Technical Project Manager

EXLDallas, TX
$130,000 - $145,000Onsite

About The Position

We are seeking an experienced Technical Project Manager to drive execution and delivery of enterprise scale Data & Analytics initiatives. The ideal candidate will have a strong background managing cross functional data engineering, analytics, cloud, and platform modernization programs while ensuring predictable delivery, stakeholder alignment, and operational excellence. This role requires a hands on delivery leader who can work closely with engineering teams, architects, business stakeholders, and client leadership to manage timelines, risks, dependencies, and execution across complex data programs. Execution-focused and highly organized. Strong ownership mentality with attention to detail. Ability to balance technical depth with business priorities. Excellent problem-solving and stakeholder management skills. Comfortable operating in high-visibility client-facing environments.

Requirements

  • 8+ years of experience in Technical Project Management or Program Management.
  • Strong experience managing enterprise Data & Analytics programs.
  • Proven experience driving execution in Agile/Scrum delivery environments.
  • Strong understanding of modern data platforms and cloud ecosystems.
  • Experience managing projects involving: Data Engineering, Data Warehousing, ETL/ELT Pipelines, Business Intelligence & Reporting, Cloud Data Platforms, API/Integration initiatives.
  • Experience coordinating cross-functional technical teams and multiple stakeholders.
  • Strong communication, leadership, and stakeholder management skills.
  • Ability to manage multiple concurrent initiatives in fast paced environments.
  • Experience with project management and collaboration tools such as: Jira, Azure DevOps, Confluence, ServiceNow, Smartsheet / MS Project.
  • Bachelors Degree
  • 9+ Years

Nice To Haves

  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services AWS, or Google Cloud Platform.
  • Exposure to modern data technologies including: Databricks, Snowflake, Microsoft Fabric, Power BI, dbt, Airflow.
  • PMP, Scrum Master, or Agile certifications preferred.
  • Experience working with offshore/onshore delivery models.

Responsibilities

  • Drive end-to-end execution of Data & Analytics projects from initiation through production deployment.
  • Manage delivery of data engineering, cloud, reporting, integration, and analytics workstreams.
  • Coordinate across technical teams including Data Engineers, BI Developers, QA, DevOps, Architects, and Business stakeholders.
  • Track project plans, sprint progress, RAID logs, milestones, dependencies, and deliverables.
  • Lead Agile ceremonies including sprint planning, standups, backlog grooming, retrospectives, and stakeholder reviews.
  • Ensure predictable delivery by proactively identifying blockers, risks, and mitigation plans.
  • Partner with technical leads to align architecture, implementation, and deployment activities.
  • Manage client communication, status reporting, executive updates, and steering committee presentations.
  • Drive accountability across distributed and offshore/onshore teams.
  • Monitor delivery KPIs, resource utilization, budget adherence, and operational efficiency.
  • Support release planning, production readiness, hypercare, and transition to support teams.
  • Collaborate with leadership on delivery governance, process improvements, and delivery standardization.
  • Drive end-to-end delivery execution for enterprise data, analytics, and technology initiatives.
  • Manage project scope, timelines, risks, dependencies, and overall delivery governance.
  • Coordinate across client stakeholders, business teams, engineering teams, and offshore/onshore resources.
  • Lead project planning, status tracking, RAID management, and executive reporting.
  • Facilitate daily standups, steering committee meetings, sprint reviews, and stakeholder discussions.
  • Ensure alignment between business objectives, technical delivery, and program milestones.
  • Monitor resource utilization, budget tracking, and delivery commitments.
  • Identify delivery risks/issues proactively and drive mitigation and resolution plans.
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