement, delivery ownership, and deep data architecture expertise, particularly leveraging technologies like Informatica, Netezza, Databricks, and modern cloud platforms. The role involves leading end-to-end delivery of Data & AI programs, defining enterprise data strategy, architecting scalable data platforms, and fostering innovation in areas like Agentic AI and GenAI. Additionally, the AVP will be responsible for identifying and developing new opportunities, building trusted relationships with executive stakeholders, and acting as a strategic advisor.
Requirements
- 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
- Strong hands-on and architectural expertise in Netezza, Oracle, PostgreSQL, Snowflake
- Strong hands-on and architectural expertise in Databricks, Spark, PySpark, SQL
- Strong hands-on and architectural expertise in Data Warehousing, ETL/ELT, Data Modeling
- Strong hands-on and architectural expertise in Cloud Data Platforms (Databricks/Azure)
- Strong hands-on and architectural expertise in Data Governance, Data Quality, Metadata & Lineage
- Strong hands-on and architectural expertise in 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.
Responsibilities
- 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.
- 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.
- 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.
- Drive business discovery workshops and transformation roadmaps.
- Manage communications, risks, escalations, and stakeholder expectations.
- Ensure alignment between business objectives and technology solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
