Principle Data Science and AI Solutions Architect

Introduction
This field is populated based on the Job Role ID; however it can be overwritten:
Focus on the role, not on IBM or business unit.
Candidates can learn about the company from places other than the Job Description; tell them about the role and WHY they should want it.

Your Role and Responsibilities
We are seeking a seasoned Principal Data Science and AI Solution Architect with a robust background in software engineering, data science, and artificial intelligence. The ideal candidate will have extensive experience leading transformative projects across support environments and developing advanced AI algorithms. This role is perfect for a dynamic leader who excels in data observability, hyper-automation, and support optimization.
Key Responsibilities:

• Advanced AI Solutions Development: Design and deploy innovative AI solutions to address complex business issues. Utilize a deep understanding of neural networks, natural language processing (NLP), and predictive analytics to significantly enhance business intelligence and support data-driven decision making.
• Leadership in Technology Integration: Drive initiatives that integrate state-of-the-art technologies into varied business processes to boost operational efficiency and enhance the customer experience. Ensure these technologies align with strategic business goals and deliver tangible, measurable improvements.
• Strategic Project Management: Utilize a proven track record in leading diverse teams and managing complex, multi-disciplinary projects. Apply extensive knowledge gained from senior data science roles to effectively manage and inspire cross-functional teams.
• Innovative Research and Development: Lead pioneering research in artificial intelligence, drawing on expertise from a Ph.D. in Data Science. Continuously push the boundaries of technology to maintain leadership in the field and contribute to the advancement of industry knowledge.
• Stakeholder Engagement and Solution Delivery: Effectively communicate and engage with stakeholders at all levels, from technical teams to executive leadership. Translate complex technical details into clear, strategic insights during customer engagements and high-level presentations.
• Mentorship and Team Development: Mentor and develop team members, enhancing their skills in advanced data science and AI technologies. Foster a culture of learning and innovation, leveraging extensive experience in leadership and project management to build a strong, capable team.

Required Technical and Professional Expertise

• Doctorate in Data Science or related field, with a focus on Artificial Intelligence.
• Extensive experience in AI, machine learning, and cloud architectures.
• Proven leadership in managing large-scale projects and teams.
• Strong technical proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks.
• Deep expertise in cloud computing solutions across platforms like IBM, AWS, and Azure.

Preferred Technical and Professional Expertise

• Experience in leading AI initiatives.
• Demonstrated ability in driving research and development in AI.
• Exceptional communication and team management skills.