Strategic Data Products & Stewardship Lead

cc; Singapore; On-site; SGD 120,000 - 165,000; Full time

Job summary

CHANEL is seeking a Data Products & Stewardship Manager to align data initiatives with Corporate Functions, spanning analytics, data science and AI. You will own data products from ideation to adoption, drive governance, quality and self-service analytics, and partner with BI, data engineering and AI teams to deliver high-impact solutions.

The role emphasizes defining data definitions, establishing standards, and enabling strategic decision-making across SEAA.

Qualifications

• Able to proactively identify data opportunities and use cases that create business value, evaluate initiatives based on impact, feasibility and resource constraints.
• Translate business objectives into structured requirements for BI designers, data engineers and analytics teams.
• Experience managing data and analytical products through full lifecycle, prioritisation, delivery and adoption.
• Strong understanding of data definitions, rules, ownership and data quality management.
• Able to bridge business and technical perspectives and communicate complex topics clearly.

Responsibilities

• Own data product backlog and prioritise data products and use cases based on business value and feasibility.
• Lead BI development and coordinate delivery across data engineering, data science and AI teams.
• Define data quality rules and dashboards for critical data elements.
• Ensure data products provide timely, trusted insights for decision-makers.
• Drive adoption of dashboards, datasets and self-service analytics across business users.
• Coordinate governance, privacy and security considerations for data products.

Skills

Business acumen

Stakeholder management

Data product ownership

Data stewardship

Data quality management

Applied analytics

AI literacy

Documentation

Power BI

Python

SQL

Databricks

Microsoft Fabric

Tools

Power BI

Python

SQL

Databricks

Microsoft Fabric

Job description

CHANEL is seeking a Data Products & Stewardship Manager to align data initiatives with Corporate Functions, spanning analytics, data science and AI. You will own data products from ideation to adoption, drive governance, quality and self-service analytics, and partner with BI, data engineering and AI teams to deliver high-impact solutions.

The role emphasizes defining data definitions, establishing standards, and enabling strategic decision-making across SEAA.