Technical Project Manager

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

Job summary

EXL is seeking an experienced Technology Manager to lead delivery for Marketing Data Platforms, Data Architecture, and cloud/AI initiatives. You will guide architecture decisions, manage cross-functional teams, and translate business needs into scalable data solutions.

This hybrid, full-time role in Jersey City emphasizes strong communication, governance, and a focus on secure, well-documented data platforms that enable business growth.

Qualifications

• 10–15 years in data engineering, modeling and architecture with Azure focus.
• Strong leadership of data engineers and architects.
• Experience with marketing data concepts and data governance.

Responsibilities

• Lead end-to-end delivery of Marketing Data platform, Integration, Reporting, and Architecture initiatives from intake through production deployment.
• Partner with stakeholders to clarify requirements, define scope, validate priorities, and translate objectives into delivery plans.
• Manage risks, dependencies, timelines, and decisions across cross-functional teams.
• Maintain delivery artifacts including project plans, RAID logs, and release plans.
• Drive sprint planning, backlogs, reviews, and issue-resolution discussions.
• Ensure scalable, secure, well-documented solutions aligned with data governance.
• Provide technical leadership across cloud data platforms, data modeling, pipelines, and downstream reporting.

Skills

Data Engineering

Data Modeling

Data Architecture

Azure

Databricks

Cloud Platforms

Team Leadership

Stakeholder Communication

Tools

Databricks

Job description

Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client's business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence ("AI") and machine learning ("ML"), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquarters in New York, our team is over 73,000+ strong, with more than 50 offices spanning six continents.

Role Name: Technical Project Manager – Data & Marketing Platforms

Location: Jersey City, NJ

Employment Type: Full-Time

Mode – Hybrid (2-3 days from Office)

Job Summary

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.