Project Data Manager

Keyrus; Hong Kong; On-site; HKD 100,000 - 140,000; Full time

Job summary

Keyrus in Hong Kong seeks an experienced Project Manager for end-to-end delivery of data projects. You will coordinate cross-functional teams, clarify requirements, manage risks, and drive delivery acceptance with clients and engineers.

The role requires strong PM skills, data literacy, and excellent English/Chinese communication. You will facilitate meetings, maintain documentation, and ensure on-time go-lives across complex data platforms.

Qualifications

• 3+ years of experience in project management, technical delivery, or data project implementation.
• Experience in ETL/ELT, Data Warehouse, Data Lake, BI reporting, or data governance projects.
• Foundational understanding of SQL, data mapping, data pipelines, and data quality checks.
• Ability to collaborate with Data Engineers, BI Developers, Solution Architects, and Analysts.
• Knowledge of standard PM methodologies: planning, scope, risk/issue/change management, and client communication.
• Excellent written and verbal communication in English and Chinese.

Responsibilities

• Take end-to-end ownership of data project delivery including planning, milestones, resource coordination, risk management, issues, change management, and client reporting.
• Collaborate with client business IT/data teams and internal engineers to clarify requirements, confirm scope, prioritize work, and secure delivery acceptance.
• Understand and track ETL/ELT pipelines, data models, data warehouses/lakes, orchestration, data quality, governance, and cutover activities.
• Assist the team to break down tasks and identify technical/data/environment risks.
• Organize and drive project meetings: kick-offs, requirements, sprint reviews, risk sessions, UAT, go-live, and post-project retrospectives.
• Manage project documentation: plans, RACI, risk/issue logs, status reports, specs, test plans, UAT, go-live, sign-offs.
• Monitor progress and quality, flag delays, scope creep, data quality issues, and communication risks, drive solutions to closure.
• Bridge communication between clients and technical teams, translating business needs into technical tasks and risk items.

Skills

Project management

Client-facing communication

Data delivery

Bilingual Chinese/English

Education

Bachelor's in a related field

PM certifications (PMP/Prince2/Scrum)

Tools

Snowflake

Databricks

BigQuery

Redshift

Azure Synapse

Airflow

dbt

Fivetran

Informatica

Talend

Power BI

Tableau

Job description

• Overall Delivery Management: Take end-to-end ownership of data project delivery, including project planning, milestones, resource coordination, risk management, issue tracking, change management, and client reporting.
• Cross-Functional Collaboration: Collaborate closely with client business teams, IT teams, data teams, and internal engineers to drive requirement clarification, scope confirmation, priority management, and delivery acceptance.
• Technical Comprehension: Understand and track key technical components in data projects, including ETL/ELT pipelines, data modeling, data warehouses, data lakes, orchestration/scheduling, data quality, access control, data governance, and cutover.
• Task Decomposition & Risk Identification: Assist the team in breaking down project tasks while identifying technical, data, environment, and cross-team collaboration risks.
• Meeting Facilitation: Organize and drive project meetings, including kick-offs, requirement discussions, sprint/weekly reviews, risk sessions, UAT, go-live preparation, and post-project retrospectives.
• Documentation Management: Manage project documentation and deliverables, including project plans, RACI matrices, risk/issue logs, status reports, requirement specifications, test plans, UAT records, go-live plans, and sign-off materials.
• Progress & Quality Tracking: Monitor project progress and delivery quality, proactively identify delays, scope creep, requirement changes, data quality issues, and communication risks, and drive solutions to closure.
• Bridge Communication: Establish effective communication between clients and technical teams, translating business requirements into clear technical delivery tasks, and tech issues into business-impact, risk, and decision items for clients.
• Pre-sales & Proposal Support: Support pre-sales or early-stage project assessments, including preliminary workload estimation, delivery plan design, project risk assessment, and implementation solution recommendations.
• Methodology Refinement: Drive project retrospectives and delivery methodology documentation, continuously optimizing the company's delivery processes, templates, and best practices for data projects.

Requirements

• Experience: 3+ years of experience in project management, technical delivery, data project implementation, BI/data analysis, or data engineering.
• Project Background: Participated in at least one or more of the following: ETL/ELT, Data Warehouse, Data Lake, BI reporting, data migration, data governance, data quality, cloud data platform construction, or enterprise data integration projects.
• Technical Foundation: Possess a foundational understanding of data technologies, capable of comprehending SQL, database schemas, data mapping, data pipelines, scheduling dependencies, data quality checks, and upstream/downstream system relationships.
• Collaboration: Ability to collaborate efficiently with Data Engineers, BI Developers, Solution Architects, Business Analysts, and Data Governance Consultants.
• Methodologies: Familiar with standard project management methodologies, including project planning, scope management, risk management, issue management, change management, resource coordination, and client communication.
• Communication & Stakeholder Management: Strong client-facing communication skills to facilitate meetings, drive decisions, handle conflicts, and clearly report project status, risks, and next steps.
• Problem-Solving: Strong analytical and task-decomposition skills to identify critical paths, bottlenecks, and priorities in complex projects.
• Language Skills: Excellent written and verbal communication skills in both Chinese and English, with the ability to author project documentation, meeting minutes, status reports, and delivery materials.
• Work Ethic: Highly proactive, accountable, and capable of driving execution in multi-project, multi-team, and multi-stakeholder environments.

Preferred Qualifications

• Background: Previous experience as a Data Engineer, BI Developer, Analytics Engineer, Technical BA, Solution Consultant, or Implementation Consultant.
• Tech Stack: Familiar with one or more data/cloud platforms or tools, such as Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, Airflow, dbt, Fivetran, Informatica, Talend, Power BI, Tableau, etc.
• Governance Experience: Experience in data governance, data quality, master data management (MDM), data catalogs, data lineage, or access control projects.
• Industry Experience: Experience working in consulting firms, system integrators, SaaS implementations, or enterprise-level IT project delivery.
• Certifications: Holder of PMP, Prince2, Scrum Master, Product Owner, or relevant Databricks, Snowflake, AWS, Azure, or GCP certifications.
• Pre-sales Experience: Experience in pre-sales support, solution design, workload estimation, or client workshops.