AI Adoption Specialist
Back to overviewWe are seeking an AI Adoption Specialist to bridge the gap between technical AI teams and business stakeholders. This role will ensure AI solutions align with business strategies, promote ethical AI practices, and drive innovation. The ideal candidate will help teams understand, trust, and collaborate on AI projects, alleviating fears surrounding AI through transparency and education.
Opportunity Description: Seeking an AI Adoption Specialist to bridge AI and business, ensuring our AI solutions meet business goals.
USP of the Opportunity: This role is central to our AI-driven business transformation, offering a chance to support and foster AI adoption and innovation.
Business Skills
- Communication: Clearly articulate AI concepts and deliver impactful programs.
- Coaching: Mentor and guide colleagues on AI-related topics.
- Project Management: Manage AI projects and collaborate across functions.
- Innovation: Continuously improve and stay updated with AI advancements.
- Problem-solving: Address AI-related challenges effectively.
- Adaptability: Manage changing AI priorities and workloads.
- Open-mindedness: Embrace new AI ideas and perspectives.
Technical Skills
- AI Familiarity: Knowledge of AI and machine learning technologies.
- Industry Tools: Stay informed about AI-specific tools and technologies.
- Data Modeling and Analytics: Understand AI program and project management methodologies.
Miscellaneous
- Experience: Minimum 7 years.
- Education: Bachelor’s or master’s degree, or equivalent experience.
- Certifications: Relevant AI training and certifications.
- MS Office Proficiency: Excel, Word, PowerPoint.
Responsibilities
- Educate and Build Trust: Conduct AI workshops and training, create transparency around AI projects, and address biases, privacy, and ethics.
- Collaborate and Coordinate: Work with business, project managers, and technical teams; manage cross-functional teams and relationships with clients and vendors.
- Facilitate Communication: Bridge gaps between technical and non-technical teams regarding AI.
- Bridge Teams: Translate AI concepts into business insights and ensure AI solutions align with business strategies.
- Oversee AI Programs: Manage AI-related programs, promote AI literacy, and drive organizational change.
- Mentorship and Legal Collaboration: Guide junior team members on AI, foster continuous learning, and ensure compliance with AI regulations.
- Identify Improvements: Find opportunities for sustainable AI improvements.
- Promote Ethics and Innovation: Advocate for ethical AI practices, monitor compliance, encourage creative AI applications, and stay updated with AI trends.
- User-Centric Design and Performance Monitoring: Ensure AI solutions are user-friendly, evaluate and optimize AI systems.
- Risk Management and Community Engagement: Identify and mitigate AI deployment risks, participate in external AI communities and events.
Career Path
- Typically, in business analysis or related fields with a focus on AI.
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