Data Governance Manager

2. JOB PURPOSE:

The Manager Data governance will lead the development and implementation of data and AI strategic vision, governance, risk management, operational excellence, frameworks and policies, ensuring the integrity, quality, and security of data across the organization. This role focuses on establishing best practices for data & AI management and compliance with relevant regulations.

Key Accountabilities

Description

Strategy & Roadmap Development:

• Define and execute the organization’s integrated data and AI strategy, aligning initiatives with business priorities and industry trends.
• Lead enterprise-wide transformation projects, embedding data and AI into products and decision-making.

Data Governance Strategy:

Develop and execute a comprehensive data governance strategy that aligns with organizational goals and regulatory requirements.

Policy Development:

Create, implement, and maintain data governance, privacy, ethical AI policies, standards, and procedures to ensure data accuracy, consistency, and security.

Stakeholder Engagement:

• Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to promote data governance initiatives and secure buy-in.
• Engage with external regulators, technology partners, and vendors to drive innovation and compliance.

Data Quality Management:

• Establish processes for monitoring and improving data quality KPIs, including data profiling, cleansing, and validation.
• Monitor, diagnose, and resolve data-related issues, providing high-quality datasets for ML/AI solutions.

Compliance and Risk Management:

• Ensure compliance with relevant data protection regulations (e.g., PDPL, GDPR, CCPA) and assess risks associated with data management practices.
• Identify and manage risks associated with data and AI systems, implementing regular controls, audits, and incident management protocols.

Training and Awareness:

Provide training and support to employees on data & AI best practices and promote a culture of innovation & data stewardship within the organization.

Operational Excellence:

• Oversee robust data infrastructures, scalable cloud architectures, and continuous improvement projects for data systems and AI models.
• Collaborate with IT, product, analytics, and compliance teams to integrate data/AI solutions in business workflows.

Continuous Improvement:

• Research emerging technologies and market trends; propose enhancements for policies, strategies, and technologies.
• Lead change management activities for the adoption of cutting-edge solutions in data and AI.

QUALIFICATIONS

• Bachelor’s degree in data science, Information Management, Artificial Intelligence, Computer Science or a related field.
• Relevant certifications in data governance or data management (e.g., CDMP, DGSP) are advantageous.

EXPERIENCE

• 6 - 10 years of experience in data governance, data management, artificial intelligence or a related field, with at least 3 years in a managerial role.
• Proven experience in developing and implementing data management, & governance frameworks and policies.
• Familiarity with infrastructure & cloud platforms.

SKILLS

• Strategic vision and leadership for data/AI.
• Data quality management and stewardship.
• Strong understanding of data governance principles, practices, and regulatory requirements.
• Excellent analytical and problem-solving skills, with a focus on data quality and compliance.
• Strong project management skills, with the ability to manage multiple initiatives and deadlines.
• Exceptional communication and interpersonal skills, capable of engaging effectively with stakeholders at all levels.
• Leadership qualities with the ability to inspire and motivate teams towards achieving data governance objectives.

BEHAVIOURAL COMPETENCIES

• Driving performance for improvement.
• Leadership
• Building partnership
• Developing satisfaction
• Commercial acumen