Chief Technology Officer (Data and AI Strategy) (Santa Clara, CA)

JOB DUTIES AND RESPONSIBILITIES

• Direct and manage cross-functional teams of data scientists, engineers, and analysts to build scalable data pipelines and architectures by applying advanced statistical methods (regression, time-series forecasting, A/B testing) and leveraging advanced analytics and visualization platforms to drive corporate decision making;
• Validate and optimize data-driven initiatives that powers customer acquisition, retention, and revenue growth;
• Oversee design and implementation of large-scale, cloud-based data infrastructure and ETL pipelines to support real-time analytics;
• Develop and execute governance frameworks to ensure compliance, data privacy, security, ethical use of AI and machine learning;
• Define enterprise-level data engineering AI strategies, solutions, ensuring automation and scalability;
• Oversee strategic KPIs at the enterprise level to ensure business units are aligned with long-term growth objectives and integration of structured and unstructured data for advanced analytics;
• Collaborate with C-suite executives to lead high-level initiatives and shape data-driven corporate strategies that drive customer growth and retention while identifying opportunities where data and AI can shape corporate vision, revenue growth, and competitive advantage;
• Lead the development, deployment, and optimization of advanced ML/AI models (predictive and prescriptive analytics) using TensorFlow, PyTorch, and Scikit-learn to enhance decision-making, solve ISP-specific challenges and maintain a competitive market advantage;
• Establish policy and enforce enterprise data governance frameworks covering data quality, integrity, security, and compliance;
• Foster a culture of innovation and continuous learning, mentoring leadership teams and ensuring adoption of best practices in data science, AI, and cloud engineering;
• Represent the organization externally, shaping industry standards and influencing regulatory and policy discussions related to data and technology;
• Manage budgets, maintain vendor relationships, and resource allocation to maximize organizational impact;
• Develop and optimize production-grade Python scripts to automate data collection, transformation, and machine learning pipelines and workflow, ensuring ETL scalability, maintainability and streamlining of data;
• Maintain, update, and validate databases to ensure data integrity, accuracy, and completeness;
• Provide technical support and resolve data-related inquiries from executive stakeholders.

EDUCATIONAL REQUIREMENTS

• Master’s degree in Data Science, Business Analytics, or a related field;
• 2 years of industry experience in the ISP sector, applying advanced analytics and AI/ML solutions to business critical challenges;
• Technical proficiency in: TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, Hive, Tableau, Power BI, Matplotlib, Seaborn, and Python (Pandas, NumPy, SciPy);
• Certification in Deep Learning or Machine Learning.

WORK LOCATION

Remote

BENEFITS

This is not a telecommuting job.

PAY

$276K-$286K