
Chief Artificial Intelligence Strategist
1 week ago
We are seeking a seasoned leader to drive our artificial intelligence strategy and revolutionize matchmaking platforms. The ideal candidate will be responsible for leading innovation across personalized recommendations, fraud prevention, and customer engagement using data science.
This pivotal role requires the ability to develop and execute AI/ML roadmaps, integrate AI and LLM's to enhance developer productivity, and leverage recommendation engines to personalize matchmaking and content discovery.
Responsibilities:
- Develop AI/ML strategies that power personalized matchmaking, fraud detection, and real-time decision-making models.
- Lead the integration of AI and LLM's to drive developer productivity, automated testing, and code quality.
- Leverage recommendation engines to personalize matchmaking, content discovery, and enhance overall CX/RX.
- Deploy LLM-based solutions to elevate customer support, retention journeys, and contextual engagement.
- Advanced Analytics for Business Growth: Develop analytics initiatives that drive revenue growth, optimize conversion rates, and improve engagement by turning data into actionable insights.
- Team Leadership & Innovation: Build, inspire, and lead a world-class data science team, fostering a culture of continuous learning and collaboration.
- Cross-functional Collaboration: Partner closely with Product, Engineering, Marketing, and Leadership teams to align AI/ML innovations with business objectives.
- Drive Operational Excellence: Implement best practices in data science, ensuring operational efficiency and scaling AI solutions that directly impact the business KPIs.
- Strategic Partnerships: Establish and maintain partnerships with top academic institutions and tech companies to stay at the forefront of AI/ML innovations.
Required Skills and Qualifications:
- Ai/ml Experience: Langchain, GPT APIs, Retrieval-Augmented Generation (RAG), Recommendation Systems, AutoML
- Data Intelligence: Real-time Analytics, Data Pipelines, Customer Journey Insights, Churn Prediction Models
- Programming skills: Python, R, or other languages used for data science
- Strong Strategic, Creative, and Analytical Skills
- Team leadership and development experience
- Business and Financial Acumen
- Analytical thinking and problem-solving
Qualifications:
- Minimum 18 years of technology leadership experience, including 5+ years in AI product development
- Bachelor's degree in Computer Science or related field; MBA or executive education preferred
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