EXL

SAVP - Director of Data Engineering

EXL  •  New York (Remote)  •  1 day ago
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Job Description

Director of Data Engineering / Delivery Manager

Experience

15+ Years

Location

Flexible / Hybrid

We are seeking an experienced Director of Data Engineering / Delivery Manager to lead large-scale data and analytics programs, drive engineering excellence, and manage delivery across multiple strategic accounts. The ideal candidate will have deep expertise in modern data platforms, cloud technologies, data engineering, stakeholder management, and team leadership.

This role requires ownership of end-to-end delivery, engineering governance, client relationship management, account growth, and building high-performing data engineering teams.

Delivery Leadership

  • Own end-to-end delivery of enterprise data engineering and analytics programs.
  • Ensure projects are delivered on time, within budget, and with high quality.
  • Establish delivery governance, risk management, and execution frameworks.
  • Lead multi-workstream programs involving data platforms, cloud modernization, AI/ML, and analytics initiatives.
  • Drive delivery excellence through Agile and DevOps best practices.

Data Engineering & Technology Strategy

  • Define and execute enterprise data platform roadmaps.
  • Lead architecture decisions across Azure, AWS, GCP, Snowflake, Databricks, Microsoft Fabric, and modern data ecosystems.
  • Drive adoption of scalable data architectures including Lakehouse, Data Mesh, and Data Products.
  • Ensure data quality, governance, security, and compliance standards.
  • Champion innovation in AI, Generative AI, and advanced analytics platforms.

Stakeholder & Client Management

  • Serve as a trusted advisor to senior client executives.
  • Lead executive steering committee meetings and governance reviews.
  • Manage escalations and ensure stakeholder satisfaction.
  • Drive strategic account growth through identification of new opportunities.
  • Collaborate with business, architecture, security, and product teams.

People Leadership

  • Build, mentor, and scale high-performing data engineering teams.
  • Manage Engineering Managers, Architects, Leads, and Data Engineers.
  • Drive workforce planning, hiring, succession planning, and capability development.
  • Foster a culture of innovation, accountability, and continuous learning.
  • Lead onshore and offshore delivery teams.

Financial & Operational Management

  • Own program budgets, forecasting, revenue, and margin targets.
  • Optimize resource utilization and delivery efficiency.
  • Monitor KPIs covering delivery health, engineering productivity, quality, and customer satisfaction.

Support proposal development, solutioning, estimations, and RFP responses.

Data Engineering

  • Enterprise Data Platforms
  • Data Warehousing & Lakehouse Architectures
  • ETL/ELT Frameworks
  • Data Modeling (Star, Snowflake, Dimensional)
  • Streaming & Real-Time Processing
  • Data Governance & Metadata Management

Cloud & Platform Technologies

  • Azure (ADF, ADLS, Synapse, Fabric)
  • AWS
  • GCP
  • Databricks
  • Snowflake
  • Microsoft Fabric

Programming & Engineering

  • Python
  • SQL
  • Spark / PySpark
  • Scala (preferred)
  • CI/CD
  • Azure DevOps
  • GitHub
  • Terraform

Leadership & Delivery

  • Agile Program Delivery
  • Account Management
  • Executive Stakeholder Management
  • Delivery Governance
  • Team Building & Mentoring
  • Strategic Planning

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 15+ years of progressive experience in Data Engineering, Analytics, and Technology Delivery.
  • 5+ years leading enterprise-scale data programs and engineering teams.
  • Experience managing large global delivery teams and strategic client engagements.
  • Cloud certifications (Azure, Databricks, Snowflake, Fabric, AWS) preferred.

Success Metrics

  • Delivery SLA adherence
  • Revenue & Margin Achievement
  • Customer Satisfaction (CSAT)
  • Team Utilization & Retention
  • Platform Modernization Outcomes
  • Quality & Defect Metrics
  • Innovation and Automation Adoption

Account Growth & Expansion

EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
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