Responsibilities:

• Development, description, and regular updating of product team workflows, including designing optimal interaction schemes and standard regulations.
• Definition and implementation of standard Jira configurations to support product processes, interaction with technical teams on setup and automation issues (defining requirements and monitoring execution).
• Designing and improving automation and AI integration practices for product processes, including analysis of current tools and proposing new solutions.
• Conducting interviews with teams, product managers, and scrum masters to gather feedback on current processes and tools, forming and prioritizing tasks for the process backlog based on identified pain points.
• Forming, testing, and analyzing hypotheses for improving processes, tools, and work practices, preparing proposals for implementing changes.
• Supporting the implementation of new processes and tools in product teams, ensuring their support during the adoption and adaptation phase.
• Organizing and conducting training sessions, workshops, and briefings for teams and leads on new processes, tools, automations, as well as collecting and processing feedback.
• Development, structuring, and maintenance of training materials, guides, checklists, and FAQs on product processes and tools.
• Updating the company's knowledge base.
• Evaluating the effectiveness of implemented changes in processes and tools, preparing analytical reports and recommendations for further improvement.

Requirements:

• At least 2 years of experience as a business or process analyst in IT.
• Knowledge of product planning tools and practices (quarterly planning, OKR, roadmap, etc.).
• Proficient in Jira as a confident user, experience in configuring processes and workflows in Jira.
• Skills in facilitating meetings, interviews, and working with change teams.
• Experience in designing, documenting, and implementing new processes.
• Experience in preparing analytical materials, guides, instructions, and other standards for teams.
• Initiative, ability to identify problems and propose improvements.
• Structured thinking, systematic approach, communication skills.
• Experience with AI tools: using LLMs in the stages of analysis, process design, and documentation preparation.
• Ability to form instructions and context for AI agents (Claude Code, Codex, etc.) for the purpose of transferring process knowledge to teams.