KDN Solution Lead - AI

KDN Solution Lead - AI

Full-Time 80000 - 88000 £ / year (est.) Home office (partial)
K

At a Glance

  • Tasks: Lead AI solutions strategy and collaborate with global teams to drive innovation.
  • Company: Join KPMG, a global leader in advisory and technology services.
  • Benefits: Flexible work options, inclusive culture, and opportunities for professional growth.
  • Other info: Diverse and inclusive environment with a commitment to personal development.
  • Why this job: Shape the future of AI while making a real impact across industries.
  • Qualifications: Experience in AI/ML, strong leadership skills, and a passion for innovation.

The predicted salary is between 80000 - 88000 £ per year.

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 is a a global organisation 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 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 Define and provide 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 realisation
  • Own the solution scale up, utilisation, 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
  • 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 Generative AI, LLM and prompt engineering
  • Exsentive experience in technology within in 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 related field.

Preferred qualifications

  • Experience with Gen AI, 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 AAI 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.

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 recognise 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 maximises collaboration and empowers everyone at KPMG to bring their whole selves to work.

We encourage authenticity, honour individual priorities, and respect your choices.

With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients.

They provide us with a strong sense of identity, ensuring we can grow stronger.

They bind us together, across our different backgrounds and cultures, and are common to each of us.

Explore more about why Our Values matter.

From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you.

We’re committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background.

We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this.

We are a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.

  • We don't accept speculative CVs from agencies - you can see our policy on agencies here:
  • Similar vacancies you might be interested in
  • Business Solution Architect - Senior Manager
  • #J-18808-Ljbffr

KDN Solution Lead - AI employer: KPMG Careers

KPMG is an exceptional employer, offering a dynamic work environment where creativity and insight thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and mentorship within our leading Indirect Tax practice. Located across the UK, our collaborative culture fosters innovation and strong client relationships, making KPMG a rewarding place to build a meaningful career in financial services.

K

Contact Details:

KPMG Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land KDN Solution Lead - AI

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like KPMG Careers!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like KDN Solution Lead - AI at KPMG Careers.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like KPMG Careers.

Apply Directly through Our Website

When you find a suitable opening like KDN Solution Lead - AI at KPMG Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace KDN Solution Lead - AI

AI Governance and Regulatory Frameworks
Generative AI
LLM and Prompt Engineering
AI/ML Leadership
Machine Learning Frameworks
Cloud Platforms (AWS, Azure)
ML Algorithms

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at KPMG Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KPMG Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at KPMG Careers

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at KPMG Careers!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.