- Development & implementation of an AI strategy for the UK audit business, working in collaboration with the other KPMG UK functions and the global Audit organisation.
- Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organisation.
- Collaborate with stakeholders and project managers to turn business goals into scalable technical solutions, delivering value for thousands of KPMG auditors.
- Oversee the AI model lifecycle, including training, monitoring and optimisation.
- Coach and mentor our team as we build production-grade data and machine learning solutions.
- Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies.
- Develop and execute a product roadmap for AI applications in audit, in alignment with the overall business strategy.
- Ensure that AI solutions are built responsibly and ethically, aligned with KPMG's Values.
- Effectively manage relationships with key technology alliance partners, ensuring value for money.
- Stay abreast of the latest AI and emerging technologies, proactively educating the business on the art of the possible and generating new ideas.
- Develop thought leadership in the application of AI within Audit, helping to strengthen KPMG's brand.
- Bachelor's degree in engineering, computer science or a related quantitative field.
- Minimum of 5 years of hands-on experience designing and implementing AI solutions at scale, with at least 3 years in a leadership role.
- Significant expertise in AI/ML fundamentals.
- Strong background in software engineering, data engineering and data platforms, with a track record of overseeing full-stack development and delivering production-grade solutions.
- Up-to-date knowledge of, and experience with, AI/ML technologies and their trends, including various libraries and tools (e.g. Azure AI/ML Studio, Azure OpenAI, Databricks, Python, langchain, Microsoft Semantic Kernel etc).
- Experience of implementing production-grade generative AI solutions, with knowledge of advanced generative AI concepts including prompt engineering, retrieval augmented generation, agents with skills/tools/functions, chains/planners, and LLM model evaluation.
- Knowledge of how products work, scale and perform.
- Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning.
- Advanced data science and mathematical skills (e.g. PhD in computational modelling, machine learning, statistics, computer science).
- Experience with modern databases, cloud environments, and data ecosystems.
- Experience defining and leading large-scale projects with multiple stakeholders.
- Experience within a leadership role where you have proven success with building and maintaining teams.
- Embrace and embed our culture ambition of high challenge, high support which is grounded in Our Values.
- Operate with a curious and sceptical mindset ensuring that this is embedded in your everyday work.
- Actively lead and embed a coaching culture to get the best out of others in an environment where everyone in the team feels empowered to speak up or challenge where appropriate.
- Be inclusive and embrace the opportunity to work with other teams within Audit and across the firm in an integrated way. Have a sense of community, purpose, and fun.
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Director - Head of AI - Audit Technology - Norwich, United Kingdom - KPMG
Description
The Role
We're looking for an experienced Head of AI to join the Audit technology team.
The individual in this role will be instrumental in transforming the audit function by leveraging AI technologies to streamline processes, enhance audit quality and provide valuable insights.
The individual will report to the Head of Analytics & AI.
Responsibilities
Experience & skills
People & Culture
Director - Head of AI - Audit Technology professionals in Norwich
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Paul Vousden
Artist with a PhD in Philosophy