Key Responsibilities:
Strategic Leadership:
- Develop and implement a comprehensive data and AI strategy aligned with the company's overall business objectives.
- Provide strategic guidance to the executive team on leveraging AI/ ML for competitive advantage.
Team Management:
- Lead and mentor a cross-functional team of data scientists, machine learning engineers, and data analysts.
- Foster a culture of innovation, collaboration, and continuous learning within the team.
Technology Architecture:
- Oversee the design and implementation of scalable and robust AI / ML architectures.
- Stay abreast of emerging technologies and recommend investments to keep KnowDis at the forefront of innovation.
Solution Development:
- Collaborate with product development teams to integrate AI capabilities into existing and new products.
- Drive the development of advanced analytics and machine learning models to solve complex business problems.
- Architect, optimize, and validate high-performing AI solutions, guaranteeing they meet both business needs and technical standards.
- Champion a culture of continuous learning and development, mentoring and coaching the team to excel in advanced AI methodologies.
Data Governance:
- Establish and enforce data governance policies to ensure the integrity, security, and privacy of the company's data assets.
- Work closely with legal and compliance teams to ensure alignment with relevant regulations.
Collaboration:
- Collaborate with cross-functional teams, including sales, marketing, and customer success, to understand client needs and deliver tailored data and AI / ML solutions.
- Build and maintain strong relationships with key stakeholders and external partners.
Qualifications:
- Proven experience in a leadership role within a data and AI-focused organization.
- Strong understanding of machine learning, deep learning, and other AI technologies.
- Demonstrated success in developing and executing data and AI strategies that drive business outcomes.
- Excellent leadership and team management skills.
- In-depth knowledge of data governance, security, and privacy best practices.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Education and Experience:
- Advanced degree in computer science, data science, or a related field.
- 5+ years of relevant experience in data and AI leadership roles and overall experience of 8 - 20 years.
- Proven track record of delivering successful AI / ML solutions in a business context.
If you are a visionary leader with a passion for leveraging data, AI and ML to drive business success, we invite you to join KnowDis and lead our talented team towards the forefront of innovation.