Associate Director

KPMG Delivery Network (KDN) is seeking a Product Owner to join its AI Foundry. You will play a pivotal role in leading and supporting agile teams, ensuring efficient and effective execution of AI projects. 

Key Responsibilities Include:

      Product Vision & Strategy

• Define and articulate the product vision and strategy for AI initiatives aligned with KPMG’s business goals.
• Conduct market research and competitive analysis to identify opportunities for AI product innovation and differentiation.
• Develop and maintain a comprehensive product roadmap, prioritizing features and enhancements based on business value and feasibility.

AI Product Lifecycle Management

• Oversee the entire lifecycle of AI products from ideation and development to deployment and maintenance.
• Collaborate with data scientists and engineers to ensure AI models are effectively integrated into products.
• Manage product backlogs, write detailed user stories, and define acceptance criteria to guide development teams.

Stakeholder Engagement

• Engage with key stakeholders, including clients, internal teams, and executive leadership, to gather requirements and feedback.
• Facilitate regular communication between stakeholders and the product development team to ensure alignment and transparency.
• Present product updates, roadmaps, and performance metrics to stakeholders and leadership.

Agile Product Development

• Lead agile product development processes, including sprint planning, daily stand-ups, and retrospectives.
• Ensure timely delivery of product features and enhancements by managing priorities and removing obstacles for the development team.
• Foster a collaborative and high-performing team environment focused on continuous improvement and innovation.

User Experience & Design

• Work with UX/UI designers to create intuitive and user-friendly interfaces for AI products.
• Ensure that AI solutions are designed with the end-user in mind, focusing on usability and accessibility.

Performance Monitoring & Optimization

• Define and track key performance indicators (KPIs) to measure the success and impact of AI products.
• Analyze product performance data to identify areas for improvement and drive data-driven decision-making.
• Implement feedback loops to continuously enhance product features and functionality based on user insights.

Compliance & Ethical AI

• Ensure that all AI products comply with relevant regulations, data privacy laws, and KPMG’s ethical guidelines for AI.
• Collaborate with legal and compliance teams to address any ethical considerations related to AI deployments.

Continuous Learning & Innovation

• Stay abreast of the latest AI trends, technologies, and best practices to inform product development and strategy.
• Encourage a culture of innovation within the product team, promoting the exploration of new AI methodologies and tools.

Educational Qualifications

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

Work Experience

• 10+ years of experience in product management, preferably within AI/ML or technology-driven environments.
• Proven track record of managing AI or technology products from conception to launch.
• Experience working in agile development environments and leading cross-functional teams.
• Relevant certifications in product management (e.g., Certified Scrum Product Owner, PMI-ACP) are advantageous.
• Certifications in AI/ML technologies or data science are a plus.

Skills

• Product Management:
• Technical Expertise:
• Agile Methodologies: Proficiency in agile methodologies and tools (e.g., Scrum, Kanban, Jira) to manage product development processes.
• Analytical Skills: Strong analytical and problem-solving abilities to assess product performance and identify improvement opportunities.
• Communication:
• User-Centric Mindset:
• Strong understanding of product management principles, including product lifecycle, road mapping, and prioritization.
• Ability to translate business needs into technical requirements and actionable user stories.
• Solid knowledge of AI/ML concepts, algorithms, and technologies.
• Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and cloud-based AI services (e.g., AWS AI, Azure AI, Google AI).
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong presentation skills for effectively sharing product vision, updates, and performance metrics.
• Focus on creating products that deliver exceptional user experiences and meet user needs.
• Ability to incorporate user feedback and insights into enhancements.