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- Tasks: Lead AI-driven projects, optimising labour models and automating scheduling solutions.
- Company: Join Harri, a fast-growing tech company revolutionising workforce management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of AI in workforce management.
- Qualifications: Master's degree and 5+ years in consulting or enterprise SaaS experience required.
- Other info: Dynamic startup environment with a focus on innovation and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
About Harri: Harri is the first enterprise-ready workforce management platform built for the services vertical. The services vertical faces the greatest technological challenges that exist within the world of Human Capital Management and we believe they deserve a platform built from the ground up as a result. We have experienced a tremendous amount of growth since our inception and we have no plans on stopping that growth anytime soon. We are passionate about building a team of Service First-driven individuals who want to exceed the expectations of those who experience our brand. If you're a builder, or problem solver, and love the fast pace of a startup, it's time to meet the Harri family.
Who you are: This is a rare opportunity to influence the application of AI and game-changing automation at a massive scale. As a key member of our Professional Services team, you will be a client-facing consultant and an embedded partner to Product/Engineering, translating real-world operations data into the models and playbooks that drive our AI-powered, fully autonomous scheduling solution. Day-to-day, you will translate client business goals into sophisticated labor models, deploy Harri's Activity-Based Scheduling (ABS), and lead R&D workstreams (e.g., experiment design, quality evaluation) that advance our platform from decision-support to full decision-automation. This visible, executive-facing role is for a hands-on, entrepreneurial leader who can independently research and prototype AI approaches, test them with client data, and directly influence our product roadmap through lighthouse pilots and published outcomes.
Key Responsibilities:
- AI Labour Modeling Optimisation: Design, tune, and deploy sophisticated forecasting and labour models (fixed/guided/range-table), translating demand into optimised coverage, roles, and shifts using ABS. Champion "compliance-by-design" by embedding labour rules (minors, OT, breaks, fair workweek) into models and guardrails to ensure automation is safe by default. Calibrate schedules to financial and operational targets (labour %, throughput, SLAs), tracking KPIs to measure impact and coaching leaders on schedule quality.
- Agentic AI Autonomous Systems: Lead the client journey from decision-support to full autonomy by designing and running structured R&D workstreams, including parallel validation and guided automation trials. Conduct independent research to proactively learn, prototype, and improve our AI methods, turning successful experiments into repeatable, scalable playbooks.
- Executive Consulting Commercial Leadership: Serve as a trusted executive advisor on labour optimisation and scheduling autonomy, participating in client QBRs. Lead the full consulting lifecycle from presale, discovery (current-state assessment, value modeling) to delivery (workshops, change management plans, training).
Experience and Skills:
- Masters in Computer Science or MBA with 5+ years in Professional Services/consulting/WFM or enterprise SaaS (hospitality/retail multi-unit preferred).
- Deep hands-on experience with labour forecasting, wage modeling, ABS, and compliance tuning.
- Executive presence with proven C-level communication; translates model outputs into business decisions.
- AI fluency (practical): prompt/workflow design, agent orchestration concepts, interpreting model outputs/limits for stakeholders (no PhD required).
- Entrepreneurial, owner-operator mindset: drives independent research, prototypes, and client-facing experiments from zero to one.
- Bonus: exposure to POS/HRIS/payroll integrations; US UK labour/compliance familiarity.
*Please note this job description is not designed to cover or contain a complete listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time.*
Lead Ai Labour Intelligence Consultant – Professional Services in England employer: Harri
Contact Detail:
Harri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Ai Labour Intelligence Consultant – Professional Services in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect 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
Show off your skills! Create a portfolio or case studies that highlight your experience with AI and labour optimisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and consulting. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Harri family.
We think you need these skills to ace Lead Ai Labour Intelligence Consultant – Professional Services in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI Labour Intelligence Consultant role. Highlight your experience in professional services and any relevant projects that showcase your skills in AI and labour optimisation. We want to see how you can bring value to our team!
Showcase Your Problem-Solving Skills: In your application, don’t just list your qualifications; tell us about specific challenges you've faced and how you tackled them. We love builders and problem solvers, so share examples that demonstrate your entrepreneurial mindset and ability to innovate.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your potential fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Harri family!
How to prepare for a job interview at Harri
✨Know Your AI Inside Out
Make sure you brush up on your AI knowledge, especially in relation to labour forecasting and optimisation. Be ready to discuss how you've applied AI in real-world scenarios, as this role is all about translating complex data into actionable insights.
✨Showcase Your Consulting Skills
Prepare to demonstrate your consulting experience by sharing specific examples of how you've led client engagements. Highlight your ability to communicate effectively with C-level executives and how you've turned data into strategic business decisions.
✨Understand Harri's Platform
Familiarise yourself with Harri's workforce management platform and its unique features. Being able to discuss how you would leverage the Activity-Based Scheduling (ABS) in your role will show that you're genuinely interested and ready to contribute from day one.
✨Be Ready for Problem-Solving Scenarios
Expect to face some problem-solving questions during the interview. Prepare by thinking through potential challenges in labour modelling and automation, and how you would approach these issues. This will showcase your entrepreneurial mindset and hands-on approach.
