11 ai jobs found

Role overview The Performance Analyst will help AWTG and its clients understand how digital products, services and operational processes are performing. The role focuses on defining useful measures, analysing trends, producing clear reports and turning insight into practical recommendations for improvement. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Work with delivery, product and client teams to define KPIs, success measures, reporting needs and performance baselines. Collect, clean and analyse data from digital analytics, operational systems, service data and stakeholder inputs. Create regular reports, dashboards and visualisations that explain performance clearly to technical and non-technical audiences. Identify service trends, risks, bottlenecks and opportunities for improvement across products or...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Programme Delivery Manager Role overview The Programme Delivery Manager will be accountable for the delivery of complex digital, data and technology products and services at AWTG. The role focuses on managing programmes delivered by multiple teams, balancing delivery priorities, removing blockers and ensuring that high-risk work is planned, governed and communicated effectively. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Oversee complex programmes made up of multiple products, services or workstreams, coordinating delivery across multidisciplinary teams. Manage dependencies, risks, blockers, commercial constraints, budgets and people or resource priorities across the programme. Maintain delivery momentum by planning beyond individual product delivery, identifying cross-team dependencies and...

Lead Data Scientist Role overview The Lead Data Scientist will act as a leader, coach and champion for data science, managing teams, setting direction and building organisational capability. The role ensures data science work is technically strong, ethical, scalable and aligned to client and business outcomes. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead and manage data science teams or workstreams, setting clear direction and delivery priorities. Shape data science strategy, standards and reusable approaches across products, services or programmes. Coach data scientists and multidisciplinary teams in methods, tools, responsible AI and delivery practices. Oversee complex modelling, analytics and machine learning work, ensuring appropriate validation and assurance. Work with senior stakeholders to...

Senior Delivery Manager Role overview The Senior Delivery Manager will be accountable for the effective delivery of complex or high-risk products and services at AWTG. The role provides delivery leadership, manages senior stakeholder communication, resolves delivery risks and supports delivery managers and teams to deliver valuable outcomes. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Lead the delivery of complex digital, data or technology products and services through the full product or service life cycle. Establish effective delivery cadence, planning, reporting and governance practices that help teams deliver at a sustainable pace. Manage delivery risks, issues and dependencies, including those owned outside the immediate delivery team. Engage senior stakeholders and communicate delivery...

Delivery Manager Role overview The Delivery Manager will be accountable for the day-to-day delivery performance of a product or service team at AWTG. The role focuses on building motivated teams, removing obstacles, managing delivery flow and helping multidisciplinary teams deliver high-quality outcomes for clients and users. You will work with multidisciplinary teams across software engineering, cloud, data, AI, product, QA and client delivery to create practical outcomes for clients and end users. Key responsibilities Build and maintain motivated delivery teams with clear ways of working, priorities, cadence and responsibilities. Facilitate planning, stand-ups, retrospectives, reviews and delivery governance appropriate to the team context. Track and manage risks, issues, blockers and dependencies, escalating appropriately when delivery is at risk. Keep the team focused on the highest-value work and the outcomes needed for users, clients and...

Senior Product Manager Role overview The Senior Product Manager will lead one complex product or a group of related products, taking responsibility for product quality, value and outcomes. The role guides teams through the product life cycle and uses evidence to prioritise the work that delivers the greatest impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Set product vision, strategy and roadmap in collaboration with stakeholders, users and delivery teams. Lead prioritisation across product backlogs, balancing user value, business value, risk and delivery capacity. Use user research, analytics, performance data and market insight to make evidence-based product decisions. Work with multidisciplinary teams to deliver high-quality increments and continuously improve products. Define and track product...

Lead Product Manager Role overview The Lead Product Manager will provide product leadership across a portfolio, service area or major client programme. The role sets vision, strategy and roadmap direction, ensuring products deliver value for users and the organisation while supporting teams to deliver high-quality outcomes. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the product strategy, vision and roadmap across multiple products, teams or services. Balance user needs, business priorities, technical constraints and value for money when making product decisions. Coach and support product managers, helping teams apply Agile, Lean and product management practices effectively. Own senior stakeholder relationships and influence strategic decisions using evidence and user insight. Ensure product outcomes,...

Role overview The Performance Analyst will help AWTG and its clients understand how digital products, services and operational processes are performing. The role focuses on defining useful measures, analysing trends, producing clear reports and turning insight into practical recommendations for improvement. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Work with delivery, product and client teams to define KPIs, success measures, reporting needs and performance baselines. Collect, clean and analyse data from digital analytics, operational systems, service data and stakeholder inputs. Create regular reports, dashboards and visualisations that explain performance clearly to technical and non-technical audiences. Identify service trends, risks, bottlenecks and opportunities for improvement across products or...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....