Technology Delivery Lead

EXL; Jersey City (NJ); On-site; USD 140,000 - 170,000; Full time

Job summary

EXL in Jersey City, NJ seeks a Technology Delivery Lead with 10–15 years in Data Engineering, Modeling & Architecture, focused on Marketing Data Platforms and cloud-based solutions.

You will lead delivery teams, translate business requirements into scalable architectures, and ensure governance and security across data pipelines and reporting use cases.

Qualifications

• 10–15 years of experience in Data Engineering, Modeling & Architecture with Azure and Databricks.
• Experience with Marketing Data concepts including Customer 360 and MDM.
• Strong communication and leadership of a data engineering/architecture team.

Responsibilities

• Lead end-to-end delivery of Marketing Data platform initiatives from intake through deployment.
• Partner with stakeholders to clarify requirements, define scope, and translate objectives into delivery plans.
• Manage risks, dependencies, decisions, timelines, and tradeoffs across multiple teams.
• Establish and maintain delivery artifacts including project plans, RAID logs, and release plans.
• Drive sprint planning, backlog refinement, and technical reviews.
• Ensure solutions are scalable, secure, governed, and well-documented.

Skills

Data Engineering

Data Modeling

Data Architecture

Azure

Databricks

Team Leadership

Stakeholder Communication

Cloud Platforms

SQL/RDBMS

Tools

Git

GitHub Copilot

Copilot

Claude

Job description

Role: Technology Delivery Lead – Data & Marketing Platforms

Experience: 10-15(max) yrs

Location: Jersey City, NJ

No of Position: 1

Date of Joining: Immediate

This role is seeking an experienced Technology Manager with strong expertise in Marketing Data Platforms, Data Architecture, Solution Architecture, Cloud & AI Technologies, and Team Leadership. This role’s primary responsibilities are leading delivery teams, gathering business and technical requirements, designing scalable and secure cloud-based solutions, and driving end-to-end architecture decisions.

Core Responsibilities:

• Lead end-to-end delivery of Marketing Data platform, Integration, Reporting, and Architecture initiatives from intake through production deployment.
• Partner with business stakeholders to clarify requirements, define scope, validate priorities, and translate objectives into executable delivery plans.
• Manage project risks, dependencies, decisions, timelines, and tradeoffs across business, development, architecture, infrastructure, and operations teams.
• Establish and maintain delivery artifacts including project plans, RAID logs, decision logs, requirements documentation, release plans, and production handoff materials.
• Drive sprint planning, backlog refinement, delivery ceremonies, technical reviews, and issue-resolution discussions.
• Ensure solutions are scalable, secure, supportable, well-documented, and aligned with enterprise data governance standards.
• Provide technical leadership across cloud data platforms, data modeling, data pipelines, integrations, and downstream reporting or activation use cases.

Experience / Skillset Requirements:

• 10 to 15 (max) years of experience in Data Engineering, Data Modeling & Architecture with good foothold in Azure and Databricks
• Worked with Marketing Data and conceptually clear on concepts like Account, Customer, Prospect, Lead, Opportunity, Engagement, Consent etc
• Strong in Customer 360 and MDM concepts with multiple System Integrations.
• Strong Communication and Positive Attitude. Good Problem Solver.
• Lead and manage a team of 5-8 or more Data engineers, architects, and technical specialists.

Category: Responsibilities

Delivery leadership: Planning, Risks, Dependencies, Status, Escalations

Business partnership: Requirements, Scope, Prioritization, Stakeholder Communication

Technical leadership: Azure, Databricks, SQL/RDBMS, Git, Integration patterns, Customer 360/MDM, Data Modeling, Copilot, Claude, Github Copilot

Team leadership: Mentoring, Agile ceremonies, Design reviews