At a Glance
- Tasks: Lead the strategy for data analytics and AI across the organisation.
- Company: Join a forward-thinking company focused on digital transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and ethical AI practices.
- Why this job: Shape the future of AI and analytics while driving real business impact.
- Qualifications: Master's or PhD in relevant fields with extensive experience in AI and data analytics.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a highly capable and strategic VP Digital Insights and Artificial Intelligence to lead on the strategy implementation and governance of data analytics and AI platform architecture across the organization. This newly created role is responsible for shaping the company’s approach to information management, enterprise data management which includes data governance, data quality and data management; analytics, predictive analytics and AI while also ensuring the design, delivery and continuous improvement of the underlying technology platforms that enable these capabilities. This leader will partner with business stakeholders, IT and data science teams to identify high-value opportunities, deliver innovative and responsible AI solutions and build a robust scalable architecture that supports insight generation, process optimization and automation.
Your Role in our Future:
- Leadership: Define and lead the enterprise-wide Digital Insights & AI Platform Strategy ensuring alignment with business priorities and long-term technology roadmaps. Establish governance frameworks for data analytics and AI to ensure quality, security and ethical use. Drive adoption of AI, automation and analytics solutions across business functions to maximize ROI and efficiency.
- Information and Data Management: Lead the development and maintenance of information management and enterprise data management frameworks to ensure data quality, consistency and availability. Oversee data integration, taxonomy, metadata management and data stewardship initiatives. Ensure proper architecture and tooling for data pipelines, data lakes and enterprise reporting platforms.
- IT Platform Architecture & Delivery: Own the design, delivery and evolution of enterprise technology platforms that enable data analytics and AI. Define the technical architecture (data application integration and cloud architecture) to support business needs, scalability and resilience. Partner with IT delivery teams to ensure timely implementation of platform enhancements and upgrades. Evaluate and select technology solutions (BI tools, ML platforms, automation frameworks) that align with the enterprise architecture and future-proof the business.
- Analytics & Insights: Build and partner on advanced analytics and business intelligence capabilities to deliver actionable insights. Develop predictive and prescriptive analytics use cases that inform strategic decisions and improve operational outcomes. Champion self-service analytics and empower business teams to access and use data confidently.
- Responsible Artificial Intelligence & Automation: Identify, evaluate and deliver AI initiatives including: Conversational AI (e.g. chatbots, virtual assistants), Intelligent Automation (RPA, AI-driven decisioning), Machine Learning and Predictive Models for forecasting and optimization. Collaborate with product, operations and technology teams to embed AI into products, services and workflows. Drive process optimization initiatives using AI insights to reduce friction and improve efficiency.
- Collaboration & Stakeholder Engagement: Act as a trusted advisor to business and IT stakeholders identifying opportunities where AI and analytics can create business value. Build strong relationships with internal and external partners (vendors, technology providers, consultants) to accelerate capability building. Lead change management efforts to drive adoption of digital intelligence solutions and foster a data-driven culture.
- Team Leadership & Capability Building: Support the building of a high-performing team of data analysts, data scientists, solution architects and AI/automation specialists. Develop and deliver education and training programs on data literacy, analytics and AI best practices. Stay abreast of emerging trends and technologies in AI, machine learning, cloud platforms and analytics to inform strategic decisions.
Your Profile:
- Qualifications: Masters degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering or a related field. Executive education or certifications in AI strategy, digital transformation or innovation (e.g. MIT, Stanford, INSEAD programs). Certifications in cloud platforms (AWS, Azure, GCP) and data governance frameworks are a plus.
- Essential Experience: 8 years of experience in data analytics, AI or IT platform leadership roles. Proven track record of designing and delivering enterprise platforms for data and analytics. Demonstrated success in deploying AI, automation and predictive analytics initiatives that drove measurable business outcomes. Strong knowledge of enterprise architecture, data governance and platform delivery methodologies (Agile/DevOps).
- Technical Competencies: Deep expertise in: Machine learning, deep learning, NLP, computer vision, data engineering, big data platforms and analytics, AI/ML model lifecycle management (MLOps), cloud-native architectures and scalable AI infrastructure. Strong understanding of emerging technologies (e.g. generative AI, edge AI, synthetic data).
- Strategic & Business Acumen: Ability to translate complex AI capabilities into business value. Experience developing and executing digital intelligence strategies aligned with corporate goals. Strong financial acumen and experience managing large budgets and vendor ecosystems. Familiarity with industry-specific use cases (e.g. predictive analytics, automation, personalisation).
- Leadership & Communication Skills: Visionary leadership with the ability to inspire and mobilize cross-functional teams. Excellent stakeholder engagement skills including C-suite and board-level communication. Experience in change management and fostering a data-driven culture. Strong presentation and storytelling skills to communicate AI impact.
- Soft Skills: High emotional intelligence and adaptability. Ethical mindset and commitment to responsible AI. Collaborative and inclusive leadership style. Resilience and ability to navigate ambiguity and complexity.
- Desirable: Experience with international operations and multicultural teams. Thought leadership in AI (e.g. publications, speaking engagements). Active involvement in AI communities, consortiums or advisory boards.
Success Metrics:
- Delivery of scalable, secure and high-performing technology platforms supporting analytics and AI.
- Increased data quality and availability across business functions.
- Successful deployment and adoption of AI and automation initiatives.
- Demonstrated business value from predictive and prescriptive analytics use cases.
- Improved collaboration between business and IT teams on data-driven projects.
- Enhanced organizational data literacy and digital intelligence maturity.
VP, Digital Insights & AI employer: Quadient
As a leading employer in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored training programmes and opportunities to engage with cutting-edge technologies in AI and data analytics. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land VP, Digital Insights & AI
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your projects and achievements in digital insights and AI. This is your chance to shine and demonstrate how you can add value to potential employers.
✨Tip Number 3
Prepare for interviews by researching the company’s current AI initiatives and challenges. Tailor your responses to show how your experience aligns with their needs. Remember, it’s all about demonstrating how you can help them achieve their goals!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that dream job!
We think you need these skills to ace VP, Digital Insights & AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the VP Digital Insights & AI role. Highlight your experience in data analytics, AI, and platform architecture. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about digital insights and AI. Share specific examples of how you've driven successful projects in the past that relate to our goals.
Showcase Your Leadership Skills:As a VP, leadership is key! In your application, emphasise your experience in leading teams and driving change. We’re looking for someone who can inspire and mobilise others towards a common vision.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Quadient
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in AI, data analytics, and cloud platforms. Brush up on your knowledge of machine learning, predictive analytics, and enterprise architecture. This role is all about strategic implementation, so be ready to discuss how you can drive innovation and efficiency.
✨Showcase Your Leadership Skills
As a VP, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've led teams, managed change, and fostered a data-driven culture in previous roles. Highlight your experience in building high-performing teams and driving adoption of digital intelligence solutions.
✨Engage with Stakeholders
This position requires collaboration with various stakeholders, including C-suite executives. Be prepared to discuss how you've successfully engaged with business and IT teams in the past. Think of specific instances where you identified opportunities for AI and analytics to create business value.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about how you would approach challenges related to data governance, platform delivery, or AI initiatives. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
