Sr. Project Manager (Data Engineering & Banking)
Posted Updated
Description
End-to-End Project Delivery:
Manage project scopes, timelines, budgets, and resource allocation for enterprise-level Data Engineering and Banking technology initiatives. Technical & Strategic Leadership:
Collaborate closely with Data Architects, Data Engineers, and Business Leaders to define project roadmaps, solution architecture strategies, and delivery schedules. Stakeholder Management:
Act as the primary liaison between executive business sponsors, technology partners, and third-party vendors. Risk & Issue Management:
Proactively identify, assess, and mitigate technical, financial, and operational risks across data initiatives. Regulatory & Compliance Oversight:
Ensure project outputs conform to strict banking regulations, data privacy laws (e.g., GDPR, local central bank guidelines), and data governance standards. Financial Accountability:
Own the overall project budget, profit & loss (P&L), financial forecasting, and resource budgeting. Team Leadership & Mentorship:
Lead cross-functional Agile/Scrum teams, conduct retrospectives, and mentor junior PMs and PMO team members. Requirements
Experience:
8+ years in IT project management, with a strong focus on delivering large-scale
Data Engineering
solutions (e.g., Data Warehousing, Big Data, Cloud Data Lakes, Snowflake, Databricks, ETL/ELT). Domain Expertise:
Deep domain knowledge in
Banking / Financial Services
(e.g., Core Banking, Risk Management, Regulatory Reporting, Wealth Management, or Payments). Methodologies:
Expert knowledge of Agile (Scrum/Kanban), SAFe, and traditional Waterfall project management methodologies. Tools:
Expert in Jira, Confluence, MS Project, Advanced Excel, and BI tools (Power BI / Tableau). Certifications (Required/Highly Preferred):
PMP, PMI-ACP, SAFe Agilist, or Certified ScrumMaster (CSM).
End-to-End Project Delivery:
Manage project scopes, timelines, budgets, and resource allocation for enterprise-level Data Engineering and Banking technology initiatives. Technical & Strategic Leadership:
Collaborate closely with Data Architects, Data Engineers, and Business Leaders to define project roadmaps, solution architecture strategies, and delivery schedules. Stakeholder Management:
Act as the primary liaison between executive business sponsors, technology partners, and third-party vendors. Risk & Issue Management:
Proactively identify, assess, and mitigate technical, financial, and operational risks across data initiatives. Regulatory & Compliance Oversight:
Ensure project outputs conform to strict banking regulations, data privacy laws (e.g., GDPR, local central bank guidelines), and data governance standards. Financial Accountability:
Own the overall project budget, profit & loss (P&L), financial forecasting, and resource budgeting. Team Leadership & Mentorship:
Lead cross-functional Agile/Scrum teams, conduct retrospectives, and mentor junior PMs and PMO team members. Requirements
Experience:
8+ years in IT project management, with a strong focus on delivering large-scale
Data Engineering
solutions (e.g., Data Warehousing, Big Data, Cloud Data Lakes, Snowflake, Databricks, ETL/ELT). Domain Expertise:
Deep domain knowledge in
Banking / Financial Services
(e.g., Core Banking, Risk Management, Regulatory Reporting, Wealth Management, or Payments). Methodologies:
Expert knowledge of Agile (Scrum/Kanban), SAFe, and traditional Waterfall project management methodologies. Tools:
Expert in Jira, Confluence, MS Project, Advanced Excel, and BI tools (Power BI / Tableau). Certifications (Required/Highly Preferred):
PMP, PMI-ACP, SAFe Agilist, or Certified ScrumMaster (CSM).