Data Project Manager - Treasury
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Key skills for this role
About the Role
Key Responsibilities End-to-End Delivery Ownership: Lead the complete lifecycle of data platform delivery, managing the transition from high-velocity design sprints into multi-month, complex engineering and implementation phases.
Key Skills for This Role
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Key Responsibilities
End-to-End Delivery Ownership: Lead the complete lifecycle of data platform delivery, managing the transition from high-velocity design sprints into multi-month, complex engineering and implementation phases.
Stakeholder & Domain Alignment: Partner with business heads, domain owners, and executive data leadership to unpack strategic vision, drive use-case prioritization, and establish organizational buy-in.
Cross-Functional Squad Leadership: Coordinate and steer a hybrid delivery model, ensuring seamless alignment between onsite consulting leadership, client enterprise architecture teams, and offshore engineering pods.
Scope & Roadmapping Strategy: Define and lock down MVP boundaries, manage critical path dependencies, and author robust implementation roadmaps that translate architectural design into concrete business value.
Program Scaling & Expansion: Establish the governance and delivery frameworks required to replicate and scale data platform capabilities beyond the initial domain, driving long-term data monetization across the enterprise.
Required Skills & Experience
Financial Services Domain Mastery: Deep project management experience within Corporate Banking, Wealth Management, or Markets ecosystems, with a strong familiarity with bank-grade security, data sovereignty, and financial regulatory landscapes.
Technical Data Acumen: Proven track record of successfully delivering large-scale data programs, including modern Cloud Data Lakes, Data Warehouses, and Data Product architectures (specifically across Azure, Databricks, or Cloudera environments).
Enterprise-Scale Governance: Strong execution knowledge of data governance principles, master data management (MDM), data quality frameworks, and enterprise data cataloging workflows.
Strategic Longevity: Demonstrated success in holding multi-phase, long-term programs together, navigating the shift from abstract conceptual design to hard physical software deployment while maintaining velocity and stakeholder trust.
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