FAQs
What is the primary focus of the Data Quality Enablement Senior Manager role?
The primary focus is to integrate robust data management practices across corporate functions and Generative AI initiatives, ensuring data integrity is at the core of business transformation programs.
What qualifications are required for this position?
A Bachelor's or Master's degree in Information Technology, Computer Science, Data Science, or a related field is required, along with 5+ years of experience in Data Governance and managing large-scale data quality initiatives.
What kind of tools and knowledge should a candidate possess?
Candidates should have knowledge of data quality tools, databases, data warehousing, and data analysis techniques, along with familiarity with SQL and data visualization.
What experience is preferred for this role?
Leadership experience is preferred, especially within a global organization managing large-scale data quality initiatives.
Who will the Data Quality Enablement Senior Manager collaborate with?
The manager will work closely with business and tech leadership, data stewards, and teams across various data-domain areas such as Finance, HR, Knowledge, Procurement, and Marketing.
What personal skills are essential for this role?
Strong analytical and problem-solving skills, excellent communication and interpersonal skills, strong customer and business focus, and strong project management skills are essential.
Is there an opportunity for exploring new technologies in this position?
Yes, there is a curiosity and eagerness to explore new frontiers and opportunities for Data Governance and Quality in the Generative AI space, both as an enabler and beneficiary.
What is the work culture like in this role?
The work culture emphasizes collaboration, fostering a culture of data accuracy and integrity, and promoting data quality best practices across the organization.
Will the role include advising and training others?
Yes, the position requires acting as an advisor to business and technical stakeholders, providing training and guidance on data quality best practices, tools, and processes.
How will success in this role be measured?
Success will be measured by the effectiveness of the data quality management strategies implemented, improvements in data integrity and quality, and the ability to meet business requirements through collaborative efforts.