Job Description:
The Director of Cognitive Infrastructure & Digital Twins is a senior management role responsible for overseeing the strategic planning, development, and implementation of cognitive infrastructure and digital twin technologies that drive innovation, efficiency, and insight across the organization. This role requires a visionary leader skilled in aligning technology initiatives with business goals, as well as the ability to lead cross-functional teams to deliver high-impact solutions. The successful candidate will possess deep expertise in artificial intelligence, machine learning, and data analytics, with a proven track record of advancing digital transformation initiatives. The Director will be responsible for fostering a collaborative culture, mentoring tech talent, and engaging with stakeholders to ensure the alignment of cognitive infrastructure with the organization's strategic priorities.
Job Requirements:
- At least 12 years of experience in technology leadership roles, with a focus on cognitive infrastructure and advanced data solutions.
- Proven ability to develop and implement large-scale digital transformation strategies that leverage digital twin technologies and AI methodologies.
- Strong knowledge of software development lifecycles, agile methodologies, and project management best practices.
- Exceptional track record of managing budgets, resources, and timelines for complex technology projects.
- Experience collaborating with diverse stakeholders, including executive leadership, cross-functional teams, and external partners to achieve organizational goals.
- Demonstrated ability to drive innovation through creative problem-solving and strategic thinking.
- Expertise in data governance, data quality frameworks, and ethical AI practices.
- Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong analytical skills with a focus on metrics, performance analysis, and continuous improvement.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; an advanced degree is preferred.
Job Responsibilities:
- Lead the strategic vision and roadmap for the integration of cognitive infrastructure and digital twin technologies within the organization.
- Oversee the design, development, and deployment of scalable digital twin models to support operational efficiency and data-driven decision-making.
- Collaborate with engineering, data science, and IT teams to ensure seamless implementation of cognitive solutions that address business needs.
- Establish and maintain governance frameworks to ensure data integrity, security, and compliance in all cognitive and digital twin initiatives.
- Mentor and develop team members to enhance their skills in cognitive technologies and digital twin implementations.
- Drive process improvement initiatives by leveraging advanced analytics and AI capabilities to optimize resource utilization.
- Engage with stakeholders across the organization to gather requirements, identify pain points, and propose innovative technological solutions.
- Present findings and recommendations to executive leadership to inform strategic business decisions and investment priorities.
- Monitor industry trends and emerging technologies to identify opportunities for innovation and competitive advantage.
- Foster a culture of experimentation and agility within teams to adopt and adapt new technologies swiftly.
Required Skills:
- Expertise in cognitive infrastructure principles, digital twins, and their applications across various industries.
- Advanced understanding of artificial intelligence, machine learning algorithms, and data analytics tools and techniques.
- Strong leadership and team management skills with a focus on building high-performing cross-functional teams.
- Exceptional strategic thinking and problem-solving capabilities.
- Proficiency in project management tools and methodologies, with a strong emphasis on agile practices.
- Solid understanding of data visualization tools and effective dashboard design for stakeholder engagement.
- Excellent verbal and written communication skills, capable of engaging effectively with both technical and non-technical audiences.
- Strong networking and relationship-building skills to facilitate partnerships and collaboration.
- Keen attention to detail and focus on delivering high-quality results on time.
- Adaptability to change and a proactive approach to identify and implement solutions in a fast-paced environment.
