At a Glance
- Tasks: Shape AI use cases and bridge business needs with tech solutions.
- Company: Join a world-leading energy company transforming into a future-focused leader.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of innovative energy solutions and make a real impact.
- Qualifications: 7+ years in AI delivery, strong analytical skills, and Agile experience.
The predicted salary is between 70000 - 90000 £ per year.
Exciting opportunity for an AI Business Analyst to join the Central AI Capability Commercial Operations team in this global energy company. This is an exciting time to join a world‑leading energy company as it evolves from a traditional oil and gas enterprise into a future‑focused energy leader, establishing a highly successful new power trading desk and venturing into cutting‑edge solutions such as advanced gas infrastructure, LNG technology, energy storage systems and green energy solutions.
The Role
The Business Analyst will be part of a central AI delivery team for Commercial Operations, acting as a shared capability across portfolios.
- Shaping AI use cases from problem statement to production
- Enabling consistent intake, prioritisation and value assessment
- Bridging business demand with AI delivery, governance and IT processes
- Preventing AI initiatives from stalling at PoC stage
Core Skills & Responsibilities
- AI Use Case & Value Analysis (Mandatory)
- Partner with Commercial Operations teams to identify, frame and prioritise AI use cases
- Translate business problems into clear AI‑ready use cases, including:
- Objectives and success criteria
- Expected business value (efficiency, risk reduction, speed, quality)
- Data inputs and constraints
- Support value tracking and benefits realisation, from initial hypothesis to post‑deployment review
- Business Analysis & Delivery
- Elicit and document lean, outcome‑driven requirements suitable for AI and data products
- Map current state processes and identify automation and augmentation opportunities
- Define acceptance criteria focused on business outcomes, not just technical completion
- Support PoC to production transition by clarifying scope, risks, dependencies and readiness
- Stakeholder & Governance Engagement
- Lead discovery workshops and structured problem‑framing sessions
- Act as a bridge between business, AI engineers, IT architecture, security and governance
- Support consistent engagement with demand management, risk and compliance processes
Tools & Ways of Working
- Experience working in Agile, iterative delivery environments with experimentation cycles
- Proficiency with:
- JIRA, Confluence
- Excel and SQL for analysis and validation
- Power BI / Tableau for value and performance tracking
- Familiarity with AI adjacent tooling and concepts (e.g., document automation, agents, NLP, LLMs) is a strong plus
- Experience supporting data or AI solutions moving into production is highly desirable
7+ years with strong hands‑on delivery exposure
- AI / automation use case storytelling and value articulation
- Change management and adoption planning
- Business process modelling and service design
- Experience working in federated or centralised capability models
- Experience in Commercial Operations and Trading & Supply environments
Qualifications
- Prince 2 Practitioner
- CBAP / CCBA / PMI PBA
- Agile certifications (Scrum, SAFe, Kanban)
Location
Hybrid: 3 days per week from London office
We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.
AI Business Analyst: Central AI Capability: World Energy Company employer: Eaglecliff
Join a world-leading energy company that is at the forefront of transforming the energy landscape. As an AI Business Analyst in our Central AI Capability team, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With opportunities for professional growth and development, along with a hybrid working model that allows for flexibility, this role offers a meaningful chance to contribute to cutting-edge energy solutions while enjoying a supportive environment in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst: Central AI Capability: World Energy Company
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by understanding the company's AI initiatives. Dive into their recent projects and think about how your skills can contribute. Show them you're not just another candidate; you're the perfect fit for their evolving energy landscape.
✨Tip Number 3
Practice your storytelling skills! Be ready to articulate your past experiences in a way that highlights your problem-solving abilities and how you've successfully bridged business needs with tech solutions. Make it relatable and engaging!
✨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 connect with us directly.
We think you need these skills to ace AI Business Analyst: Central AI Capability: World Energy Company
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Business Analyst. Highlight your experience with AI use cases, business analysis, and any relevant tools like JIRA or SQL. 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 tell us why you're excited about this opportunity and how you can contribute to our Central AI Capability team. Be specific about your past experiences and how they relate to the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex business problems in the past. We love candidates who can bridge the gap between business needs and AI solutions, so don’t hold back on those success stories!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Eaglecliff
✨Know Your AI Use Cases
Before the interview, dive deep into potential AI use cases relevant to the energy sector. Be ready to discuss how you would frame and prioritise these use cases, translating business problems into clear, actionable objectives that align with the company's goals.
✨Showcase Your Analytical Skills
Prepare to demonstrate your proficiency in tools like Excel, SQL, and Power BI. Bring examples of how you've used these tools to analyse data and track performance in previous roles, especially in relation to AI or automation projects.
✨Engage with Stakeholders
Highlight your experience in leading discovery workshops and engaging with various stakeholders. Be prepared to discuss how you've acted as a bridge between technical teams and business units, ensuring smooth communication and project alignment.
✨Emphasise Agile Experience
Since the role involves working in Agile environments, be ready to share specific examples of how you've contributed to iterative delivery processes. Discuss any Agile certifications you hold and how they’ve helped you manage change and drive successful outcomes in past projects.
