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Technical Project Manager 2026 - US

πŸ•’ yesterday
Project ManagementData AnalyticsData EngineeringDecision Sciences

πŸ“œ Description

  • Become a trusted advisor working with clients from data owners to C-level executives.
  • Manage a diverse set of projects extending across multiple disciplines.
  • Serve as the primary client-facing lead for project planning, delivery, risk management, and communication.
  • Own project governance, including status reporting, issue/risk escalation, and stakeholder engagement.
  • Support a variety of projects and showcase best practices within the PMO.

πŸ› οΈ Requirements

  • CAPM or PMP certified preferred; CSM, SAFe, or equivalent Agile certifications a plus. Demonstrated proficiency across Hybrid, Waterfall, and Agile methodologies with the ability to select and tailor the right framework for each engagement
  • Working knowledge of the modern data ecosystem, including cloud data platforms (Snowflake, Databricks, GCP/BigQuery), data pipelines, and data warehousing concepts, sufficient to engage credibly with data engineers, architects, and data scientists
  • Experience managing data migration and platform modernization engagements, including planning for data validation, cutover activities, and coordination between legacy and target environments
  • Familiarity with AI and machine learning project delivery, including the iterative and experimental nature of model development, proof-of-concept phases, and the path from pilot to production
  • Experience supporting data analytics engagements end to end, including discovery, requirements gathering, KPI and metric definition, and coordination of dashboard development in tools such as Tableau, Power BI, or Looker
  • Strong stakeholder management and communication skills, including experience translating technical data concepts for executive audiences and delivering executive-level reporting
  • Ability to define project scope, goals, deliverables, and success criteria in collaboration with both client stakeholders and technical delivery teams
  • Experience developing detailed project plans, timelines, resource allocations, and budgets, including estimation for data and analytics workstreams
  • Expertise in scope, risk, dependency, timeline, and resource management across cross-functional teams of data engineers, analysts, and data scientists
  • Skilled in navigating ambiguity, managing evolving client requirements, and maintaining delivery momentum under pressure
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