Senior Director, AI Insights
New
L
Legends GlobalLive Events, Analytics
Remote - USAFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceBusiness AnalysisMachine LearningData scienceData visualizationNLP
Requirements
- 5+ years of experience in analytics or data science with a specific emphasis on AI utilization and implementation.
- Advanced degree in Data Science, Computer Science, Statistics, Business Analytics, or related field preferred.
- Strong understanding of machine learning, natural language processing, predictive analytics, and data visualization.
- Proven track record of applying AI insights to solve business challenges and drive results.
- Exceptional communication and storytelling skills, with the ability to translate technical detail into business value.
- Knowledge of data governance, privacy, and ethical AI best practices.
- Seasoned self-starter who is eager to apply business learnings across a portfolio of clients and drive insights.
- Ability to develop and own stakeholder relationships.
- Ability to work collaboratively in a consultative role.
- Significant experience communicating complex ideas to non-technical audiences.
- Excellent interpersonal and stakeholder management skills.
- A proactive approach to problem-solving and adding value.
Responsibilities
- Define the vision and roadmap for how AI-driven insights support organizational objectives.
- Identify opportunities where AI can enhance decision-making, uncover trends, and create competitive advantage.
- Partner with executive leadership to align AI initiatives with long-term business priorities and to define success metrics.
- Collaborate with product, marketing, sales, operations, and finance leaders to embed AI insights into decision-making.
- Partner with IT and data engineering to ensure scalable, secure data pipelines and infrastructure.
- Drive organizational adoption of AI tools and insights through storytelling, education, and stakeholder engagement.
- Continuously improve models and strategies based on performance, adoption, and business outcomes.
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