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For Companies At a Glance
- Tasks: Lead advanced analytics and AI projects to drive real-world business decisions.
- Company: Join a large organisation transforming into predictive analytics and applied AI.
- Benefits: Enjoy senior influence without direct management responsibilities.
- Why this job: Make a genuine impact by turning insights into actionable decisions.
- Qualifications: Experience in advanced analytics, predictive modelling, and stakeholder engagement.
- Other info: Opportunity for ownership and growth in a dynamic analytics environment.
The predicted salary is between 43200 - 72000 £ per year.
We’re working with a large, complex organisation that’s moving beyond traditional reporting and into predictive, decision-led analytics and applied AI. They’re now looking for an Advanced Analytics & AI Manager to lead this next phase — someone who can sit at the intersection of data science, advanced analytics and the business, and turn analytical capability into real-world decisions. This is a senior, hands-on role with significant influence, but no direct line management.
The role
- Leading cross-functional advanced analytics and AI projects, from problem definition through to delivery and adoption.
- Owning the backlog and roadmap for advanced analytics products, prioritising work based on impact, feasibility and data readiness.
- Bridging data science, analytics, engineering and business teams to ensure solutions are practical, explainable and actionable.
- Driving the adoption of new tools, platforms and analytical approaches that enable applied AI and predictive use cases.
- Presenting predictive insight and recommendations to senior leaders to support planning, forecasting and decision-making.
- Setting best practice and governance for advanced analytics across a hub-and-spoke data environment.
- Monitoring performance and adoption of analytics products, continuously improving their value and effectiveness.
- Ensuring appropriate data access controls, risk management and compliance are embedded from day one.
About you
This role suits someone who understands the theory of data science and AI, but prefers applied, business-focused delivery. You’ll likely have:
- Strong experience in advanced analytics, predictive modelling, decision intelligence or applied AI.
- A track record of owning analytics solutions end-to-end, not just building models.
- Confidence working with senior stakeholders, translating complex analysis into clear recommendations.
- Solid grounding in data platforms, analytics tooling and data governance principles.
- Experience operating in large or complex organisations, where influence matters as much as technical skill.
What this role isn’t
- Not a BI or reporting management role.
- Not a research-only or experimental data science position.
- Not a people-heavy management role.
Why apply
- Genuine ownership of advanced analytics and AI capability.
- Senior influence without people management overhead.
- The chance to move analytics from insight to real decision impact.
- A role that values clarity, pragmatism and commercial thinking.
Advanced Analytics & AI Manager in Worcester employer: SF Technology Solutions
Contact Detail:
SF Technology Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advanced Analytics & AI Manager in Worcester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Advanced Analytics & AI Manager role.
✨Tip Number 2
Showcase your skills in action! Create a portfolio or case studies that highlight your experience with predictive modelling and decision intelligence. This will help you stand out when discussing how you can drive real-world decisions.
✨Tip Number 3
Prepare for those interviews by brushing up on your storytelling skills. Be ready to explain complex analytics concepts in simple terms, especially when talking to senior stakeholders. They’ll appreciate your ability to translate data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and helping you find the right fit. Plus, it shows you’re serious about joining our team and contributing to the exciting world of advanced analytics and AI.
We think you need these skills to ace Advanced Analytics & AI Manager in Worcester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in advanced analytics and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Impact: When detailing your past roles, focus on the impact you’ve made rather than just listing tasks. We’re looking for someone who can turn analytical capability into real-world decisions, so share examples of how your work has influenced business outcomes.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain complex concepts, as we need someone who can bridge the gap between data science and business. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at SF Technology Solutions
✨Know Your Analytics Inside Out
Make sure you’re well-versed in advanced analytics and AI concepts. Brush up on predictive modelling and decision intelligence, as you'll need to demonstrate your understanding of how these can be applied in a business context. Be ready to discuss specific examples where you've turned analytical insights into actionable decisions.
✨Showcase Your Stakeholder Skills
This role requires strong collaboration with senior stakeholders. Prepare to share experiences where you've successfully communicated complex analyses in a clear and impactful way. Think about how you can illustrate your ability to bridge the gap between data science and business needs.
✨Demonstrate Practical Application
Focus on your hands-on experience with analytics projects. Be prepared to discuss how you've owned analytics solutions from start to finish, including problem definition, delivery, and adoption. Highlight any tools or platforms you've used that align with the organisation's goals.
✨Emphasise Governance and Compliance
Understanding data governance principles is crucial for this role. Be ready to talk about how you've ensured compliance and risk management in your previous projects. This will show that you not only care about the analytics but also about the integrity and security of the data involved.
