全职 Manager Data Management 工作, 薪水, Star Media Group Berhad Selangor 公司招聘中 - Ricebowl

As Manager of Data Management, you will lead our data engineering and data science initiatives to build, maintain, and optimize a reliable, high-performing data ecosystem. You will bridge technical execution with business strategy, working cross-functionally with Product, Content, Marketing, and Commercial teams to drive digital subscriptions, engagement, and revenue. By deploying statistical and machine-learning models while maintaining strict data governance, you will ensure our data directly powers business growth.

Key Responsibilities

• Build & Maintain Data Pipelines: Construct and manage end-to-end data pipelines and data warehouses integrating data across digital platforms, CMS, CRM, subscriptions, and advertising platforms.
• Lead & Mentor Technical Talent: Manage, guide, and review the daily work of Data Engineers and Data Scientists to ensure optimal pipeline reliability and model efficacy.
• Drive Predictive Modeling & Advanced Analytics: Develop, test, and deploy statistical and ML models (propensity, churn prediction, audience targeting, content recommendations) and run A/B tests to boost audience engagement and subscription growth.
• Cross-Functional Collaboration: Partner with Business Analytics, Product, and Commercial teams to establish performance metrics, deliver clear reporting/dashboards, and turn business questions into actionable data solutions.
• Governance & Platform Optimization: Enforce data quality, security, and PDPA compliance standards while selecting, monitoring, and optimizing core cloud data tools and infrastructure.

Required Qualifications

• At least 8 years of total experience in data engineering, data science, or analytics.
• At least 2 to 3 years of direct experience leading a team or managing technical staff.
• Hands-on experience building/maintaining data pipelines and data warehouses in digital media, publishing, subscription, or high-volume transaction environments.
• Languages: Working knowledge of SQL, Python, or R.
• Cloud & Data Warehouses: AWS, Google Cloud, Azure, Snowflake, BigQuery, or Redshift.
• Pipelines & ETL: Airflow, dbt, or Kafka.
• BI & Visualization: Looker, Power BI, Tableau, or Looker Studio.
• Digital & Web Analytics: Google Analytics, Chartbeat, or Firebase.
• DevOps & ML/AI: Git (version control/automated deployment), statistical/ML tools, and AI/LLM tools for search, tagging, or recommendations.
• Governance: Solid understanding of data governance, security, and PDPA requirements.

Are You Ready to Shape the Future of Media Analytics?

If you have the technical expertise, leadership drive, and passion for turning data into business impact, we would love to have you on board. Apply today!