GCP Project Manager

1. 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.

2. 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.

3. 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.