Job Title: Technical Project Manager

Location: Stamford CT

Employment Type: Contract

Workplace Mode: Onsite

Job ID: DFZ-

About DataFactZ

DataFactZ is a data and analytics consulting company headquartered in Northville, Michigan, with delivery teams in the United States and India. For more than two decades, we've helped organizations turn their data into better decisions through data engineering, cloud data platforms on Azure, AWS, and Google Cloud, business intelligence and visualization, advanced analytics, and AI. Our consultants work on high-impact programs for fortune 500 clients, and we invest in their growth through certifications, hands-on learning, and meaningful work. Curiosity drives everything we do.

Job Summary: Seeking a highly organized and execution-focused Technical Project Manager to lead a strategic enterprise initiative from planning through delivery.

Key Responsibilities:

Own end-to-end project execution across business and technical teams.
Drive daily standups, sprint planning, backlog grooming, and stakeholder reviews.
Manage Jira boards, user stories, epics, dependencies, and delivery milestones.
Maintain project plans, RAID logs, action items, and executive status reporting.
Capture meeting notes, document decisions, and drive accountability across teams.
Coordinate architects, engineers, product owners, and business stakeholders.
Identify delivery risks early and proactively remove roadblocks.
Ensure alignment between business objectives and technical execution.

Required Skills:

Strong SQL experience with the ability to understand data flows, data quality issues, and technical discussions.
Hands-on experience with Kiro and modern AI-assisted development environments.
Deep experience managing enterprise software, data, AI, or cloud transformation projects.
Excellent communication, stakeholder management, and executive presentation skills.
Strong knowledge of Agile/Scrum methodologies and Jira.
Proven ability to take ownership, drive execution, and deliver results in fast-paced environments.
ML terminology basics is a plus.

Ideal Candidate:

A highly accountable leader who can operate independently, bring structure to complex initiatives, hold teams accountable, and serve as the connective tissue between business leadership and technical delivery teams.

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