What you'll do :
- Translate complex technical concepts into clear, user-friendly materials while continuously identifying opportunities to enhance documentation quality and efficiency.
- Design documentation that caters to various audiences, including developers, data scientists, and non-technical end-users while ensuring clarity, conciseness, and ease of understanding
- Create, edit, and maintain a wide range of documentation including user guides, API documentation, how-to articles, SOPs, release notes, Product launch-overviews, and internal technical documentation.
- Collaborate with cross-functional teams to translate requirements and complex technical concepts into digestible user facing documents that can be clearly understood by Business and Operational stakeholders
- Develop and implement documentation standards, templates, and best practices with the use of AI centered tools to ensure consistency and quality.
- Review, analyze and manage artifacts on Confluence to ensure information on related Zelis Products, Services, and Technologies is relevant and complies with Zelis and industry standards.
- Contribute to product design and usability discussions to ensure clarity and consistency in UI / UX language.
- Structure and organize information effectively so that end users and AI systems can easily access and process content for enhanced search and retrieval.
- Facilitate broader communications and create centralized content for Product related updates (i.e., town halls, executive updates).
- Work with tools such as Confluence, Git, DITA, or other CMS and documentation platforms.
Required Qualifications :
Bachelor’s degree in Technical Writing, Communications, English, Computer Science, or a related field (or equivalent experience).3+ years of experience in technical writing, documentation, or technical communications.Strong ability to understand and explain complex technical topics for both technical and non-technical audiences.Excellent written and verbal communication skills.Strong knowledge of database schemas, SQL, and Snowflake, with proficiency in creating clear supporting documentation for internal teams based on data-driven insightsFamiliarity with AI tools, software development processes, APIs, cloud platforms, or technical tools relevant to the industry.Experience with documentation tools such as Docs-as-Code, XML / DITA, or Help Authoring Tools (e.g., MadCap Flare, RoboHelp).Strong organizational skills and attention to detail.