Head of Data Science (Commercial AI)

Role Overview

In this position, you will play a pivotal role in directing a talented team focused on harnessing the power of Commercial AI. Your leadership will be vital in ensuring that projects align with the broader strategic goals, while driving high-impact initiatives that enhance marketing and commercial performance through innovative machine learning and AI solutions.

Team Environment

Join a passionate group of Data Scientists and Engineers dedicated to building creative models that deliver personalized experiences and optimize decision-making. Working within the Technology sector, this team collaborates extensively across the organization, uniting data and insights to spur growth and stand out in the industry.

Key Responsibilities

• Provide strategic leadership and execution for Commercial AI initiatives.
• Set priorities and implementation strategy in collaboration with stakeholders across various teams to ensure alignment with company objectives.
• Build and nurture a high-performing AI team, fostering mentorship and growth opportunities.
• Lead the design and implementation of machine learning and AI pipelines to enhance marketing decision-making.
• Develop and refine predictive models, incorporating advanced machine learning techniques and the latest GenAI technologies.
• Oversee algorithm performance, including the design of QA metrics and validating measurable impacts through experimentation.
• Communicate effectively the impact and effectiveness of marketing AI applications at all organizational levels.
• Simplify complexities to gain buy-in and create alignment in achieving common goals.
• Contribute insights to broader organizational topics like platform strategy and supply chain integration.

Ideal Candidate Profile

• Experienced leader and domain expert in machine learning and AI, with a proven ability to maximize business impact.
• In-depth knowledge of digital marketing, prediction models, user behavior, and website performance.
• Skilled in managing high-performing teams, facilitating growth, and resolving challenges effectively.
• Adept at communicating complex system behaviors to both technical and non-technical audiences using data visualization techniques.
• Strong interpersonal skills, capable of influencing stakeholders and driving consensus on strategic initiatives.
• Ability to thrive in a dynamic environment, showcasing a proactive approach to problem-solving.
• Familiarity with cloud-based machine learning platforms and batch/streaming technologies is advantageous.