Data Project Manager
Overview
Lead the Data & Reporting workstream for a key POS rollout in Hong Kong, interfacing with business stakeholders, technology teams, and external partners. Drive cross-program alignment, risk management, and milestones as our client migrate from legacy tools to a modern data platform.
Key Responsibilities
Own the data & analytics delivery plan for the POS program, including scope, milestones, dependencies, and risk mitigation.
Facilitate cross-functional sessions to translate business needs into actionable data deliverables (models, semantic layers, dashboards) and ensure alignment with enterprise data standards.
Manage stakeholder communications and escalation paths, translating complex data concepts for senior leadership.
Monitor data quality, data lineage, and integration risks; implement governance controls and issue resolution processes.
Collaborate with data engineering, analytics, and product teams to ensure timely delivery of reports, dashboards, and self-service analytics.
Maintain program-wide documentation, KPI definitions, and change control records; drive standardisation across data initiatives.
Proactively identify dependencies and synergies across data initiatives during platform migrations.
Utilise tools for project planning and collaboration (e.g., Jira, Confluence, MS Project/Smartsheet) and maintain auditable trail of decisions.
What We’re Looking For
6+ years of experience in program, project, or data delivery management, preferably in data/analytics within consumer tech or retail.
Solid understanding of modern data architectures, data modelling concepts, semantic layers, BI dashboards, and self-service analytics.
Proven ability to manage multi-stakeholder environments, facilitate workshops, and influence at senior levels.
Strong initiative, resilience, and bias for action; comfortable operating with ambiguity and driving progress.
Experience with project management tools and collaboration platforms; familiarity with POS domain is a plus.
Fluency in English. With Cantonese/Mandarin a plus for local stakeholder engagement.
What’s On Offer
Modern data stack exposure and end-to-end ownership across data and analytics.
High-visibility role with direct interaction with business and technology leadership.
Collaborative, international environment with hybrid work.