Chief AI Innovation Officer

4 days ago


Dera Ghazi Khan, Punjab, Pakistan beBeeAI Full time $140,000 - $160,000
Job Overview:

The Senior AI Operations Analyst is responsible for leading the development and implementation of AI solutions across the organization. This includes evaluating new technologies, managing requests from stakeholders, developing, testing, and maintaining AI tools, and training end-users.

This role demands a unique combination of analytical skills, project management expertise, and a passion for applying AI to real-world business challenges.

  • Main Responsibilities:
    • Manage the AI Solution Lifecycle: Oversee the intake of new AI use cases and tool requests, including initial assessment, feasibility study, compatibility evaluation, and prioritization based on business value and development effort.
    • Develop new AI tools: This is a hands-on role that will rapidly prototype, develop, test (including prompt engineering/training), launch, and maintain (bug fixes, enhancements) new AI models and workflows.
    • Support Business Growth: As new AI tools are launched, develop, document, and enable users on any supporting processes. Ensure we have the infrastructure to implement and scale the solutions you build.
Required Skills and Qualifications:
  • Adaptability: Comfortable navigating ambiguity and thriving in a fast-paced environment. A proactive attitude and a willingness to learn are essential.
  • AI Expertise: You are passionate about AI and its potential to transform business processes. You stay up-to-date with the latest AI trends and technologies and are a regular user of platforms like Gemini, Notebook LM, Chat GPT, or Glean. Hands-on experience developing or working with AI tools is highly desirable.
  • Technical Competence: Comfortable working with technology and learning new tools quickly. Familiarity with APIs, scripting, or other technical skills is a plus, but not strictly required.
  • Project Management Skills: Proven ability to manage projects from inception to completion, including requirements gathering, planning, execution, testing, and deployment. Experience with agile methodologies is a plus.
  • Analytical Prowess: Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions and assess the viability of AI use cases. Data-driven decision-making is essential.
  • Communication & Collaboration: Excellent communication and interpersonal skills. Ability to effectively collaborate with cross-functional teams, including technical and non-technical stakeholders.
  • Process Orientation: A natural inclination towards process improvement, documentation, and creating structure. Experience developing and implementing new processes is highly valued.
  • Education: Bachelor's degree in a related field (e.g., Computer Science, Engineering, or related field) required. Advanced degree preferred.

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