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Data PM

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Onsite

Data PM

Ambition

Data PM

Skills

Data EngineeringData AnalysisJiraConfluence

1 month ago

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Important information


Contract type:

Freelance / Contract

Salary:

HK$40,000 – HK$48,000 / year

Work mode:

Onsite

Published on:

14 September 2026

What they need


Data Project Manager (POS & BI Transformation)

Role Overview

Seeking an end-to-end Data Project Manager to lead the data stream of a major new Point-of-Sale (POS) system deployment. This role oversees the implementation of analytics dashboards, semantic data models, and business-facing Self-Service BI enablement.

You will maintain an overarching program view across multiple workstreams, drive overall project progress, manage dependencies, and ensure high-impact delivery aligned with the enterprise data transformation roadmap.

Key Responsibilities

  • Program & Project Governance: Create and execute comprehensive project plans, track cross-workstream dependencies, identify key risks, and establish proactive mitigation strategies.
  • POS & BI Oversight: Oversee the core technical and analytical deliverables, ensuring smooth data flow from the new POS system into standardized semantic models and dashboard layers.
  • Self-Service BI Enablement: Drive end-user enablement initiatives to empower business teams to adopt and self-serve analytics post-launch.
  • Executive Stakeholder Management: Translate complex data concepts into clear, high-impact messages for senior leadership and business unit leads across the region.
  • Cross-Functional Ownership: Take complete accountability for program milestones, ensuring alignment between retail operations, data engineering, and front-end BI teams.

Key Requirements

  • Project Management Experience: Proven track record leading medium-to-large data, analytics, or enterprise system implementation projects.
  • Data Domain Mastery: Strong functional understanding of data pipelines, semantic model architecture, and Self-Service BI (SSBI) delivery frameworks.
  • Retail & POS Exposure: Prior experience with retail Point-of-Sale (POS) systems, store operations, transaction datasets, or customer analytics is highly preferred.
  • Tools & Frameworks: Proficiency in modern project management and collaboration tools (e.g., Jira, Confluence, Gantt charts, RAID logs).
  • Behavioral Strengths: Highly self-driven with exceptional ownership, proactive problem-solving abilities, and strong articulation skills.

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