Company Overview
Our company is a leader in managing a diverse portfolio of projects across various industries. We are committed to driving innovation and transformation through digital capabilities and strategic leadership.
Role Overview
The Director of Digital Transformation will lead our digital initiatives, focusing on integrating innovative digital capabilities and experiences across the organization. This role involves collaborating with cross-functional teams and external partners to achieve strategic priorities and enhance business outcomes.
Key Responsibilities
- Identify and implement digital transformation strategies that align with business goals across all functional groups, leveraging machine learning and AI to drive innovation and efficiency.
- Collaborate with cross-functional senior leadership to define the vision, strategy, and roadmap for AI technologies, fostering a culture of innovation and continuous improvement.
- Drive the planning and execution of digital initiatives, ensuring alignment with business objectives, particularly in AI-driven data transformation.
- Utilize data-driven insights to inform decision-making and foster innovation through advanced analytics techniques.
- Assess and enhance the organization's digital capabilities landscape to maintain competitiveness in AI technologies.
- Promote a culture of continuous improvement and agile project management.
Qualifications
- Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field.
- 8+ years of experience in technical troubleshooting and digital capabilities, with a focus on data-driven solutions using machine learning and AI.
- 5+ years of experience leading complex digital transformation programs involving cross-functional teams.
- Proven track record of delivering business results through AI-driven initiatives.
- Excellent problem-solving skills, with the ability to synthesize data into useful formats.
- Experience with design thinking, iterative development methodologies, and AI technologies such as NLP, computer vision, and large language models (LLMs).
- Fluency in Python and experience with machine learning libraries such as Scikit-learn, and open source generative AI models.
