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Chatbot Manager

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Chatbot Manager

HEALTH MANAGEMENT INTERNATIONAL PTE. LTD.
Southeast
SGD 60.000 - 100.000
Descrizione del lavoro

The Chatbot Manager will be the indispensable coach for our virtual assistants, ensuring they are designed, configured, and deployed effectively. He/She will manage the transfer of skills from human to machine, ensuring our bots reflect our company's know-how, values, and expertise. This role requires a strategic thinker with excellent coordination skills and a passion for AI technology.

The Chatbot Manager is expected to have prior experience in chatbot development and management. The role requires strong analytical and problem-solving skills, as well as excellent communication and interpersonal abilities. He/She should have a passion about the use of chatbot and generative AI to optimal use cases. He/She must work with experts, transfer skills and knowledge effectively, and manage chatbot performance.

The Chatbot manager must be capable of understanding and accurately interpreting user queries. Familiarity with AI and machine learning concepts are essential. Familiarity with AI and machine learning concepts is also necessary.

Responsibilities

  • Thoroughly analyse the business requirements to determine the technical specifications needed for the chatbot. This involves understanding the goals, functionalities, and constraints of the chatbot project.
  • Work closely with business stakeholders, including product managers, developers, and other relevant teams, to gather detailed technical requirements and ensure alignment with business objectives.
  • Create comprehensive documentation that outlines the technical specifications, including system architecture, integration points, data flow diagrams, and user interface requirements.
  • Evaluate the technical feasibility of the proposed specifications, identifying potential challenges and suggesting solutions to ensure the chatbot can meet the business needs effectively.
  • Analyse user interaction data to identify patterns and trends that can inform chatbot improvements.
  • Utilize machine learning algorithms to enhance the chatbot's ability to understand and respond to user queries.
  • Plan and oversee the integration of the chatbot with existing systems and platforms, ensuring seamless interoperability and data exchange.
  • Establish and enforce quality assurance protocols to ensure that the technical specifications are met during development and deployment, including testing and validation processes.
  • Continuously monitor the chatbot's performance and gather feedback to refine and update technical specifications, ensuring the chatbot evolves to meet changing business needs.
  • Provide training and support to the development team and other stakeholders to ensure they understand the technical specifications and can implement them effectively.
  • Collaborate with UX/UI designers to ensure the chatbot provides an intuitive and engaging user experience.
  • Ensure the chatbot adheres to data privacy regulations and security protocols.
  • Implement measures to protect user data and prevent unauthorized access.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
  • Proven experience in chatbot development and management.
  • Strong track record in leading AI-driven or conversational interface projects.
  • Hands-on experience with chatbot platforms (e.g., Dialogflow, Microsoft Bot Framework, Rasa).
  • Proficiency in Python, particularly for developing, testing, and integrating chatbot features and machine learning models.
  • Familiarity with machine learning algorithms and natural language processing (NLP) tools and frameworks.
  • Solid understanding of AI, NLP, and system integration.
  • Familiar with conversational UI/UX principles and API integration.
  • Strong analytical and problem-solving abilities.
  • Experience in translating business needs into technical specifications.
  • Skilled in coordinating with cross-functional teams and stakeholders.
  • Knowledge of data privacy and security best practices related to chatbot deployment.
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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