MDM Profisee Expert

Next Ventures; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading company is seeking a MDM Profisee Architect to design and implement a scalable Master Data Management solution on Azure. The role involves defining data standards, maintaining data quality, and collaborating with IT and business units to align MDM strategies with organizational goals. The ideal candidate will drive continuous improvement in data architecture, ensuring high-quality data management and compliance with governance standards. This position offers a dynamic environment for innovation and professional growth.

Qualifications

• Experience in architecting scalable MDM solutions.
• Strong understanding of data governance and quality metrics.

Responsibilities

• Architect a scalable MDM solution using Profisee on Azure.
• Define data standards and create data models.
• Monitor MDM services and components on Azure.

Skills

Data Governance

Data Management

Data Quality

Data Modeling

Azure

Job description

What you’ll do as a MDM Profisee Architect

Architecting a Scalable and Secure MDM Solution:

• Architect a scalable and secure Master Data Management (MDM) solution using Profisee on
• Azure, ensuring the consistency and accuracy of the organisation’s shared master data.
  Maintain the integrity of the MDM model, ensuring that it aligns with the company’s data management strategies and business objectives

Defining Data Standards and Creating Data Models:

• Define data standards and create data models that align with the organisation’s business processes and IT infrastructure.
• Develop comprehensive data models that support enterprise-wide business needs and objectives, ensuring high-quality data management.

Maintaining and Optimising Match Rules, Data Quality Metrics, and Data Governance Policies:

• Maintain and optimise match rules, data quality metrics, and data governance policies within the Profisee platform.
• Ensure alignment with data governance standards and oversee data validation and quality assurance processes.

Driving Continuous Improvement in Data Architecture:

• Drive continuous improvement in the MDM architecture by adopting innovative technologies and methodologies.
• Keep the MDM architecture up-to-date with emerging trends in data management, ensuring it evolves with the organisation’s needs.

Golden Master Record Creation:

• Establish procedures for data matching and survivorship to ensure the creation and maintenance of aSingle Source of Truth (SSOT)master record for all data assets.
• Ensure data precision and consistency across all platforms, enabling reliable decision-making.

Data Model Maintenance:

• Develop and sustain a comprehensive data model that aligns with business processes and supports the organisation’s objectives.
• Monitor and update the data model regularly to ensure it remains relevant and effective in supporting business needs.

Data Relationships and Workflow:

• Define the relationships between data entities and establish efficient workflows for data management.
• Streamline data management and operations by defining and optimising data models and workflows.

Data Hierarchies and Schema Implementation:

• Architect data hierarchies and apply the master data schema to the MDM system for efficient data management.
• Ensure that data hierarchies and schemas are properly implemented for accurate and consistent data governance.

Collaborating with IT, Business Units, and Stakeholders:

• Collaborate closely with IT teams to implement the data architecture, ensuring integration with existing systems and technologies.
• Work with business analysts, data stewards, and stakeholders to understand their data needs and ensure that MDM strategy aligns with organisational goals.

Supporting Data Quality:

• Implement data governance practices and data validation processes to ensure the accuracy and consistency of data in the enterprise data platform.
• Collaborate with the Data Governance Team and Data Stewards to monitor data quality and ensure compliance with data standards.

Monitoring MDM Services and Components on Azure:

• Monitor MDM services and components on Azure to ensure high performance, throughput, and availability.
• Ensure that the MDM infrastructure remains operational and meets performance expectations.

Staying Well-informed of Industry Trends:

• Stay updated with the latest industry trends and technologies in data architecture and MDM.
• Incorporate innovative solutions into the organisation’s data platform to maintain competitive advantage and operational efficiency.

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