As an AI Analytics Architecture Specialist Leader, you will be at the forefront of shaping the future of data-driven decision-making in our organization. This is a unique opportunity to lead and inspire a dynamic team of data scientists, engineers, and analysts, driving the design and implementation of cutting-edge AI and analytics solutions. Your leadership will be pivotal in architecting scalable, intelligent systems that empower our organization to make smarter, faster, and more impactful decisions.
You will work with top-tier talent, collaborate with cross-functional teams, and help define the strategy and technical direction for our AI and data analytics initiatives. Your ability to bridge the gap between advanced analytics and business needs will play a critical role in our success.
Key Responsibilities
Lead AI & Analytics Architecture: Design and implement sophisticated, high-performance AI and analytics architectures that align with business goals. Ensure that these systems are scalable, reliable, and optimized for real-time insights.
Team Leadership & Mentorship: Lead a talented team of data professionals, including AI engineers, data scientists, and analysts. Foster a culture of innovation, collaboration, and continuous learning.
Strategic Guidance: Collaborate with senior leadership to define and execute the AI and analytics strategy, providing recommendations for the adoption of new technologies, tools, and methodologies.
Stakeholder Engagement: Work closely with internal stakeholders to understand business challenges and identify opportunities for AI and analytics to deliver value. Translate complex technical concepts into business-relevant solutions.
Innovation & R&D: Stay ahead of industry trends in AI, machine learning, and big data technologies. Lead research and development initiatives to integrate the latest innovations into the organization’s systems.
Data Governance & Compliance: Ensure that AI solutions comply with data privacy laws, regulations, and ethical guidelines. Advocate for best practices in data management and governance.
Qualifications
Educational Background: A Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience: 8+ years of experience in AI, data architecture, and analytics, with at least 3 years in a leadership role. A proven track record of successfully designing and delivering large-scale AI/ML solutions.
Technical Expertise: Deep understanding of AI/ML frameworks, big data technologies, and cloud platforms (AWS, GCP, Azure). Hands-on experience with tools like TensorFlow, PyTorch, Hadoop, Spark, etc.
Leadership Skills: Strong leadership abilities with experience in managing cross-functional teams, driving initiatives, and influencing stakeholders.
Problem-Solving & Innovation: Ability to think strategically and drive creative, innovative solutions to complex business challenges.
Communication: Excellent communication skills with the ability to present technical concepts to both technical and non-technical stakeholders.
