At a Glance
- Tasks: Lead customer insight transformation and drive impactful projects with AI and data analytics.
- Company: Join KPMG's innovative Insight team focused on customer understanding.
- Benefits: Competitive salary, professional development, and opportunities for growth.
- Other info: Dynamic role with opportunities to lead teams and engage with senior stakeholders.
- Why this job: Make a real difference by transforming how businesses understand their customers.
- Qualifications: Experience in insight, data, and analytics; strong commercial mindset.
The predicted salary is between 70000 - 90000 £ per year.
Summary of Role Purpose: This role sits in the Insight team, within the Customer & Ops practice at KPMG. The team is responsible for capturing, organising and analysing customer data signals to help our clients drive growth through a better understanding of their customers, in order to drive impact and improve the reputation and efficiency of the Insight function within a business. The Insight team does this through 2 propositions:
- Voice of Customer (VoC): Programmes that continuously capture, analyse and act on customer feedback to drive enterprise decision-making. Our role is to design, implement and deliver these programmes.
- Insight Transformation: Helping clients leverage AI to transform how they operate and activate insight to improve performance and effectiveness.
Description of the role: This Senior Manager role is critical to both our propositions:
- Scaling KPMG’s Customer Insight Transformation proposition by providing market-facing authority to open senior conversations with CMOs / Chief Customer Officers.
- On VoC, leading the design thinking, set up and implementation and running a managed service, ensuring the highest level of client satisfaction in order to secure retention and growth.
The successful candidate will have:
- Market-facing authority to open senior conversations with CMOs / Chief Customer Officers.
- Ability to translate current Customer Insight client delivery into repeatable transformation narratives.
- Ability to diagnose client insight maturity.
- Ability to lead transformation workshops.
- Ability to co-develop compelling ‘Future of Insight’ go-to-market material that amplifies presence and expertise in key sectors.
- Credibility typically associated with Heads of Insight.
- Ability to own a small portfolio of target accounts.
- Ability to support partners in live market opportunities to drive pipeline creation and accelerate adoption of the proposition.
Key Responsibilities:
- Co-develop go-to-market material for our two key propositions, with reference to the team’s most recent engagements.
- Support our leadership team in market conversations.
- Diagnose client insight maturity and operating models.
- Run insight transformation workshops.
- Own a small portfolio of target accounts.
- On live engagements, lead a team of multidisciplinary professionals to deliver high quality insight, data & analytics solutions, including commercially relevant recommendations.
- Run and develop emerging and established accounts, building senior client relationships and driving deeper integration with our clients’ businesses.
- Be at the forefront on new technology and innovation within Insight sector, with particular focus on AI – becoming a champion of AI across the team.
- Manage project teams, getting the best out of junior colleagues, supporting their development and optimising resourcing across accounts.
- Support in running the Insight business as part of a wider customer practice, operational rigour in financial management to ensure strong profitability and accurate budgeting and forecasting.
The Person: Skills and experience: The ideal candidate is likely to have a blend of the following skills and experience:
- Experience in an insight, data, analytics and/or transformation role.
- Familiarity with transforming insight functions.
- A strong commercial mindset, continually seeking opportunities for new and existing account growth and cross sell opportunities.
- Sales-minded and opportunity-led: confident leading business development conversations, shaping propositions, and converting senior client conversations into qualified opportunities and pipeline.
- AI first mindset - interest in promoting and coaching colleagues in AI to drive efficiency and improve outputs.
- Thorough understanding of the VoC, customer data & insight technology landscape.
- Ability to engage and manage senior level stakeholders.
- Strong storyteller and workshop facilitator.
- Ability to lead teams to identify and deliver high quality insight and data solutions for clients.
Senior Manager - Customer Insight Transformation in London employer: our firm
KPMG is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront of our mission. As a Senior Manager in the Customer Insight Transformation team, you will have the opportunity to lead transformative projects, engage with senior stakeholders, and drive meaningful change for our clients while benefiting from extensive professional development opportunities and a commitment to work-life balance. Located in a vibrant city, KPMG offers a stimulating environment that encourages personal growth and the chance to be part of a forward-thinking organisation dedicated to leveraging AI and customer insights for impactful results.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Customer Insight Transformation in London
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We think you need these skills to ace Senior Manager - Customer Insight Transformation in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at our firm, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at our firm
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with our firm’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
