Key Responsibility:

1. Core Responsibilities

• Data Lifecycle Management: A Data PM oversees the entire lifecycle of data projects, from data acquisition, integration, and storage to analysis and visualization. This involves significant understanding of technical processes and data systems.
• Collaboration with Technical Teams: Work closely with engineers, data scientists, and IT teams to ensure data pipelines and infrastructures align with project goals. This requires a deep understanding of technical jargon, workflows, and dependencies.
• Monitoring and Reporting: Track project progress and provide regular updates and reports to management, evaluate project outcomes and their impact on business operations.

2. Mastery of Technical Tools and Platforms

A Data PM uses specialized tools to manage projects, such as:

• BI Tools: Power BI, Tableau.
• Project & Code Collaboration: GitHub, JIRA, Confluence.
• Cloud Systems: AWS, Azure, Google Cloud for data solutions.
• The role often requires working knowledge of SQL, Python, or other languages to interpret project outcomes, test processes, and validate results.

3. Technical Decision-Making Authority

• System Architecture: A Data PM may decide how data systems should be architected or what infrastructure to adopt based on project requirements.
• Tool Selection: Selecting appropriate analytics tools, databases, or platforms for project success is a regular part of the role.
• Ensuring Data Integrity: Data governance, accuracy, and validation are all technical concerns within a Data PM’s purview.

4. Challenges of the Data PM Role

Operates in a highly specialized field where knowledge of the technical domain is necessary to:

• Translate business needs into data requirements.
• Collaborate meaningfully with technical teams on implementation.
• Ensure compliance with technical standards (e.g., data security, privacy).

Qualifications:

• Bachelor's or master's degree in a relevant field, such as Data Science, Computer Science, Business Administration, or Supply Chain Management.
• 3–5 years of experience in Project Management or a similar role, preferably in Data or IT domains.
• Strong understanding of Retail, Wholesale, or Supply Chain processes.
• Proficient in project management tools like Jira, Trello, or Microsoft Project.
• Experience with Agile/Scrum methodologies.

• 
  Familiarity with

  • Data Analytics: SQL, Python, or other languages to interpret project outcomes
  • Data Engineering: Data pipelines, ETL processes, data storage systems.
  • Data Science: Algorithms, machine learning models, statistical analysis, A/B testing.
  • Technical Roadblocks: Anticipating and resolving issues like system integration, latency, and scalability.
• Excellent communication and stakeholder management skills.
• Proficient in English communication

CP AXTRA | Lotus's
CP AXTRA Public Company Limited.
Nawamin Office: Buengkum, Bangkok 10230, Thailand

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