Leads enterprise data engineering and analytics delivery across strategic accounts, owning program execution, governance, budgets, technology roadmaps, client relationships, and account growth. Directs cloud and modern data platform architecture across Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Builds global engineering teams, manages senior leaders, drives quality and compliance, and oversees Agile delivery, workforce planning, proposals, and operational performance.
Director of Data Engineering / Delivery Manager
Experience
15+ Years
Location
Flexible / Hybrid
Role Summary
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.
ResponsibilitiesDelivery 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.
QualificationsData 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 New York, New York, USA Office
320 Park Avenue, 29th Floor, New York, NY, United States, 10022
EXL Jersey City, New Jersey, USA Office
Jersey City, United States, 0
EXL Newark, New Jersey, USA Office
Newark, United States
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