This assignment involves two interconnected tasks within the data-driven work of the communication department of a government organization:
- Online measurement: measuring and interpreting online behavior, and translating this into insights and advice to increase the impact of content and communication.
- AI flywheel (phase 1): organizing data and building the first working AI prototypes, as validation of the concept (proof of concept), and also researching an organization-wide rollout.
You constantly switch between what is currently possible with existing resources and building the future vision. You lead the project and transfer knowledge and working methods so that it can be continued independently. The goal is to convert data from online users and other sources into usable information and insights that guide the choices of content specialists and communication advisors, with the central question of how the online message can achieve the most impact.
The assignment includes developing the online strategy for data-driven work and converting this into a concrete implementation plan.
What you will do.
- Measure and interpret online behavior.
- Translate online behavior into insights and advice.
- Develop the online strategy for data-driven work.
- Convert data-driven work into a concrete implementation plan.
- Convert data into usable insights and advice for optimizing content and communication.
- Set up and manage necessary dashboards.
- Knowledge sharing on privacy (GDPR), online analysis methods, and tooling through documentation and workshops.
- Report and present using visuals.
- Set up the data infrastructure.
- Build the first working AI prototypes.
- Set up automated data processing.
- Build a searchable knowledge base.
- Develop reusable, task-oriented AI functionalities within the applicable privacy and GDPR frameworks and the principles for responsible AI use.
- Set up monitoring and evaluation of the prototypes for quality, cost, and usage.
- Conduct research into the impact of the AI flywheel on the organization and use the results to prepare an organization-wide implementation program.
- Conduct research into the requirements from Quality Assurance to put the AI flywheel into production after a successful pilot (e.g., quality assurance and testing, management, security and privacy, and acceptance criteria).
- Provide project coordination.
What they ask
- Minimum 5 years of demonstrable experience in a similar role as AI Lead or Digital analytics lead.
- Minimum 5 years of demonstrable experience with stakeholder management.
- Demonstrable experience with systems such as Piwik, SiteImprove, and other analysis tools.
- Experience in creating overviews with MS Power BI.
- Proficiency in concepts such as working with data, digital architecture, and project management.
- Minimum university level (WO) work and thinking ability.
Wishes.
- Demonstrable experience with the implementation of AI solutions.
- Demonstrable knowledge of privacy-related risks and solutions regarding AI.
Profile
- Environmental awareness: being well-informed about professional, organizational, social, political developments or other environmental factors and knowing how to utilize them effectively.
- Collaboration: making a constructive contribution to a shared result, especially to the atmosphere and relationships within the group or the team.
- Relationship management: building personal relationships with clients and other contacts, maintaining and utilizing them.
- Initiative: taking action independently, identifying opportunities, and converting them into improvement and innovation actions.
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