Deputy General Manager

About The Company

Overview /Role Summary

Key Role & Responsibilities

• Develop and refine product requirements based on market analysis and customer insights, with the support of AI tools for data gathering and trend identification where feasible.
• Build and manage product roadmaps, incorporating AI-assisted tools for workflow efficiency and trend analysis, while maintaining focus on core business priorities.
• Enhance customer digital experiences by evaluating and piloting AI-enhanced interfaces or automation in limited, non-critical customer journey touchpoints.
• Formulate comprehensive product plans, leveraging AI-generated insights for value propositions and competitive analysis as supplementary inputs.
• Monitor and manage product performance metrics using dashboards that may include AI-supported analytics for operational and financial KPIs.
• Utilize AI tools for supportive tasks such as initial product profitability tracking and competitive pricing analysis, while relying on established processes for critical decisions.
• Provide data-driven forecasts and reporting on product revenues and costs, using AI-enabled analytics for support.
• Support Sales and Commercial teams with materials and guidelines, experimenting with AI-generated content for training modules and proposal drafts where appropriate.
• Encourage team upskilling and experimentation with AI tools relevant to product management, while maintaining focus on immediate business deliverables.
• Identify and document opportunities for future, more strategic AI integration as the organization’s AI maturity evolves.
  

Minimum Qualification & Experience

• Bachelor’s Degree in engineering or business or equivalent qualification
• Management Degree in marketing or Product Management experience is a plus
• 7-12 years in product management/sales related experience
  

Capability

• Strong technical and commercial orientation, with openness to learning about AI applications relevant to product management.
• Solution-driven mindset with an end-to-end perspective, using AI tools for supportive tasks where appropriate.
• Solid business acumen and industry knowledge, with the ability to interpret data and leverage AI-enabled insights for incremental improvements.
• Proficiency in data analysis and representation, with willingness to experiment with AI tools for enhanced insights.