Head of Artificial Intelligence

Head of Artificial Intelligence

The Role

We are looking for a proven AI leader with a strong customer centric mindset, solid background in innovation, creating and delivering AI/ML solutions, driving growth and collaborating across the company to accelerate incubation and delivery of new AI/ML based business capabilities.

Responsibilities

• You will lead a world-class artificial intelligence division comprised of experts in machine learning, data science, product management and software engineering. The division’s focus is on accelerating the impact of machine learning across the Group portfolio of companies developing AI-by-design services across multiple focus areas to improve the experience of our users and make our operations more efficient.
• You will be an effective evangelist of machine learning across the group; helping executives and stakeholders understand the capabilities and potential value of ML as well as its limitations. Leveraging a team of dedicated product managers you will oversee the manifestation of Machine Learning roadmaps for the various focus areas across the Group’s brands. To do this you’ll work closely with executives and relevant business units, providing ideas and insights to identify opportunities where ML solutions can drive meaningful business results. Part of this will include insights into build vs buy decision making.
• To execute on your roadmaps you will oversee multiple teams of highly talented data scientists, data engineers, machine learning engineers and product managers, aimed at delivering projects reliably against projected roadmap timelines. These roadmaps, along with their success metrics, will be set and communicated to stakeholders quarterly by you and your product team.
• You will be responsible for determining your talent needs and maintaining your own talent pipeline. With the help of ongoing coaching and performance feedback you will be responsible for developing and retaining employees under your purview.
• You will play a key role in determining which technologies, services, toolkits, data structures and methodologies should be employed to optimally achieve AI objectives.

Requirements

• 10+ years comprehensive advanced analytics, research, modeling/data science or relevant experience
• Leadership experiences in leading artificial intelligence and machine learning teams on a variety of business impacting areas that enabled innovation and business outcomes.
• Bachelor’s, Master’s or Ph.D. in AI, Computer Science, ML, Electrical Engineering or related fields such as Statistics, Applied Math or Computational Neuroscience.
• A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building ML MVP and scaling/productizing a prototype to full-scale production.
• Experience in leading and developing remote and distributed teams.

Key Attributes and Competencies

• A strong understanding of both the technical aspects of machine learning as well as business needs. Ability to bridge the gap between business and technology with respect to machine learning.
• Ability to go deep technically on which AI methodologies are best suited to specific business and customer problems, as well as elevate your thinking to consider business and strategic implications.
• Ability to facilitate thoughtful and constructive conversations within and outside the team and an ability to communicate complex ideas effectively.
• Enjoys making difficult things happen, leading the way in doing things for the first time, changing current ways of working and solving the many challenges along the way.
• Strong analytical skills to effectively create recommendations, influence decision-making, assess impacts, compare solutions, problem solve, and achieve business and/or technical objectives.
• High accountability when it comes to meeting deadlines and ship dates, and ability to lead numerous projects simultaneously under time constraints.

Technical Skills

• Strong experience in advanced analytics, research, modeling, data science, and business analytics.
• Strong hands on knowledge and experience in solutioning for enterprise wide needs in alignment with line of business priorities.
• Ability to manage both at the strategic and operational levels.
• Able to evaluate current market and industry trends and up to date with AI research.
• Solid understanding of nuances related to building machine learning models including data preparation techniques, feature engineering techniques, building machine learning (ML) deep learning models and related ML algorithms
• Stay up to date with current developments in the field of AI – Safe AI, Ethical AI, Fair AI etc.
• Proficient in understanding and optimizing Cloud AI/ML services on AWS, GCP, Azure; Cloud computing services

Salt is acting as an Employment Agency in relation to this vacancy.