▪ Lead the implementation of the data governance
framework. ▪ Collaborate with key stakeholders to establish policies,
standards, and procedures that support business objectives. ▪ Align data assets with the company’s strategic goals to
drive value and efficiency eradicating data gaps to support data driven
decision making. ▪ Conduct regular evaluations of data assets to identify
and address gaps impacting strategic outcomes. ▪ Enhance data quality through consistent standards,
training, and improvement initiatives. Profile, cleanse, validate, and
monitor data quality to ensure accuracy and reliability. ▪ Oversee processes for organizing, tracking, and
documenting data to improve accessibility and usability. ▪ Promote a culture of data excellence through stakeholder
engagement and capacity building. ▪ Identify and deploy appropriate tools and technologies
to strengthen data governance capabilities. ▪ Ensure compliance with industry trends, regulatory
requirements, and best practices. |
(Essential)
Bachelor's Degree in Information Systems, Computer Science, Data Management,
Business Administration, or related fields.
(Preferred)
Master’s Degree in Data Science, Information Systems, or Business Analytics
with a focus on data governance and strategy.
(A
plus) Professional certifications & additional training:
● Certified Data Management
Professional (CDMP)
● Data Governance and Stewardship
Professional (DGSP)
● Certified Information Systems
Auditor (CISA)
● Certified Information Systems
Security Professional (CISSP)
● GDPR or data privacy
certifications (e.g., CIPP/E or CIPM)
● Specialized training in
metadata management, data quality, and data lineage.
▪ Have 4+ years of experience in data governance, data
management, or related fields such as analytics or data quality management.
▪ Possess prior experience in implementing data governance
frameworks, including policy development, metadata management, and data quality
initiatives.
▪ Have knowledge of data governance tools and technologies.
▪ Exhibit excellent communication, collaboration, and
stakeholder engagement skills.
▪ Show ability to promote data-driven decision-making and
foster a culture of data stewardship across teams.
▪ Experience in leading data projects or teams is highly
desirable.
▪ Advanced proficiency in SQL and NoSQL with hands-on
experience creating complex queries and data transformations.