Met Business Services (MBS) is a new way for the Met to deliver enabling services to all of our officers and staff. MBS is a front-line focused services organisation that sets our people up to succeed, reduces admin, delivers modern user-centric end-to-end solutions and provides a single source of truth for all HR, Finance and Commercial data — a critical cornerstone in fixing our foundations.
MBS will help every person and supplier working with the Met by:
- Building a modern and efficient business services directorate, strengthening Finance, Commercial, and Analytics capabilities while removing functional silos.
- Designing services around user needs and integrating them seamlessly, regardless of how they’re delivered.
- Providing intuitive, one-touch services that leverage technologies like Oracle Cloud, low-code tools, automation, and modern analytics.
As part of this transformation, we are establishing a new Analytics and AI capability that will enable evidence-based decision-making across MBS and beyond. We are now seeking a Analytics & AI Lead to own and grow our analytics and reporting capability, enabling data-led strategy, operational insight, and performance management.
This is an exciting time to join MBS and be at the heart of delivering “More Trust, Less Crime, High Standards”. You'll work across multiple directorates, influencing strategic decision-making and supporting front-line services with impactful data insights.
Key Responsibilities
- Lead the design, development and continual improvement of the MPS analytics products, with a focus on Oracle Analytics Cloud (OAC) / Oracle Fusion Data Intelligence.
- Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams.
- Manage and mentor a small team of reporting SMEs and analysts, fostering a culture of evidence-based delivery and user-focused design.
- Engage with stakeholders to understand their analytical needs, translating these into dashboards, reports, and automated solutions.
- Champion a culture of data governance, literacy, and evidence-based decision-making across the organisation.
- Analyse user feedback and data to uncover pain points, improve decision-making tools, and maximise the value of our data assets.
- Design and optimise cloud-based integrations to connect data across systems and services.
- Support operational change including test planning, user training, and change impact assessments.
- Present technical and strategic proposals to the Head of Product, outlining value, feasibility and cost-benefit cases.
- Drive data literacy across teams and develop reusable frameworks and patterns for analytics delivery.
- Drive an increase in productivity, better decision-making, improved customer experiences, and reduced operational costs.
Experience
- 5+ years in analytics, business intelligence, or data product roles, ideally within large or complex environments.
- Proven experience in implementing and delivering business solutions using Oracle Analytics Cloud (OAC) / Oracle Fusion Data Intelligence.
- Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics.
- Practical experience with ETL, data modelling, and dashboard/reporting development.
- Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels.
- Working knowledge of integration technologies and data pipelines (e.g. Oracle Integration Cloud, APIs).
- Public sector or shared services experience (desirable).
Knowledge and Skills
- Strong grasp of SaaS-based business applications, PaaS capabilities, and Oracle data architectures, including integration, scalability, and operational workflows.
- Knowledge of best-in-class ERP and analytics platforms and their role in business service transformation.
- Proficient in SQL, data modelling, performance tuning, and analytics security best practices.
- Familiarity with Oracle Cloud ERP or HCM modules and their reporting frameworks.
- Understanding of data security models, Oracle role-based access, and dashboard UX best practices.
- Familiar with distributed version control systems and modern analytics delivery workflows.
- Excellent communication and data storytelling skills; able to make complex insights accessible to non-technical audiences.
- Ability to coach and develop junior team members.
- Strategic thinking and a continuous improvement mindset.
- Experience of delivering Oracle Machine Learning, AI and business analytics solutions.
5. Qualifications
- Degree in Computer Science, Data Science, Information Systems, or equivalent experience.
- Familiarity of tools such as BI Publisher and OTBI (desirable)
- Oracle certifications in Analytics, Cloud, or Data Integration (desirable).
- Agile delivery experience or familiarity with iterative development and prioritisation frameworks (desirable).