Chief AI Officer
2 days ago
We are seeking a highly motivated and articulate professional to lead the organizations Artificial Intelligence (AI) initiatives as Chief AI Officer. The ideal candidate will possess a strong understanding of AI concepts, combined with exceptional communication and stakeholder management skills, to drive AI adoption across the enterprise.
This position requires a balance of strategic vision, practical implementation capability, and the ability to influence and align cross-functional teams toward a shared goal of digital transformation.
Key Responsibilities
- Develop and execute the organizations AI strategy in alignment with overall business objectives.
- Identify and prioritize business processes where AI can deliver measurable efficiency or performance improvements.
- Lead the design, implementation, and scaling of AI-driven solutions in collaboration with internal teams and external partners.
- Evaluate, recommend, and integrate relevant AI platforms, APIs, and tools to support organizational goals.
- Conduct internal awareness and training programs to enhance AI literacy across departments.
- Monitor AI project performance, assess ROI, and prepare reports for senior leadership.
- Stay abreast of developments in Artificial Intelligence, Machine Learning, and Generative AI technologies to inform strategic decision-making.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
- Professional certifications in AI/ML, Data Analytics, or Generative AI will be an advantage.
Experience
- 24 years of professional experience in AI/ML development, data analytics, or implementation of AI solutions.
- Demonstrated experience in managing AI or automation initiatives, either internally or in a client-facing capacity.
- Exposure to widely used AI platforms and frameworks (e.g., OpenAI, Azure AI, Google Vertex AI, LangChain, Hugging Face, TensorFlow, PyTorch).
Key Skills
- Strong foundational understanding of AI and ML technologies.
- Excellent communication, negotiation, and presentation skills.
- Proven ability to influence stakeholders and drive organizational change.
- Analytical mindset with strong problem-solving capabilities.
- Ability to translate technical insights into actionable business outcomes.
Additional Requirements
- Strategic thinker with an execution-focused approach.
- High degree of professionalism, accountability, and leadership presence.
- Ability to operate effectively in dynamic and evolving business environments.
OKRs/Success in this role will be measured through clear, quantifiable outcomes such as:
- Number of AI use cases identified and deployed across functions within the first 6 -12 months.
- Adoption rate of AI solutions by internal teams (measured through usage metrics, active users, or process coverage).
- Efficiency or performance improvements achieved through AI initiatives (e.g., hours saved, accuracy gains, faster turnaround).
- Internal AI literacy levels improved through training sessions, workshops, or playbooks created.
- Tooling & Integration Impact: Number and quality of AI tools successfully integrated into business workflows.
- ROI or measurable business value delivered from AI implementations (cost savings, revenue uplift, or qualitative impact).
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