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
Required Skills & Experience:
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)