Technology Delivery Lead
Listed on 2026-10-15
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IT/Tech
Data Engineering, IT Project Manager
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.
- 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.
- 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.
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
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