Project Manager of Data & Analytics

Quantum Technologies
Dallas, TX, United States
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$170,560
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology JIRA Microsoft Azure Bioinformatics Data Validation Information Engineering Extract Transform Load (ETL) Data Warehousing Scrum Methodology Power BI Cloud Services Microsoft Fabric
+4 more
Data Analytics Semantic Modeling Data Pipelines Databricks

Job description

Looking for one dedicated Project Manager with experience in waterfall and Scrum/Agile delivery methods and in data and analytics development processes. The Project Manager will be responsible for delivering the following services (activities include, but are not limited to, those listed):

  • Own overall project delivery, cadence, schedule, and quality of work products, and align scope and priorities with the Columbia business champion and leadership
  • Develop and maintain the project charter, integrated plan, schedule, and release roadmap using waterfall planning practices, and manage the product backlog and sprint cadence using Scrum/Agile practices
  • Facilitate sprint planning, daily stand-ups, sprint reviews, retrospectives, and steering meetings, and coordinate work across data engineering, reporting, and quality assurance teams
  • Manage risks, assumptions, issues, dependencies, and change requests, and escalate blockers and decisions to the business champion
  • Track progress, hours, and budget, and provide weekly status reports and dashboards to Columbia stakeholders
  • Coordinate testing, user acceptance, release, and cutover activities, and close out the engagement with a hand-off and lessons learned

Requirements

  • Experience managing projects using both waterfall (plan-driven) and Scrum/Agile delivery methods, including hybrid approaches
  • Experience with the data and analytics development lifecycle, including data warehousing, data pipelines (ETL/ELT), semantic modeling, business intelligence reporting, and data validation and reconciliation
  • Familiarity with cloud data platforms such as Azure, Databricks, Microsoft Fabric, and Power BI, and with project and backlog management tools (e.g., Azure DevOps or Jira)
  • Strong stakeholder management, communication, and facilitation skills
  • 2+ years of work experience with Business Intelligence (BI) Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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