Senior Director, Commercial Decision Science & AI Strategy
USA IL - Vernon Hills, United States
USD 191K-307K Senior-level Full Time
Tasks
- Align commercial business strategy data strategy AI strategy and technology roadmaps
- Build and lead global decision science and AI leadership teams
- Build and scale machine learning predictive analytics and optimization engines
- Define decision science use cases and business requirements
- Define enterprise metadata management and data quality standards
- Define long term commercial data and AI roadmap
- Develop analytical assets for growth and revenue risk
- Drive adoption of generative AI and intelligent automation
- Establish KPI definitions metric hierarchies and semantic consistency
- Establish governance by design data trust and compliance controls
- Establish predictive prescriptive and scenario based decision frameworks
- Establish responsible AI principles and model monitoring
- Foster culture of learning innovation accountability and business impact
- Lead development and deployment of advanced analytics solutions
- Lead executive business reviews using forward looking insights
- Lead governance councils and stewardship forums
- Measure adoption business impact and return on investment
- Own commercial AI governance model risk management and AI policies
- Own enterprise commercial data and AI strategy
- Partner with legal privacy compliance cybersecurity and IT for regulatory alignment
- Set enterprise priorities and investment strategies
- Translate analytical outputs into actionable business decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agentic AI | Bias Mitigation | Causal analytics | Data Cataloging | Data Governance | Data Lineage | Data Management | Data Quality | Data Retention | Decision Intelligence | Experimentation | Explainability | Generative AI | Intelligent Automation | Knowledge discovery | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Metadata Management | Model Monitoring | Model Risk Management | Model risk | Optimization | Predictive Analytics | Recommendation Systems | Retrieval-Augmented Generation | Risk Management | Semantic layer | Simulation | Transparency
Education
Roles
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