Snr IT Analyst II, Master Data Management

Position summary:

The MDM Senior Analyst is responsible for MDM Solutions and leading MDM function ensuring successful implementation, integration, and ongoing support of the Master Data Management system within the organization. This includes collaborating with IT, business stakeholders, and data governance teams to define the solution requirements, ensure alignment with business goals, and drive the system’s continuous improvement. The MDM Solution Owner will serve as the subject matter expert for the MDM solution and ensure it delivers high-quality, consistent, and accurate master data across all business functions.

This role will be based in: Singapore

Job Responsibilities:

Primary responsibilities:

MDM Solution Strategy and Roadmap:

1. Define MDM Strategy: Develop and maintain the long-term vision and strategy for MDM, ensuring that it aligns with the organization’s overall data management and business goals.
2. Roadmap Development: Create and maintain the roadmap for the MDM solution, identifying key milestones, upgrades, and functionality to support business needs and enhance data quality.
3. Stakeholder Alignment: Engage with business and technical stakeholders to ensure that MDM solutions meet their requirements, support business operations, and align with enterprise data management policies.

Solution Implementation and Integration:

1. Cross-Functional Collaboration: Work closely with IT, business analysts, and data stewards to ensure seamless integration of the MDM solution with other enterprise systems (ERP, CRM, data lakes, etc.).
2. System Integration: Oversee the integration of the MDM system with other platforms, ensuring smooth data flow between systems and that master data remains consistent across applications.
3. Implementation Oversight: Manage the implementation of the MDM solution, including project planning, resource allocation, risk management, and ensuring timely delivery of milestones.

MDM Operations and Continuous improvements:

1. Business As Usual (BAU) Operations: Manage the BAU Team on the ongoing tasks required to maintain and sustain high-quality master data for daily organizational operations. Ensures that master data management (MDM) processes are effectively executed in day-to-day operations, addressing any issues or changes promptly to maintain data quality, consistency, and compliance.
2. System Enhancements: Continuously assess the performance of the MDM solution, identify areas for improvement, and lead initiatives to optimize the system’s functionality and usability.
3. User Training and Support: Provide training to business users, data stewards, and other stakeholders on the MDM solution, ensuring they understand how to use the system effectively and adhere to governance policies.
4. Feedback Loop: Collect feedback from end-users and stakeholders to ensure the MDM system is meeting business needs and make recommendations for enhancements or upgrades based on this feedback.

Performance Monitoring and Reporting:

1. KPIs and Metrics: Define key performance indicators (KPIs) for monitoring the success of the MDM solution, such as system usage, data accuracy, and user satisfaction.
2. Reporting: Develop dashboards and regular reports to provide visibility into the health of the MDM system, data quality metrics, and the performance of master data across the organization.
3. Issue Resolution: Monitor the MDM system’s performance and address any issues, such as system failures, data discrepancies, or integration challenges, in a timely manner.

Stakeholder Communication and Management:

1. Liaison Between IT and Business: Act as the primary point of contact between business users, IT teams, and external vendors to ensure alignment on MDM requirements and priorities.
2. Project Management: Oversee MDM projects, including resource planning, budget management, and timelines, to ensure successful delivery and alignment with business goals.
3. Executive Reporting: Provide regular updates to senior management on the status of the MDM solution, project milestones, risks, and opportunities.

Additional responsibilities:

Master Data Governance and Quality Management:

1. Master Data Governance Framework: Work with the data governance team to establish policies, procedures, and standards for managing master data in line with organizational data governance strategies.
2. Master Data Quality Oversight: Ensure that data quality is maintained within the MDM solution, including defining data quality metrics, performing data audits, and addressing data quality issues.

Risk Management:

1. Identify and Mitigate Risks: Proactively identify risks associated with the MDM solution, such as data quality issues, system integration challenges, or security concerns, and develop mitigation strategies.
2. Business Continuity: Ensure that proper backup, disaster recovery, and business continuity plans are in place for critical MDM systems.

Education:

1. Bachelor’s degree in information technology, Business Administration, Data Management, or a related field.
2. Master’s degree or relevant certifications in data management (e.g., CDMP, DAMA) is a plus.

Experience:

1. 5+ years of experience in Master Data Management, data governance, or data management roles, with a deep understanding of MDM concepts and best practices.
2. 3+ years of experience in managing MDM systems (e.g., Informatica MDM, SAP MDG, Oracle MDM) and integrating them with other enterprise systems.
3. Experience leading cross-functional teams in the delivery of MDM projects and solutions.
4. Strong background in data governance, data quality management, and regulatory compliance related to data.

Key skills and characteristics:

1. MDM Platform Expertise: Strong technical knowledge of MDM platforms and tools, including the ability to configure and optimize the solution.
2. Project Management: Ability to manage large, complex projects, including resource management, budgeting, and risk management.
3. Data Governance: In-depth understanding of data governance frameworks and the ability to implement them effectively.
4. Analytical Skills: Strong analytical abilities to assess system performance, data quality, and to propose improvements.
5. Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate with both business and technical stakeholders.
6. Leadership: Proven ability to lead, mentor, and motivate cross-functional teams in the delivery of MDM initiatives.

Other competencies:

1. Strong interpersonal skills. Ability to work across senior-level business line leaders to influence and effect change to achieve common goals.
2. Analytical skills. Strong skills in data analysis, trend identification, and drawing insights from quantitative/qualitative analysis.
3. Business Analysis: Gather business requirements, map processes, and optimize the processes.
4. Fearlessness in suggesting or backing big ideas. Tenacity in focusing the information discovery process. Able to navigate through uncertainty to drive business outcomes.
5. Excellent oral and written communication skills. Bridge technical and non-technical gaps. Articulate complex concepts that both IT & Business stakeholders understand. Engage stakeholders to define their needs.
6. Effective leadership skills. These skills include team building, consensus building, balancing team and individual responsibilities, and achieving goals through others not directly under the leader’s supervision by working ethically and with integrity.