Sr. Project Manager (Data Engineering & Banking)

RISKDATA CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RISKDATA CONSULTING PTE. LTD. seeks an experienced Senior Project Manager to lead enterprise-level Data Engineering and Banking technology projects. You will manage scopes, timelines and budgets while ensuring regulatory compliance and data governance across all workstreams.

You will collaborate with Data Architects, Engineers and Business Leaders to shape roadmaps, liaise with sponsors and vendors, and mentor cross-functional teams in Agile environments to deliver on time and within budget.

Qualifications

• 8+ years of IT project management delivering large-scale Data Engineering solutions (Data Warehousing, Big Data, Cloud Data Lakes, Snowflake, Databricks).
• Deep domain expertise in Banking/Financial Services including Core Banking, Risk Management, Regulatory Reporting, Wealth Management, or Payments.
• Expert knowledge of Agile (Scrum/Kanban), SAFe, and traditional Waterfall project management.
• Proficiency in Jira, Confluence, MS Project, Advanced Excel, and BI tools like Power BI or Tableau.
• Certifications: PMP, PMI-ACP, SAFe Agilist, or Certified ScrumMaster (CSM).

Responsibilities

• Manage project scopes, timelines, budgets, and resource allocation for enterprise Data Engineering and Banking technology initiatives to ensure successful end-to-end delivery
• Collaborate with Data Architects, Data Engineers, and Business Leaders to define project roadmaps, solution architecture strategies, and delivery schedules aligned with business goals
• Serve as the primary liaison between executive business sponsors, technology partners, and third-party vendors to facilitate clear communication and alignment
• Identify, assess, and mitigate technical, financial, and operational risks proactively to minimize project disruptions
• Ensure all project deliverables comply with banking regulations, data privacy laws (e.g., GDPR, local central bank guidelines), and data governance standards
• Own project financials including budget management, profit & loss accountability, financial forecasting, and resource budgeting to maintain fiscal discipline
• Lead and mentor cross-functional Agile/Scrum teams, conduct retrospectives, and support the professional growth of junior project managers and PMO members

Skills

IT project management

Stakeholder collaboration

Agile (SAFe, Scrum)

Risk management

Leadership & mentoring

Tools

Jira

Confluence

MS Project

Power BI

Tableau

Snowflake

Databricks

Job description

Job Summary

Manage and lead enterprise-level Data Engineering and Banking technology projects, delivering solutions on time and budget while ensuring compliance with regulations. Collaborate with stakeholders and mentor teams to drive successful project outcomes.

Responsibilities

• Manage project scopes, timelines, budgets, and resource allocation for enterprise Data Engineering and Banking technology initiatives to ensure successful end-to-end delivery
• Collaborate with Data Architects, Data Engineers, and Business Leaders to define project roadmaps, solution architecture strategies, and delivery schedules aligned with business goals
• Serve as the primary liaison between executive business sponsors, technology partners, and third-party vendors to facilitate clear communication and alignment
• Identify, assess, and mitigate technical, financial, and operational risks proactively to minimize project disruptions
• Ensure all project deliverables comply with banking regulations, data privacy laws (e.g., GDPR, local central bank guidelines), and data governance standards
• Own project financials including budget management, profit & loss accountability, financial forecasting, and resource budgeting to maintain fiscal discipline
• Lead and mentor cross-functional Agile/Scrum teams, conduct retrospectives, and support the professional growth of junior project managers and PMO members

Required competencies and certifications

• 8+ years of IT project management experience focused on delivering large-scale Data Engineering solutions such as Data Warehousing, Big Data, Cloud Data Lakes, Snowflake, Databricks, and ETL/ELT
• Deep domain expertise in Banking / Financial Services including Core Banking, Risk Management, Regulatory Reporting, Wealth Management, or Payments
• Expert knowledge of Agile (Scrum/Kanban), SAFe, and traditional Waterfall project management methodologies
• Proficiency in Jira, Confluence, MS Project, Advanced Excel, and BI tools like Power BI or Tableau
• Certifications: PMP, PMI-ACP, SAFe Agilist, or Certified ScrumMaster (CSM)