Associate Partner - AI Lead (AI Lab)

Job Title: Associate Partner - AI Lead  

Job Location: Gurugram/Bangalore 

Key Responsibilities  

Leadership & Strategy  

• Develop and implement the strategic roadmap for KDN AI Internal Technology initiatives within Tax, Audit, and Advisory services.  

• Lead and inspire cross-functional teams to achieve project objectives and foster a culture of innovation.  

AI Technology Expertise  

• AI Agents & Technologies: Possess deep knowledge of AI agents, including their design, deployment, and optimization tailored to internal processes.  

• Tech Stack Proficiency: Stay abreast of the latest AI technologies and tech stacks (e.g., TensorFlow, PyTorch, Kubernetes, cloud AI services) to ensure internal initiatives leverage cutting-edge tools and frameworks.  

• AI Product Management: Oversee the lifecycle of internal AI products from ideation and development to deployment and maintenance, ensuring they meet organizational needs and enhance service delivery.  

Project Management  

• Manage the planning, execution, and delivery of internal AI projects, ensuring they meet scope, time, and budget requirements.  

• Implement robust project management methodologies tailored to AI initiatives, integrating agile practices where appropriate.  

• Handle multiple projects simultaneously, prioritizing tasks and resources effectively.  

Stakeholder Engagement  

• Build and maintain strong relationships with key internal stakeholders, including Tax, Audit, and Advisory teams, IT departments, and executive leadership.  

• Conduct pre-engagement activities to understand stakeholder needs and align AI initiatives with business objectives.  

AI Pillar Management  

• Tax AI Pillar: Drive the development and implementation of AI solutions tailored to enhance tax services, improving accuracy, compliance, and efficiency.  

• Audit AI Pillar: Lead initiatives to integrate AI into audit processes, enhancing data analysis, risk assessment, and audit quality.  

• Advisory AI Pillar: Spearhead AI projects that support advisory services, providing data-driven insights and innovative solutions for clients.  

Implementation & Optimization  

• Take ownership of the final stages of project delivery, ensuring successful implementation and integration of AI solutions within internal systems.  

• Monitor post-implementation performance, gather feedback, and make necessary adjustments to optimize outcomes and drive continuous improvement.  

Continuous Improvement  

• Stay updated with the latest AI trends, technologies, and best practices to continuously enhance KDN AI Internal Technology offerings.  

• Foster a culture of continuous learning and improvement within the team, encouraging the adoption of new technologies and methodologies.  

Compliance & Quality Assurance  

• Ensure all AI initiatives comply with relevant regulations, standards, and KPMG’s quality benchmarks.  

• Implement robust quality assurance processes to maintain high standards across all projects.  

Qualifications  

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Business, or a related field. A Master’s degree or MBA is preferred.  

Experience:   

• overall 22+ years of with minimum of 10 years of experience in AI project management, AI product management, technology consulting, or a related area within a professional services environment.  

• Proven track record of leading large-scale, internal AI initiatives within Tax, Audit, or Advisory services from inception to successful implementation.  

• Demonstrated expertise in managing AI products, including knowledge of AI agents and the latest AI technology stacks.  

Certifications:  

• Relevant certifications in project management (e.g., PMP, PRINCE2) and AI/ML technologies are advantageous.  

• Certifications in AI product management (e.g., Certified AI Product Manager) are a plus.  

Skills and Competencies  

• Leadership:  

• Strong leadership and team management skills with the ability to motivate and guide diverse teams towards common goals.  

Technical Expertise:  

• D eep understanding of AI technologies, including AI agents, machine learning frameworks (e.g., TensorFlow, PyTorch), data analytics, and their applications in Tax, Audit, and Advisory services.  

• Proficiency with the latest AI tech stack and cloud-based AI services (e.g., AWS AI, Azure AI, Google AI).  

 AI Product & Project Management:  

• Expertise in AI product management, including product lifecycle management, roadmap development, and go-to-market strategies.  

• Exceptional project management skills, including planning, execution, risk management, and resource allocation tailored to AI initiatives.  

Strategic Thinking:  

• Ability to think strategically and translate business objectives into actionable AI initiatives that drive organizational success.  

Communication:  

• Excellent verbal and written communication skills, with the ability to engage effectively with stakeholders at all levels.  

• Problem-Solving:  

• Strong analytical and problem-solving abilities to address complex challenges and drive innovative solutions.  

• Adaptability:  

• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.