Strategic Planning:
- Develop and implement comprehensive AI strategies that align with the company’s overall business goals.
- Identify emerging AI trends and assess their potential impact on the organization.
Develop comprehensive roadmaps to ensure the effective implementation of our AI offering.
- Lead the ongoing management and refinement of the organizations AI go-to-market strategy.
Innovation and Development:
- Lead initiatives to integrate AI into existing products and services and identify opportunities for new AI-driven solutions.
- Collaborate with cross-functional teams to design, prototype, and launch AI-based products and services.
Stakeholder Engagement:
- Partner with stakeholders across the organization to understand their needs, pain points, and desired outcomes. Translate these into clear and actionable requirements for the AI offering.
- Work closely with senior leadership to communicate the value and impact of AI initiatives.
- Serve as the primary point of contact for AI-related inquiries from internal and external stakeholders.
Project Management:
- Oversee the execution of AI projects, ensuring they are completed on time, within scope, and within budget.
- Manage resources effectively, including AI specialists, data scientists, and external partners.
- Work with subject matter experts to collect, cleanse, and organize data to train and refine the AI knowledge base.
Serve as the primary liaison with the AI development team.
Ensure effective communication, collaboration, and alignment of deliverables with our business objectives.
Performance Monitoring:
- Establish metrics to measure the success and ROI of AI initiatives.
- Regularly review and report on the performance of AI projects, adjusting as needed to achieve desired outcomes.
Implement iterative improvements to enhance accuracy, efficiency, and effectiveness.
Thought Leadership:
- Represent the company at industry conferences, webinars, and other forums to showcase our AI capabilities.
- Publish thought leadership articles, whitepapers, and case studies on the application of AI for our clients.
Qualifications:
Education:
- Bachelor’s degree in computer science, engineering, data science, marketing or a related field.
Experience:
5+ years’ experience leading the development of AI/ML strategies and solutions, including Generative AI, Natural Language Processing, Computer Visioning, LLMs, etc.)
10+ years of total professional experience in technology, data, product, agency or another relevant technical field.
- Proven track record of successfully implementing AI solutions in a business environment.
Skills:
- Deep understanding of AI technologies, including machine learning, natural language processing, and computer vision.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to think strategically and translate business goals into actionable AI initiatives.
Certifications:
- Relevant AI certifications are a plus.