Data Governance and Data Management (D)
Ovations Talent Sourcing
This is a 6 - month contract.
Our client, a leading Fintech innovator, is looking for a strategic leader to treat data as a high-value asset.
In this role, you will bridge the gap between compliance and innovation—embedding data quality, privacy, and usability across
16 markets while actively enabling responsible AI, regulatory compliance, and data monetization.
You will partner closely with Data Engineering, AI/ML teams, Risk, and Legal to build a trusted, secure-by-design data culture.
Key Performance Areas
- Strategy & Operating Model: Define and evolve the enterprise AI data governance framework, policies, and federated operating model across all markets.
- Data Quality & Lineage: Establish enterprise data quality standards, master data management, and end-to-end data cataloging/lineage aligned to DAMA-DMBOK or DCAM.
- Responsible AI & Model Governance: Define ethical AI principles (fairness, transparency, bias mitigation) and manage training-data lineage across the model lifecycle.
- Privacy & Compliance: Embed privacy-by-design and data-protection controls aligned to POPIA, GDPR, ISO 27001, and PCI DSS.
- Data Monetisation & Literacy: Establish the consent and data-sharing guardrails required to safely commercialize data products while uplifting enterprise data literacy.
Requirements include
- Experience: 8+ years in Data Governance, Data Management, or Risk Management within Fintech, Banking, or Telecoms.
- Framework Mastery: Deep knowledge of data frameworks (DMBOK/DCAM) and regulatory landscapes (POPIA/GDPR).
- AI/ML Familiarity: Practical understanding of cloud data pipelines and data structures used for training GenAI and classical ML models.
- Stakeholder Influence: Proven ability to navigate complex, multi-country matrix structures and translate technical governance into business value.
