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About KDN (KPMG Delivery Network)
The world of global advisory, audit, and tax compliance services for large multi-nationals is rapidly changing and heavily dependent on technology. The KPMG Delivery Network (KDN) is a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. KDN helps to enable growth, improve economies of scale, and discover new ways of collaboration and working.
You’ll be a part of the KPMG family working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to KPMG's clients, and driving positive change in the communities we serve. You’ll be assisting KDN to accelerate new ways of working, using cutting-edge technology, and working together with our member firms located in nearly 150 countries to help us achieve our ambition to be the most trusted and trustworthy professional services firm.
Role summary
The KDN Solution Lead – AI will be a leader for the AI offerings, will be instrumental in arriving at strategy, plan, direct, and control the AI-associated solutions, evolve the portfolio, functions, and Delivery of all AI portfolio of solutions. Instrumental in defining and providing strategic and technical direction for AI solution and delivery operations.
How will you make your mark?
Key responsibilities include
- Develop and own the long-term strategy, value proposition, differentiation for the AI solution and offering
- Analyse market trends, customer insights, and competitive landscape to shape offering direction
- Act as the single point of accountability for stakeholders, Member Firms, and customers
- Collaborate closely with sales, alliances, and customer success to drive adoption
- Engage customers directly during solution demos, roadmap presentations, and escalations
- Ability to foresee AI’s long-term impact on industries and integrate it into organizational strategy
- Champion customer advocacy and long-term value realization
- Own the solution scale up, utilization, centre strategy, and P&L for the platform or solution portfolio
- Accountable for operational and Financial KPIs set for AI solution/service portfolio each FY
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This is the job for you if you have
- Exposure to AI governance and regulatory frameworks
- Experience in building AI business, solutions, and competency
- Experience in GenerativeAI, LLM, and prompt engineering
- Extensive experience in technology within an AI/ML leadership role
- Strong hands-on experience with ML frameworks
- Experience with cloud platforms (AWS, AZURE)
- Deep understanding of ML algorithms, LLMs, and AI architecture
- Proven experience in deploying AI solutions at scale across industries
- Strong stakeholder management and executive communication skills
- Leadership and people skills: Capable of guiding teams through digital transformation and AI adoption
- Ability to build talent, experience in building and mentoring AI teams, fostering innovation, and upskilling employees
- Ethical and Governance competencies: Responsible AI practices, knowledge of fairness, transparency, bias mitigation, and regulatory compliance
- Risk Management: Ability to anticipate and address ethical, legal, and risk implications of AI deployment and guide organizations and clients
- Bachelor’s degree in Computer Science or a related field
Preferred qualifications:
- Experience with GenAI, LLM finetuning, and prompt engineering
- Exposure to AI governance and regulatory frameworks
- Experience in building and scaling up AI competency and practice
- MBA or business leadership exposure is a plus
Experience and knowledge in delivering the following key focus areas:
- Strategy & Vision: Proven experience in defining and owning organizations AI roadmap aligned with business goals
- Experience in identifying high impact AI use cases across functions and evaluating emerging AI technologies for adoption
- Experience in driving AI-first thinking across the organization
- Proven experience in leadership and team building: Build, mentor, and scale AI/ML/Data Science teams and establish best practices for model development, deployment, and governance
- Proven ability to foster a culture of experimentation, innovation, and continuous learning
- Knowledge in AI solution architecture and delivery: Experience in overseeing end-to-end AI solution lifecycle till production, leadership to ensure scalable AI/ML architecture, and MLOps practices while ensuring responsible AI practices including ethics, bias mitigation, and compliance
- Proven experience in executive and stakeholder management: Experience in partnering with business leaders and clients to prioritize AI initiatives, present AI strategy and outcome to client and executive leadership, collaborate with platforms, product, security, and data teams
- Knowledge of governance and risk: Experience in defining AI governance framework for the organization, ensure data privacy, regulatory compliance, and model transparency. Ensure and monitor model performance and risk
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KDN is Inclusive!
Everyone brings a unique perspective. We want to harness diverse thinking by bringing bright minds together and valuing the differences that lead to stronger insights and innovation. At KDN, we recognize that we need Inclusion, Diversity, and Equality to be successful. We want to attract, retain, and develop diverse talent at all levels. This means recruiting from the widest possible pool of talent, removing barriers that can prevent our people from reaching their full potential, and fostering a fully inclusive environment which maximizes collaboration and empowers everyone at KPMG to bring their whole selves to work. We encourage authenticity, honor individual priorities, and respect your choices.
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