▪
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.

Requirements

(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.