At a Glance
- Tasks: Identify and deliver high-value AI opportunities in financial services.
- Company: Join a diverse and inclusive team at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by shaping AI solutions that drive business success.
- Qualifications: Experience in business analysis and a solid understanding of AI/ML concepts.
The predicted salary is between 60000 - 80000 £ per year.
The AI & Innovation Consultant plays a pivotal role in identifying, shaping, and delivering high value AI opportunities across the organisation. The role blends technical, business analysis, AI technical understanding, and delivery coordination, ensuring that AI use cases are clearly defined, technically feasible, and successfully transitioned into production.
Reporting into the Chief AI Officer, you will be working closely with business stakeholders, solution architects, data teams, and external partners. The AI Value Analyst ensures all AI Core focus:
- Business Engagement & Requirements Gathering
- Lead discovery sessions with business stakeholders to identify AI opportunities and clarify business objectives, success criteria, and measurable value.
- Translate business needs into detailed functional and non-functional requirements for AI solutions.
- Assess business processes to identify feasibility, data availability, model requirements, integration needs, and adoption considerations.
- Technical Shaping & Solution Architecture Alignment
- Partner with Solution Architects to evaluate the technical viability of proposed AI solutions.
- Work with technical and solution analysts to create high-level and detailed solution designs, including data flows, model selection considerations, integration patterns, and security implications.
- Ensure all technical designs align with enterprise architecture principles and platform standards.
- Market & Vendor Evaluation
- Scan the external market for relevant AI tools, vendors, and technologies, assessing suitability, scalability, compliance, and cost.
- Prepare comparative analyses to support build-vs-buy decisions.
- Coordinate vendor engagements, proof-of-concept evaluations, and due-diligence activities.
- Value Tracking & Benefits Realisation
- Works with Business Teams and our strategy team to put in place OKRs, and measurement approaches for each AI initiative.
- Work with scrum masters, track delivery milestones, adoption metrics, and performance outcomes.
- Produce clear value-realisation reports for senior leadership, summarising impact, optimisation opportunities, and lessons learned.
- Innovation Culture & Organisational Enablement
- Contribute to workshops, ideation sessions, hackathons, and training activities that promote AI education and awareness across the organisation.
- Support continuous improvement of the AI Hub and innovation processes.
- Share market insights, emerging AI trends, and best practices with internal teams.
Experience and skills needed:
- Business & Analysis Skills
- Strong background in business analysis, including requirements elicitation, process mapping, stakeholder management, and benefits analysis.
- Proven ability to translate business challenges into technical AI requirements.
- Technical Skills
- Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation).
- Ability to interpret technical designs, data schemas, and integration patterns.
- Familiarity with cloud-based AI services (e.g., Azure OpenAI, AWS Sagemaker, Databricks, Microsoft Fabric).
- Delivery & Vendor Engagement
- Experience working with development teams using agile delivery methodologies.
- Comfortable coordinating across internal stakeholders, technology teams, and external partners.
- General Background
- 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles.
- Experience in financial services, pensions, investment management, or regulated industries.
- Experience in regulated sectors (pensions, financial services).
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
AI & Innovation Consultant - Value Driven, Financial Services in Slough employer: Sanderson Recruitment
As an AI & Innovation Consultant at our organisation, you will thrive in a dynamic and inclusive work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a commitment to innovation, ensuring you can grow your career while making a meaningful impact in the financial services sector. Join us in shaping the future of AI, where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Innovation Consultant - Value Driven, Financial Services in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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
Prepare for those interviews by practising common questions and scenarios related to AI and innovation. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your passion for AI! Share your insights on recent trends or projects you've worked on in your portfolio. This not only highlights your expertise but also demonstrates your enthusiasm for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace AI & Innovation Consultant - Value Driven, Financial Services in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI & Innovation Consultant. Highlight your experience in business analysis and any relevant AI projects you've worked on. 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 AI in financial services and how you can add value to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t shy away from mentioning your technical know-how! Whether it's AI/ML concepts or cloud-based services, let us know how you’ve applied these skills in real-world scenarios. We’re keen to see your technical chops!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your AI Stuff
Make sure you brush up on your AI/ML concepts before the interview. Understand the basics of supervised and unsupervised learning, and be ready to discuss how these can apply to financial services. This will show that you’re not just a business analyst but also have a solid grasp of the technical side.
✨Engage with Stakeholders
Prepare to talk about your experience in leading discovery sessions with business stakeholders. Think of specific examples where you identified AI opportunities and clarified business objectives. This will demonstrate your ability to translate business needs into actionable AI solutions.
✨Showcase Your Delivery Experience
Be ready to discuss your experience with agile delivery methodologies. Highlight any projects where you coordinated between internal teams and external partners, especially in regulated sectors like financial services. This will illustrate your capability to manage complex projects effectively.
✨Market Awareness is Key
Familiarise yourself with current AI tools and vendors relevant to the financial sector. Be prepared to discuss your thoughts on build-vs-buy decisions and any comparative analyses you've conducted. This shows that you’re proactive and understand the market landscape.
