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 (Valuable 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:

Transparent ability to translate technical developer updates into easy business language for managers.

📌 Gcp Project Manager Mumbai
🏢 Tech Mahindra
📍 Mumbai