Sr. Project Manager (Data Engineering & Banking)

Riskdata Consulting; Singapore; On-site; SGD 180,000 - 270,000; Full time

Job summary

Riskdata Consulting in Singapore leads enterprise Data Engineering and Banking technology projects, delivering solutions on time and within budget while complying with regulations.

The role partners with Data Architects, Engineers and Business Leaders to define roadmaps and delivery schedules, mentor Agile teams, and manage budgets, risks, and stakeholder communication for successful outcomes.

Qualifications

• 8+ years of IT project management experience delivering large-scale Data Engineering solutions.
• Deep Banking/Financial Services domain experience.
• Expert knowledge of Agile, SAFe, and Waterfall methods.
• Proficient in Jira, Confluence, MS Project, Excel and BI tools.
• PMP, PMI-ACP, SAFe Agilist, or CSM certification.

Responsibilities

• Manage scopes, timelines, budgets, and resources for enterprise Data Engineering and Banking tech initiatives.
• Collaborate with Data Architects/Engineers and Business Leaders to define roadmaps and delivery schedules.
• Serve as liaison between executives, technology partners, and third-party vendors.
• Identify and mitigate technical, financial, and operational risks.
• Ensure deliverables comply with banking regulations, data privacy laws, and data governance.
• Own project financials, budgeting, forecasting, and profitability.
• Lead and mentor Agile/Scrum teams and support junior PMO members.

Skills

IT project management

Data Engineering

Banking domain knowledge

Agile/Scrum/SAFe/Waterfall

Tools

Jira

Confluence

MS Project

Excel

Power BI

Tableau

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)