Assistant Vice President

Job Description AVP – Data Delivery Manager | Data Architect Role Summary We are seeking a senior Data delivery leader/architect who can drive client engagement, solution architecture, and delivery management for large-scale enterprise transformation programs. The ideal candidate will have deep expertise in Informatica, Netezza, Databricks, Cloud Data Platforms, AI, Analytics, and Data Modernization, coupled with a proven track record of growing strategic accounts and delivering complex data initiatives. 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. • Drive business discovery workshops and transformation roadmaps. • Manage communications, risks, escalations, and stakeholder expectations. • Ensure alignment between business objectives and technology solutions. 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. 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 technology advisor. Required Skills & Experience • 15-20+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture. • Strong hands-on and architectural expertise in: • Informatica PowerCenter / IDMC / IICS – Primary • PostgreSQL, Snowflake, Pyspark - Secondary • Data Warehousing, ETL/ELT, Data Modeling – Primary • Cloud Data Platforms (Databricks/Azure) - Secondary • Data Governance, Data Quality, Metadata & Lineage- • AI/ML, Generative AI, Agentic AI solutions-Optional • Informatica / Oracle / Netezza ( Must) - Primary • Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries. Leadership Competencies • Executive Stakeholder Management • Large Program Delivery • Solution Architecture • Mentoring & Team Development • Commercial & Financial Management Success Measures • Client satisfaction and retention • On-time, on-budget delivery & data architecture • Successful modernization and AI adoption outcomes • Team capability and leadership effectiveness Ideal Candidate: A strategic leader capable of seamlessly combining Client Engagement, Delivery Ownership, and Data Architecture while driving enterprise Data & AI transformation leveraging Informatica, Netezza, Databricks, and modern cloud platforms 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. • Drive business discovery workshops and transformation roadmaps. • Manage communications, risks, escalations, and stakeholder expectations. • Ensure alignment between business objectives and technology solutions. 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. 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 technology advisor. Required Skills & Experience • 15-20+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture. • Strong hands-on and architectural expertise in: • Informatica PowerCenter / IDMC / IICS – Primary • PostgreSQL, Snowflake, Pyspark - Secondary • Data Warehousing, ETL/ELT, Data Modeling – Primary • Cloud Data Platforms (Databricks/Azure) - Secondary • Data Governance, Data Quality, Metadata & Lineage- • AI/ML, Generative AI, Agentic AI solutions-Optional • Informatica / Oracle / Netezza ( Must) - Primary • Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries. Leadership Competencies • Executive Stakeholder Management • Large Program Delivery • Solution Architecture • Mentoring & Team Development • Commercial & Financial Management Success Measures • Client satisfaction and retention • On-time, on-budget delivery & data architecture • Successful modernization and AI adoption outcomes • Team capability and leadership effectiveness Ideal Candidate: A strategic leader capable of seamlessly combining Client Engagement, Delivery Ownership, and Data Architecture while driving enterprise Data & AI transformation leveraging Informatica, Netezza, Databricks, and modern cloud platforms Bachelor's or Master's degree in Data Science, Computer Science, or related field. 12-15 years of experience in data engineering or related field.