Senior Manager/ Manager, Master Data Management

Job Description

1. Master Data Management:

• Implement frameworks to centralise, synchronise and harmonise critical data, such as client and partner records, ensuring a single source of truth.
• Design and oversee the MDM program to resolve inconsistencies and align master data across AIC systems.
• Develop and manage MDM tools and system to unify disparate data sources, improving data quality and consistency.

1. Metadata Management:

• Establish and enforce metadata standards to improve data discovery, integration, and governance across the HEALIX and Microsoft Dynamics 365 platforms.
• Develop and maintain a centralised metadata repository, documenting AIC data assets to enhance accessibility and understanding.
• Define and implement processes for capturing, maintaining, and using metadata to ensure effective data tracking and usability.

1. Data Quality Management:

• Utilise data quality tools, such as Informatica or Power Query/BI, to monitor and improve data accuracy, completeness, and consistency in line with governance objectives.
• Conduct root cause analyses of recurring data quality issues and implement sustainable solutions.
• Oversee the deployment of data quality improvement measures within MDM systems, such as Informatica, on the HEALIX platform.

1. Support Key Initiatives like HEALIX Data Lakehouse:

• Collaborate with the IT Division and IT vendors to operationalise the Bronze (raw), Silver (cleansed), and Gold (trusted) tiers of the data lakehouse.
• Ensure seamless integration of master data and metadata into the tiered structure, maintaining quality and consistency as data flows through each tier.
• Define and implement metadata standards to document data movements across tiers, enabling accurate tracking and effective usage.

Job Requirements

• A good bachelor's or master's degree in relevant business, technology, or engineering specialty, or related field with at least 8 years of working experience with 2 years in managerial capacity in business analysis, process improvement, change management, or data governance
• Certification in Certified Data Management Professional by Data Management Association International (DAMA) or a related certification is an advantage.
• Experience with data quality tools and methodologies, particularly in the context of data lakehouses or similar platforms.

• Strong analytical and problem-solving skills to manage data inconsistencies and quality issues

• In-depth knowledge of data governance or management principles and practices
• Proficiency in metadata management tools and techniques, including data catalogues, data profiling and data quality dimensions
• Excellent communication and interpersonal skills to collaborate across technical and non-technical stakeholders and ability to explain complex data concepts to non-technical audiences
• Resourceful and deeply understands how the healthcare and community care industry's function, including data collection, analysis, and utilisation
• Flexible, self-motivating, and able to manage multiple projects efficiently
• Business-oriented and able to deliver quality service in a fast-paced environment
• Detail-oriented with a commitment to data integrity and security
• Ability to remain effective amid ambiguity and change