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EXL

Analyzes business data and runs outsourced operations

Assistant Vice President Strategic Accounts AI Growth Consultant

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • 5–8 years of experience in data engineering, cloud data platforms, analytics, or applied AI/ML.
  • Strong hands-on experience with Python and SQL.
  • Strong hands-on experience with data pipelines, including ADF, Airflow, dbt, Glue, Databricks, Snowflake, BigQuery, Redshift, or Synapse.
  • Strong hands-on experience with cloud architecture across Azure, AWS, or GCP.
  • Ability to create architectural diagrams, proofs of concept, and performance-optimized data solutions.
  • Prior experience as a Solutions Architect, Data Architect, or Analytics Pre-Sales Engineer.
  • Ability to craft proposals, present technical solutions, and engage technical and business stakeholders.
  • Ability to articulate complex technical concepts in simple, value-oriented language.
  • Ability to collaborate across time zones with account, delivery, and capability teams.
  • Ability to structure solutions from incomplete or evolving requirements.
  • Experience working with U.S. healthcare clients.

Responsibilities

  • Lead hands-on development of reference architectures, proofs of concept, and solution blueprints across data engineering, cloud data platforms, and applied machine learning.
  • Work closely with onsite Growth Partners to design scalable AI and analytics solutions aligned to client outcomes.
  • Assess client environments, pain points, and business priorities, then translate these into solution architectures and transformation roadmaps.
  • Own the technical components of RFP/RFI responses, solution narratives, cost models, and implementation plans.
  • Build reusable assets, including demos, templates, and frameworks, to accelerate pre-sales cycles.
  • Participate in client workshops, requirements discovery, and technical deep-dives to shape opportunities.
  • Provide hands-on expertise across cloud data ecosystems, modern data stacks, ETL/ELT patterns, and data quality frameworks.
  • Support development of accelerators and internal intellectual property, including data pipelines, MLOps workflows, or analytics modules.
  • Work with engineering and analytics teams to size effort, identify risks, and recommend best-practice implementation patterns.
  • Serve as the offshore partner to U.S.-based Strategic Account Growth Partners.
  • Align on deal strategies, value propositions, and account expansion priorities.
  • Support creation of client-ready materials, including architecture diagrams, impact models, points of view, and technical storytelling artifacts.
  • Ensure solution designs transition smoothly into delivery by providing clarity on architecture, dependencies, and success criteria.
  • Participate in early delivery phases, such as backlog creation, sprint planning, and validation, to ensure solution fidelity.
  • Act as a technical subject matter expert during initial implementation cycles to ensure client satisfaction.

Desired Qualifications

  • Experience with MLOps or model deployment workflows.
  • Exposure to enterprise AI/ML use cases, data governance, or cloud modernization programs.
  • Certifications in Azure, AWS, GCP, or Databricks.

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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