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.
- 35 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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