Treasury Project Manager

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Treasury Project Manager position plans, governs, and executes technology and data transformation projects within corporate treasury and banking environments. Positioned at the intersection of treasury operations, data architecture, and enterprise software delivery, this role drives multi-stream delivery workflows—including core treasury management system (TMS) implementations, liquidity platform upgrades, regulatory reporting data pipelines, and historical treasury data migrations.The role functions through two primary operational lenses:Treasury Transformation Focus: Governing full-lifecycle system upgrades, platform consolidations, and operational change across treasury, cash management, liquidity, and trading applicationsData & Migration Focus: Governing enterprise data architecture alignment, ETL/ELT pipeline deployment, schema mapping, and data migration execution across treasury data lakes and legacy core systemsRegardless of focus stream, the position serves as the central operational bridge between business treasury stakeholders, quantitative analysts, data engineering squads, and enterprise IT leads, ensuring that system integrations and data migrations are executed with zero data loss, operational continuity, and strict regulatory alignment.Responsibilities2. Treasury Data Migration & Integration Management3. Risk, Regulatory & Domain Control4. Stakeholder Orchestration & Vendor Oversight Project Planning, Governance & DeliveryLifecycle Oversight: Construct and maintain multi-tier project plans, work breakdown structures, scope baselines, and execution roadmaps across Agile, Waterfall, or hybrid delivery frameworksScope & Financial Governance: Monitor, control, and report on project scope, financial baselines, resource utilization, and change request procedures to prevent scope creep and budget variancesGovernance Reporting: Produce executive status reporting, performance metrics, and audit-ready project documentation aligned with institutional governance standardsData Migration Execution: Direct the end-to-end data migration lifecycle for treasury platforms—encompassing historical trade, cash flow, position, and market data extraction, cleansing, transformation, schema mapping, and cutover reconciliationParallel-Run & Reconciliation Frameworks: Establish dual-run procedures, automated reconciliation scripts, and contingency fallback pathways to verify zero information loss and service continuity during cutoversTarget System Integration: Oversee technical integration touchpoints between enterprise Treasury Management Systems (e.g., FIS Quantum, Murex, Calypso, Kyriba), core banking ledgers, market data feeds (Bloomberg/Refinitiv), and downstream analytics platformsBanking RAID Management: Maintain continuous risk management procedures to identify, document, and neutralize banking-specific Risks, Assumptions, Issues, and Dependencies (RAID)—including valuation anomalies, data integrity gaps, and reconciliation failuresRegulatory Compliance Frameworks: Ensure project architecture, security protocols, and data workflows conform to international and local financial mandates (e.g., Basel III/IV, IFRS 9, ALM, IBOR transition, and Central Bank data sovereignty laws)Data Lineage & Audit Readiness: Enforce end-to-end data lineage tracking and audit logging across active and historical treasury datasets to satisfy compliance and internal audit reviewsCross-Functional Alignment: Facilitate structural communication and decision-making across Executive Sponsors, Treasury Business Leads, IT Architects, Risk Officers, and Engineering SquadsThird-Party Vendor Management: Manage technical delivery deliverables, contract milestones, and service level agreements (SLAs) for external treasury software vendors and integration partnersAs an AI consultancy, our greatest asset is the expertise of our people.While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.RequirementsWe need you to have:A solid functional understanding of core treasury operations, including cash management, liquidity planning, asset-liability management (ALM), FX risk, or trade processing workflowsPractical capability to govern complex data migration strategies, schema mapping, historical data cleansing, dual-run testing, and cutover reconciliationThe ability to evaluate data architectures, relational/SQL structures, integration patterns (APIs, ETL/ELT pipelines), and system interface specificationsA demonstrated ability to manage, control, and baseline project scope, financial budgets, resource allocations, and change requests in high-stakes banking environmentsWorking knowledge of banking compliance standards, data privacy mandates (PII), and regulatory reporting requirements applicable to treasury operationsOperational mastery of software development life cycle (SDLC) models and project governance frameworks (PMP, PRINCE2, Agile/Scrum)Significant experience working within financial services, corporate banking, or capital markets environments on central IT, data, or treasury transformation projectsProven history governing large-scale system implementations, platform consolidations, or enterprise data migration programsHold a Bachelor's degree in Computer Science, Information Systems, Finance, Quantitative Economics, or a related discipline (or equivalent practical experience)It would also be beneficial if you have:Professional experience operating within a consultancy or professional services capacity, managing client-facing delivery and cross-functional project teamsA formal certification in recognised project management methodologies (PMP, PRINCE2, PMI-ACP, or CSM)BenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.