Senior Manager/ Manager, Master Data Management
Salary undisclosed
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Job Description
- 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.
- 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.
- 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.
- 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
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