
Head of Content Strategy
Develop and execute a strategic content plan, aligning messaging with Cloudera’s purpose, mission and culture. Set the Cloudera's overall editorial calendar and key message(s). Map out our customer journey and make sure we have content for each stage. Work with leaders and partners throughout the organization to support proactive and reactive communications needs, determining essential messages and the right channels to deliver them. Develop and author a variety of communications including presentations, announcements, blog posts, etc., to be delivered across a variety of communications channels. Manage team communication channels to measure engagement, monitor themes, and ensure messaging is resonating with a globally distributed audience. Measure content effectiveness and improve it over time.
8+ years of hands-on communications, journalism, writing, or related experience
Outstanding presentation skills with experience presenting to and consulting with an executive audience
Ability to develop narratives and implement them in multiple formats including articles, video, podcasts, presentations
Ability to influence, build strong senior relationships to gain input and buy-in for design and implementation of changes
Writing Skills
Effective Time Management
Strong relationship skills
Develop narratives and implemention
Communication channels to measure engagement
Process Improvement
Prioritizing skills
Attention to detail and accuracy
Result Driven
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Head of Content Strategy in Washington, DC, USA is $94,000 to $135,000 per year. This salary range can vary depending on the size of the company, the candidate's experience, and the industry in which they work. Additionally, factors such as geographic location, demand for the position, and the cost of living in the area can also affect the salary range for this position.
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Cloudera, Inc. is a US-based software company that provides a software platform for data engineering, data warehousing, machine learning and analytics that runs in the cloud or on premises.

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