Advanced Analytics & AI Capabilities Director
About the position
Responsibilities
• Engage with senior business leaders to understand long-term strategic challenges.
• Develop and deliver change management plans and achieve outcomes that support the organization's overall strategy.
• Develop a comprehensive policy framework for a significant area of the business and oversee its implementation.
• Provide integrated, long-term solutions and strategies for a significant area of responsibility.
• Develop strategic solutions to long-term business needs by anticipating complex issues, challenges, and opportunities.
• Act as the practice lead to define and develop the standard of excellent practice.
• Communicate the function's strategy and its relationship to the organization's mission, vision, and values.
• Identify the capabilities needed to meet the current and emerging business needs of a significant business area.
• Take responsibility for developing and delivering a major part of the organization's product development program.
• Set strategic direction and develop policies, methods, and procedures for bid solicitation and tender analysis.
Requirements
• Master's or PhD in Data Science, Mathematics, Physics, Computer Science, Industrial Engineering, or a related field.
• 10+ years of experience in data analytics, AI, and/or machine learning, with proven success in value-based initiatives.
• Expertise in consulting with private and public clients to unpack/define needs and performance measures.
• Strong knowledge of data architecture, governance, and modern data platforms (cloud, big data, IoT).
• Ability to direct and apply the use of analytics tools (e.g. Python, R, SQL) and cloud platforms (e.g. GCP, AWS, Azure).
• Expertise with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Power BI, Looker, Tableau).
• Expertise with the branches of AI, including ML, NLP, Computer Vision, Robotics, and Expert Systems preferred.
• Experience with CRM analytics, pricing optimization, and sales enablement tools preferred.
• Certifications in AI, data strategy, or digital transformation preferred.
• Experience implementing enterprise-level data platforms and analytics governance frameworks preferred.
Benefits
• Hybrid work model combining in-office collaboration and flexibility.
• Opportunity to work with an energetic and high-performing team.
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