Senior Director, Data Science and AI Agents

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

Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA.

Position Overview

The Senior Director of Data Science leads enterprise data science strategy, delivery, and governance to drive measurable business impact. This role oversees teams building predictive, optimization, and generative models, partnering with cross‑functional leaders to prioritize high‑value use cases. The leader establishes enterprise best practices for model development, MLOps, and responsible AI, and ensures outcomes align with corporate goals, risk standards, and compliance. The role balances long‑term platform investments with near‑term initiatives, fosters talent development, and communicates complex insights clearly to executives. Success is measured by adoption, ROI, and operational reliability of data science solutions.

Essential Job Skills/Duties

• 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.

Required Technical Skills

• Data Mining: Extract patterns and insights from structured and unstructured data.
• Data Modeling: Design structured representations of data to support analysis and system design.
• Data Visualization: Create charts, graphs, maps, and dashboards to communicate insights and trends.
• Experimental Design: Design and structure experiments, including variable selection, control groups, and bias mitigation methods.
• Machine Learning: Develop and apply machine learning models, including deep learning approaches.
• Predictive Modeling: Build statistical and mathematical models using historical data to forecast outcomes and identify trends.
• Business Intelligence Technologies: Use tools and platforms to collect, process, analyze, and display data through reporting and dashboard solutions.
• Programming Languages: Write and maintain code to develop analytical models, scripts, and data‑driven applications.
• Mathematical Modeling: Create mathematical representations of real‑world problems to support analysis and predictive insights.
• Generative Artificial Intelligence: Develop and apply generative models to create original outputs based on learned data patterns.

Required Soft/Leadership Skills

• Executive communication and storytelling with data.
• Stakeholder influence and strong cross‑functional relationship building.
• Strategic planning and portfolio prioritization discipline.
• People leadership, coaching, and succession planning.
• Change management and adoption enablement.

Required Education & Experience

• 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.

Preferred Education & Experience

• Masters in statistics, computer science, or related discipline.
• Leadership experience in large, matrixed organizations.
• Track record scaling platforms and reusable assets.

Preferred Licenses/Certifications

• Cloud certification in AWS, Azure, or Google Cloud.
• Certification in ML or MLOps frameworks.
• Responsible AI or model risk management accreditation.

Asurion is an equal opportunity employer. We hire the best available person for the job regardless of marital status, sex, gender orientation, age, religious belief, race, nationality and ethnic origin, color, or disability.