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.