Head of Analytics
Ocado Group
- Hatfield, England, United Kingdom
- Hatfield, England, United Kingdom
À propos
Drive Last‑Mile Efficiency: conceptualise opportunities, develop strategic approaches, and pull together the right cross‑functional teams to optimise current operations. Deliver Operational Value: drive initiatives focused on turning advanced analytical/AI capabilities into operational reality, including improving store operations, maximising fulfilment efficiency, and optimising the use of chiller totes and capacity. Enable Better Decision‑Making: enable a higher volume of orders to be successfully fulfilled through better operational and data‑driven decisions. Lead and Develop the Team: manage the Last‑Mile analytics team, establishing clear standards for work prioritisation, scoping, and communication. Nurture Talent: oversee the technical and communication development of analysts to ensure insights are actionable, highly impactful, and easily understood by the business. Foster an Experimentation Culture: champion a culture of innovation and experimentation, negotiating decision rights, setting clear evidence standards, and encouraging testing over instinctual decision‑making. Manage AI Foundations: own the semantic and context layers for Last‑Mile, ensuring business definitions and metric logic remain accurate so AI‑generated outputs align seamlessly with real‑world operations. Optimise Feedback Loops: work with the central AI enablement function to design and maintain tight feedback loops between AI outputs and ground truth, helping stakeholders adopt and use these tools confidently. Qualifications
Complex Stakeholder Management & Influence: background in management consultancy or a similarly complex multi‑stakeholder environment; proven ability to operate in complex environments, structure ambiguous problems, create alignment around a shared vision, and challenge existing thinking at a senior/VP level. Influence Without Authority: exceptional communication and leadership skills, with a track record of driving change and bringing together disparate teams through pure influence rather than direct reporting lines. High Energy & Change Leadership: energetic, charismatic, and collaborative mindset with experience leading an analytics or change function through substantive operational methodology shifts. Tech & AI Landscape Literacy: strong, grounded understanding of current AI tools and data platforms; ability to distinguish genuinely useful solutions from noise and translate complex AI/data capabilities into commercial, operational business value. Analytical Foundations: solid analytical foundations necessary to set team standards for experimentation, metric architecture, and validating model efficacy alongside Data Science partners. Nice to Haves – Domain Familiarity: experience within operational, logistics, or last‑mile environments, bringing strong real‑world context to data analysis (highly valued, but a nice‑to‑have rather than essential). Data Science Exposure: history of working alongside data science or machine learning functions, understanding how to bridge analytics and operational modelling. Modern Data Tooling Experience: exposure to semantic layer tooling, data cataloguing, or AI evaluation frameworks. Benefits
Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more – and 30 days a year to work from anywhere in the world. Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance. Family‑first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave. Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest‑free loans for train tickets. Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations. Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Equal Employment Opportunity
We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier‑free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.