Head of Data and AI
Full time @Inkomoko posted 4 hours ago in Information Technology Shortlist Email JobJob Detail
-
Experience 8 Years +
-
Qualifications Degree Bachelor
Job Description
Key Responsibilities:
Data Strategy & Infrastructure
- Together with the Director of Products and Innovation develop and execute a Data & AI Implementation Strategy aligned with organizational goals.
- Lead data transformation initiatives in data infrastructure, analytics, AI products, automation.
- Define and enforce data governance frameworks, policies, and ethical AI guidelines..
- Standardize and govern all data sources (client, portfolio, operations, external).
- Drive adoption of data-driven decision-making across departments.
Data Infrastructure & Engineering
- Oversee design and management of data warehouses, data lakes, and integration pipelines.
- Design and maintain scalable, multi-country data architecture.
- Implement scalable cloud-based data platforms (e.g., Azure, AWS, GCP).
- Improve data reliability, consistency, and accessibility across the organization.
AI/ML Product Leadership
- Lead design, training, testing, and production deployment of AI solutions (credit scoring for thin-file clients, predictive risk models, NLP for WhatsApp/IVR, impact forecasting).
- Champion responsible AI: bias mitigation, explainability, and ethical guardrails.
- Lead development of AI/ML models, NLP systems, generative AI solutions, and automation tools.
- Manage AI lifecycle: problem definition → data preparation → modeling → evaluation → deployment.
- Introduce automation (RPA, intelligent workflows) to improve operational efficiency.
Governance & Compliance
- Own data governance framework: quality, lineage, access controls, and IP protection.
- Lead enterprise-wide master data management practices.
- Ensure full compliance with GDPR, central-bank rules, donor requirements, and Inkomoko’s IP Policy.
Insights, Analytics & BI
- Deliver executive dashboards and drive data literacy across Programs, Credit, Finance, and Leadership.Lead predictive analytics projects for forecasting, segmentation, and decision intelligence.
- Introduce self-service BI tools and build analytical capacity across teams.
- Lead predictive analytics projects for forecasting, segmentation, and decision intelligence.
- Introduce self-service BI tools and build analytical capacity across teams.
Team & Culture
- Build a high-performing, interdisciplinary Data & AI team.
- Mentor staff and build data literacy across departments.
- Oversee vendor relationships and implementation partners.
Requirements
WHO WE ARE LOOKING FOR
- Master’s or Bachelor’s in Data Science, Computer Science, Statistics, or equivalent.
- 10+ years in data engineering, analytics, or ML; at least 5 years leading teams.
- Hands-on experience shipping production ML models, ideally in credit or financial inclusion.
- Expertise in modern data stacks (dbt, Snowflake/AWS, Airflow, etc.) and ML frameworks.
- Strong understanding of data governance, privacy regulations, and ethical AI practices.
- Excellent leadership, communication, and stakeholder management skills.
