Project Delivery Manager

ProjectPlanning & Execution ●Collaborate with business, product, data, AI and engineering, architecture, andQA teams to define project scope, objectives, deliverables, dependencies, datarequirements, and success criteria, including model performance, quality, andadoption measures. ●Develop and maintain comprehensive project plans, schedules, resourceallocation, and milestone tracking. ●Manage the full project lifecycle from initiation and proof of concept throughpilot, production deployment, transition to operations, and project closure. ●Monitor project progress against scope, schedule, and key deliverables including data readiness, model developmentand evaluation, integration, and testing milestones — ensuring timely andhigh-quality delivery. ●Coordinate project change requests and assess their impact on project scope,timeline, cost, and resources, allowing for the iterative and experimentalnature of AI development or digital media delivery. AIDelivery Management ●Work with business owners and technical teams to translate AI use cases intodeliverable scope, with clear hypotheses, evaluation criteria, and go or no-gocheckpoints between proof of concept, pilot, and production. ●Track data dependencies - dataavailability, quality, access approvals, and licensing — and escalate earlywhere they place delivery or model performance at risk. ●Coordinate model evaluation and user acceptance activities with business andtechnical stakeholders, ensuring agreed accuracy, safety, and performancethresholds are met before production release. ●Ensure AI solutions are assessed for data privacy, security, intellectualproperty, bias, and human oversight requirements, and that the requiredapprovals are documented before deployment. ●Manage expectations on AI outcomes, communicating clearly where results areexploratory, where confidence is limited, and where further data or iterationis required. Stakeholder& Team Management ●Facilitate project governance meetings, sprint reviews, steering committeemeetings, and regular project status updates. ●Prepare and present project dashboards, status reports, and executive updatesto stakeholders. ●Manage stakeholder expectations, priorities, and project communicationsthroughout the project lifecycle. ●Coordinate with other project managers and cross-functional teams to managedependencies and promote delivery best practices. ●Work closely with external vendors, AI platform and model providers, anddelivery partners to monitor progress, resolve issues, and ensure contractualdeliverables are met. AgileDelivery & Team Leadership ●Lead Agile delivery ceremonies including daily stand-ups, sprint planning,sprint reviews, retrospectives, and backlog refinement where applicable. ●Work closely with Product Owners to support backlog prioritization, releaseplanning, and sprint execution. ●Track sprint progress, remove delivery impediments where appropriate, and workwith delivery teams to ensure quality and timely completion of committed work. ●Coordinate BAU activities, production support, and minor enhancements including post-deployment model monitoring,retraining, and prompt or configuration tuning - whileensuring minimal impact to project delivery and service availability. Risk,Issue & Dependency Management ●Proactively identify, assess, and manage project risks, issues, assumptions,and dependencies (RAID), including risks specific to AI delivery such as dataquality, model drift, hallucination, and over-reliance on automated outputs. ●Maintain RAID logs and ensure timely follow-up and resolution of action items. ●Escalate critical issues and project blockers promptly, providing mitigationand recovery plans where necessary. Governance& Compliance ●Ensure project documentation, governance artefacts, and reporting comply withMediacorp’s project management standards, AI governance requirements, and auditrequirements. ●Follow Mediacorp’s security, data protection, responsible AI, compliance,change management, and organizational policies. ●Adhere to Mediacorp’s working hours, calendars, and project governanceprocesses.