Senior Director, Data Science & Generative AI Strategy

Asurion; San Mateo (CA); On-site; USD 260,000 - 380,000; Full time

Job summary

Asurion, based in the Bay Area, seeks a Senior Director of Data Science to lead enterprise data science strategy, governance, and delivery. You will oversee teams building predictive, optimization, and generative models, partnering across functions to prioritize high-value use cases and drive measurable business impact.

You will establish enterprise standards for model development, MLOps, and responsible AI while balancing long-term platform investments with near-term initiatives.

Qualifications

• Advanced degree in a quantitative field or equivalent experience.
• 12+ years in data science or advanced analytics.
• 7+ years leading teams and complex programs.
• Proven delivery of measurable business outcomes.

Responsibilities

• Own enterprise data science strategy and multi-year roadmap.
• Prioritize high-impact use cases with executive stakeholders.
• Oversee model lifecycle, from discovery to productionization.
• Establish enterprise-level standards for MLOps and responsible AI governance.
• Develop talent, structure teams, and manage budgets.
• Communicate results and risks to senior leadership.

Skills

Data strategy

Executive communication

Stakeholder influence

Strategic planning

People leadership

Budget management

Model governance

MLOps

Generative AI

Data visualization

Experimental design

Predictive modeling

Machine learning

Data mining

Programming

Data modeling

Business intelligence

Mathematical modeling

Education

Advanced degree in quantitative field

Masters in statistics, computer science, or related discipline

Tools

Cloud certifications (AWS/Azure/Google Cloud)

ML/MLOps framework certifications

Job description

Asurion, based in the Bay Area, seeks a Senior Director of Data Science to lead enterprise data science strategy, governance, and delivery. You will oversee teams building predictive, optimization, and generative models, partnering across functions to prioritize high-value use cases and drive measurable business impact.

You will establish enterprise standards for model development, MLOps, and responsible AI while balancing long-term platform investments with near-term initiatives.