• Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges
• Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies
• Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans
• Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives
• Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems
• Make independent decisions on program, technical or operational strategy for the department
• Drive innovation across areas of responsibility identifying opportunities for operational changes and practices
• Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes

Requirements

• Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field
• 10+ years of experience leading high-impact machine learning solutions in a product-centric workplace
• Experience managing/mentoring high-performing teams of data scientists and engineers
• Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders
• Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing,
  
  
  
  and causal inference
• Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines
• Exceptional communication skills and ability to translate complex concepts to diverse audiences
• Demonstrated a mastery of end-to‑end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scale
• Proven ability to lead cross‑functional technical initiatives by coordinating with diverse stakeholder groups.

Core Competencies

Demonstrates expertise in leading high-impact machine learning solutions and managing complex AI engineering initiatives. Proven ability to drive innovation and operational efficiency while fostering cross-functional collaboration and stakeholder engagement.

Highest-signal resume keywords

• Machine Learning Expertise
• AI Engineering Management
• Cross-Functional Collaboration
• End-to-End ML System Ownership
• Strategic Direction and Leadership

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Statistics
• Data Science
• Optimization
• A/B Testing
• Causal Inference
• Model Design
• Feature Engineering
• Model Architecture
• Drift Detection

Soft Skills

• Exceptional Communication
• Stakeholder Engagement

Industry Keywords

• AI Roadmaps
• Operational Efficiency
• Resource Optimization
• High-Impact Projects
• Research and Development Lifecycle

Tools & Technologies

• Model Serving Platforms
• Feature Stores
• Data Pipelines