Responsibilities:
1. Develop, Implement, and Maintain Data Products:
- Develop, implement, and maintain sustainable data products and systems throughout the end-to-end data process.
- Responsible for integrating asset-level data on corporate private markets investments into the organization's platform environment, ensuring the quality of the data provided.
- Strive for best practices to achieve continuous improvement and operational excellence.
2. Usability Testing and Stakeholder Sign-Off:
- Conduct usability testing to ensure data products meet user needs and expectations. Present test evidence to stakeholders to obtain sign-off.

Documentation:
- Develop comprehensive technical and user documentation for all data products developed, ensuring documentation is up-to-date and accessible for users and developers.
3. Business-as-Usual (BAU) Processes:
- Ensure smooth execution of BAU processes through effective implementation of data products.
- Provide continuous support and enhancements as required, ensuring product uptime as per agreed SLA with the business.
4. Data Analysis and Communication:
- Perform data analysis on issues raised and communicate findings to stakeholders.
5. Stakeholder Management:
- Build and maintain strong relationships with internal and external stakeholders. Ensure clear and effective communication with all stakeholders regarding data requirements and timelines.

Skills Must have:

• At least 5 years of relevant experience in data product development and maintenance, solutioning, process re-engineering, and digital product development.
• Good engineering experience and practices in SQL, and/or any relational database/warehouse (e.g. Postgres, Oracle, Snowflake, Python/Pandas/DBT/PySpark).
• Ability to engage with business to understand business needs and translating them into data solutions.
• Experience in usability testing and stakeholder management.
• Proficiency in technical and user documentation.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Possess strong learning agility, self-driven, pro-active, and great sense of purpose to relook on existing data usage.
• Comfortable in attaining new skills through use of new technology tools and systems.
• Good team player, with strong analytical skills and enjoy complex problem-solving.
• Knowledge of best practices for data quality and operational excellence.
• Excellent communication and interpersonal skills, with the ability to build relationships and work effectively with diverse stakeholders.