Overview
This role leads a multidisciplinary team to drive AI integration, data-informed content strategy, and creative output, overseeing AI, Creative Services, Measurement/Data and Analytics, and research-related communications.
Key Responsibilities
- Oversee the integration of AI into the ECR ecosystem, including media monitoring, measurement and analytics, and content performance.
- Champion the responsible use of AI to automate routine tasks and enhance analysis.
- Establish KPIs and a framework for evaluating communication effectiveness.
- Develop and implement a content strategy informed by data analytics and audience research.
- Lead the creative services team to produce high-quality visual and written content.
- Integrate new technologies and tools, including AI driven content tools, to improve content creation.
- Modernize translation platforms across the WBG, including AI assisted translation tools.
- Collaborate with research teams to distill technical reports and data-heavy findings into accessible content.
- Develop communications strategies for effectively deploying major research publications.
- Work closely with other ECRCM communications managers to align content themes.
Required Experience
- 12 years of substantial professional experience in positions of increasing complexity and responsibility or equivalent combination of education and experience.
- A direct background in data science and AI is preferred.
- Demonstrated ability to interpret data to drive decision-making in content creation.
- Proficiency with analytics tools (e.g. web analytics, social media insights, SEO metrics) and experience establishing measurement frameworks.
- Proven experience integrating emerging technologies into content workflows.
- Familiarity with AI tools for content creation or analysis is essential.
- Knowledge of generative AI trends in digital content and an ability to lead and advise on AI-driven initiatives would be a strong plus.
- Experience managing creative teams and projects–from concept through execution.
- Experience working in multicultural or international environments.
- Familiarity with translation/localization processes and sensitivity to how content may need to be adapted for different cultural contexts.
Qualifications
An advanced degree (Master’s or PhD) in data science, information technology, communications, or other related fields.
