Data PM ( DATA Treasury Squad)

Position Overview
We are seeking a Data Project Manager to champion the delivery of our strategic data initiative.
This role acts as the primary bridge between business executive leadership, domain
stakeholders, and technical delivery squads. The Data Project Manager will take complete
ownership of a high-profile data platform journey- driving it from its initial architectural blueprint
phase through to large-scale physical implementation, and subsequently leading its strategic
expansion into new business domains across the enterprise.
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.