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EXL

Analyzes business data and runs outsourced operations

Assistant Vice President Data Delivery Manager / Data Architect

Data Management +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 15–20+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture; the posting also states 12–15 years of experience in data engineering or a related field.
  • Strong hands-on and architectural expertise in Informatica PowerCenter, IDMC, and IICS, identified as primary skills.
  • Expertise in PostgreSQL, Snowflake, and PySpark, identified as secondary skills.
  • Expertise in data warehousing, ETL/ELT, and data modeling, identified as primary skills.
  • Expertise in cloud data platforms, including Databricks and Azure, identified as secondary skills.
  • Expertise in data governance, data quality, metadata, and lineage.
  • Experience with Informatica, Oracle, or Netezza is mandatory and identified as primary.
  • A strong background in banking, financial services, risk, regulatory reporting, or similar highly regulated industries.
  • A Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Leadership competencies include executive stakeholder management, large program delivery, solution architecture, mentoring and team development, and commercial and financial management.

Responsibilities

  • Own end-to-end delivery of Data and AI programs across onshore and offshore teams.
  • Manage program 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.
  • 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, generative AI, 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 technology advisor.

Desired Qualifications

  • AI/ML, generative AI, and agentic AI solutions are identified as optional.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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