Technical Project Manager – Data & Analytics

TechDoQuest • tampa, fl, United States • 1d ago

Responsibilities

Manage end-to-end delivery of complex data and analytics projects using cloud technologies such as
Snowflake , including data staging pipelines and visualization layers.
Lead fixed-price and COE-based engagements, ensuring scope control, timeline adherence, cost management, and high-quality delivery.
Drive assessment phases to define project scope, detailed timelines, effort estimates, and delivery roadmaps prior to execution.
Develop and maintain detailed Work Breakdown Structures (WBS) that reflect both functional and non-functional requirements, including performance, scalability, security, and load balancing.
Translate data architecture and infrastructure designs into actionable project plans and execution tasks.
Demonstrate a strong understanding of complex data flows, data pipelines, and cloud infrastructure nuances to proactively manage risks and dependencies.
Act as the central coordination point connecting data analysts, data architects, and visualization engineers, ensuring alignment from requirements gathering through production deployment.
Provide hands‑on management of technical teams, tracking deliverables, resolving blockers, and ensuring engineering best practices.
Collaborate closely with client onsite teams, facilitating workshops, status meetings, and executive updates.
Ensure governance, documentation, and adherence to enterprise delivery standards and compliance requirements.
Identify and mitigate technical, delivery, and operational risks throughout the project lifecycle.

Required Qualifications

10+ years of experience as a Technical Project Manager delivering data, analytics, or cloud transformation projects.
Strong understanding of data architecture, data pipelines, and cloud-based analytics platforms (Snowflake experience strongly preferred) .
Proven expertise in creating detailed WBS for complex technical programs.
Experience managing fixed-price and COE engagement models.
Hands‑on experience working with data architects, analysts, and visualization engineers.
Ability to understand and manage end‑to‑end data flows from ingestion to analytics and visualization.
Strong client-facing and stakeholder management skills.
Excellent communication, documentation, and leadership capabilities.

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