GCP Project Manager

Basic Technical Knowledge (Must Understand, Not Code): Google Cloud: Understands how BigQuery stores data and knows the purpose of Dataflow/DataProc. Data Pipelines: Knows how data moves via ETL tools. Automation: Understands that PySpark or PL/SQL scripts schedule and automate data flows. Reporting Tools: Knows how Power BI or Qlik dashboards deploy reports to business users. Agile Software: High proficiency using Jira (backlogs/epics), Jenkins, or Bitbucket to track tasks.
Business & System Knowledge (Good to have): Main Systems: Has managed projects extracting data from systems like SAP, Salesforce, and Dealer Management Systems (DMS). Sales Metrics: Understands terms like sales pipeline, conversion rates, and CRM data. Finance Metrics: Understands revenue tracking, cost reconciliation, and financial auditing needs. Customer Experience: Understands service turnaround times, CSAT, and NPS scores.
Required Work Experience (Must): Data Focus: Has led at least 1 large data warehouse, Lakehouse, or analytics projects from start to finish. Agile Leadership: Has 3 to 5 years of Scrum Master or PMO experience running data teams. Mixed Teams: Experience managing Data Engineers, Modelers, and Dashboard Developers simultaneously. Complex Migrations: Proven experience moving data from older, heavy systems (like SAP) into cloud platforms. The Translator Role: Clear ability to translate technical developer updates into simple business language for managers.