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EXL

Analyzes business data and runs outsourced operations

Savp – Hands-on Tech Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timePittsburgh, PA, USANo salary listedIn-person

About the Job

Requirements

  • Strong hands-on development experience focused on ETL technologies, SQL, and big data technologies.
  • Experience with MongoDB, Kafka, Elasticsearch, and APIs.
  • Experience building data pipelines to load and unload data from NoSQL databases and in-memory caching databases.
  • Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
  • Experience with streaming technologies.
  • Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure, including storage, compute, and database services.
  • At least 10 years of experience in banking, capital markets, or financial consulting, including at least 5 years in a leadership or client-facing role.
  • A proven track record managing multimillion-dollar accounts, driving revenue growth, and leading cross-functional teams.
  • Expertise in technical design discussions and the ability to provide strategic consulting for large-scale engagements.
  • Extensive experience in banking and capital markets, covering trading, risk management, regulatory compliance, and digital transformation.
  • A strong technical foundation with exposure to fintech, data analytics, cloud platforms, and AI-driven solutions.
  • Familiarity with modern technology ecosystems such as AWS, Azure, Google Cloud Platform, Databricks, Snowflake, and emerging AI and machine-learning tools.
  • Ability to manage and lead technical delivery teams, ensuring successful execution of client engagements.
  • Skill in proposal development, technical workflow design, and driving large-scale implementations.
  • Excellent communication and presentation skills, including the ability to translate complex concepts for diverse audiences.
  • Ability to handle multiple engagements simultaneously and balance priorities in a matrixed environment.
  • Strong understanding of Enterprise Data Management solutions and related tools.
  • Ability to adapt methodologies to client needs to deliver value and maintain profitability.
  • Experience mentoring teams and conducting internal training programs.
  • Ability to resolve conflicts effectively and maintain strong client relationships.
  • A bachelor's or master's degree in data science, computer science, or a related field.
  • At least 15 years of experience in data engineering or a related field.

Responsibilities

  • Build and maintain strong relationships with key banking and capital markets clients.
  • Serve as the primary contact for strategic discussions, understand client needs, and identify opportunities for value creation through consultative engagement.
  • Lead development of tailored technical proposals in collaboration with cross-functional teams.
  • Design practical, competitive solutions in data modernization, digital transformation, and fintech integration, aligned with best practices.
  • Monitor account performance and drive growth through upsell and cross-sell opportunities.
  • Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
  • Coordinate advisory, technology, and operations teams to ensure seamless delivery, promote collaboration, resolve interdependencies, and foster knowledge sharing.
  • Stay current on industry trends, regulatory changes, and competitive dynamics.
  • Contribute to thought leadership through client presentations, webinars, and whitepapers.
  • Enable communication between clients, other EXL business units, internal support staff, and multifunctional and multishore project teams.
  • Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.

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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