At a Glance
- Tasks: Identify and deliver high-value AI opportunities in financial services.
- Company: Join a leading firm driving innovation in AI and financial solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a focus on continuous improvement.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: 8-10 years in business analysis or AI project coordination required.
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 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, opportunities for professional growth, and the chance to work on cutting-edge AI projects within the financial services sector, all while being part of a diverse team committed to driving innovation and delivering meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Innovation Consultant - Value Driven, Financial Services
✨Tip Number 1
Get to know the company inside out! Research their AI initiatives, recent projects, and values. This way, when you chat with them, you can show off your knowledge and how you can add value to their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those interviews by practising common questions related to AI and business analysis. Think about how your past experiences align with the role and be ready to share specific examples that highlight your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace AI & Innovation Consultant - Value Driven, Financial Services
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 AI/ML projects, and don’t forget to mention any relevant financial services background!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills align with our mission at StudySmarter. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Since this role requires a solid understanding of AI concepts, make sure to include any relevant technical skills or projects you've worked on. Mention your familiarity with cloud-based AI services like Azure or AWS to stand out!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 real-world business challenges. This will show that you’re not just familiar with the jargon but can actually translate it into practical solutions.
✨Engage with Stakeholders
Prepare to talk about your experience in leading discovery sessions with business stakeholders. Think of examples where you identified AI opportunities and clarified business objectives. Being able to demonstrate your stakeholder management skills will set you apart from other candidates.
✨Showcase Your Technical Acumen
Be ready to discuss your understanding of technical designs and data flows. Familiarise yourself with cloud-based AI services like Azure OpenAI or AWS Sagemaker, as this knowledge will be crucial. Highlight any past experiences where you collaborated with solution architects to evaluate AI solutions.
✨Demonstrate Value Tracking Skills
Talk about how you've worked with teams to establish OKRs and measurement approaches for AI initiatives. Be prepared to share examples of how you tracked delivery milestones and produced value-realisation reports. This will illustrate your ability to ensure that AI projects deliver measurable benefits.
