- Company Name
- Keystone Solutions
- Job Title
- AI Business and Data Analyst Marketing and Communications
- Job Description
-
Job title: AI Business & Data Analyst – Marketing & Communications
Role Summary:
Provide AI‑driven insights for a client’s Marketing and Communications team. Translate predictive model outputs into clear, actionable business knowledge, manage model adoption, and ensure AI governance, compliance, and stakeholder alignment across projects.
Expactations:
- Own end‑to‑end AI use case development from requirement gathering to validation.
- Lead model adoption initiatives, measuring usage, performance, and value.
- Ensure rigorous compliance with AI governance, documentation, and model explainability.
Key Responsibilities:
1. Collaborate with Marketing & Communications squads to promote awareness, adoption, and effective use of predictive analytics.
2. Translate stakeholder business needs into technical specifications, acceptance criteria, and feasibility studies.
3. Identify, groom, and access new data sources to support data scientists’ model development.
4. Track model performance and value generation, generating impact reports for stakeholders.
5. Conduct pilot studies, A/B testing, and experiment design to validate AI solutions.
6. Facilitate model explainability, fairness assessments, and compliance with GDPR and AI governance policies.
7. Create and maintain documentation, deliverables, and enable stakeholder involvement throughout the AI life cycle.
8. Advise on data pipelines, ML–ops integration, and data infrastructure needs.
Required Skills:
- 5+ years in AI engineering, Data Science, or Software Development.
- Proven ability to convert business requirements into technical AI specifications.
- Strong stakeholder management, communication, and presentation skills.
- Proficiency in Python, SQL, statistical methods, experiment design, A/B testing, and data pipelines.
- Knowledge of GDPR, AI governance, Agile practices, and SAS analytics (preferred).
Required Education & Certifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Business Analytics, or related field.
- Advanced degree or specialization in AI/ML is a plus.
- Fluency in English; additional language proficiency in Dutch or French required.