A Master Data Manager oversees the planning, implementation, and management of master data management programs, ensuring data consistency and accuracy.
Potential Lateral Jobs
Master Data Manager
$84,391 / year
The average salary for Master Data Manager is $84,391 / year according to Indeed.com
There are no updated reports for Master Data Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Master Data Manager role may have an alternate title depending on the company. To find more information, you can check Indeed.com.
As a Master Data Manager, you will be responsible for managing and maintaining the accuracy and consistency of master data within an organization. You will need a strong understanding of master data management principles and technologies, as well as experience with data governance and data quality. Strong problem-solving and communication skills are essential, as you will be responsible for ensuring the integrity and reliability of master data.
The following text about the Job role of Master Data Manager has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
The Master Data Manager is responsible for the overall management of an organization's master data. This includes ensuring the accuracy, consistency, and security of the data, as well as developing and implementing processes and policies to maintain and improve the data.
The Master Data Manager's most important skills include:
Strong analytical and problem-solving skills: The ability to analyze and interpret data, as well as to identify and solve problems, is essential for a Master Data Manager. This includes the ability to use data to inform decision-making and to drive process improvements.
Excellent communication and interpersonal skills: The ability to effectively communicate with stakeholders and team members, as well as to build strong relationships, is critical for a Master Data Manager. This includes the ability to clearly articulate complex ideas and to listen to and understand the needs and concerns of others.
Strong leadership and management skills: The ability to effectively lead and manage a team, as well as to delegate tasks and responsibilities, is essential for a Master Data Manager. This includes the ability to motivate and inspire others, as well as to provide clear direction and feedback.
Strong technical skills: The ability to use and understand technical tools and systems, as well as to troubleshoot and resolve technical issues, is critical for a Master Data Manager. This includes the ability to use data analysis and visualization tools, as well as to understand and work with complex data structures.
Strong project management skills: The ability to effectively manage and prioritize projects, as well as to ensure that projects are completed on time and within budget, is essential for a Master Data Manager. This includes the ability to use project management tools and techniques, as well as to effectively collaborate with others on projects.
The Master Data Manager's tasks include:
Ensuring the accuracy and consistency of master data: The Master Data Manager is responsible for ensuring that the organization's master data is accurate and consistent across all systems and databases. This includes identifying and resolving data inconsistencies, as well as implementing processes and policies to prevent future inconsistencies.
Developing and implementing processes and policies for master data management: The Master Data Manager is responsible for developing and implementing processes and policies to ensure the effective management of master data. This includes defining data standards and governance, as well as implementing processes for data collection, data cleansing, and data enrichment.
Leading and managing a team of data analysts and data scientists: The Master Data Manager is responsible for leading and managing a team of data analysts and data scientists, as well as for providing direction and feedback to the team. This includes the ability to delegate tasks and responsibilities, as well as to motivate and inspire the team.
Collaborating with stakeholders to ensure the effective use of master data: The Master Data Manager is responsible for collaborating with stakeholders to ensure that master data is effectively used to support the organization's business objectives. This includes the ability to understand and respond to the needs and concerns of stakeholders, as well as to provide data-driven insights and recommendations.
Conducting regular data quality audits: The Master Data Manager is responsible for conducting regular data quality audits to ensure that master data is accurate and consistent. This includes the ability to use data analysis and visualization tools to identify and resolve data quality issues, as well as to implement processes and policies to prevent future issues.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
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The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
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This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.
You will acquire the skills to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, you will learn to build data warehouses, data lakes, and lakehouse architecture.
This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.
This Nanodegree program equips learners with a strong foundation in Big Data Engineering. You will learn thoroughly about data models, data warehouses, data lakes, and data pipelines while working with massive datasets.
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Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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