Key Responsibilities  

• Sets clear performance objectives for self and staff and measures performance against objectives  

• Builds long-term relationships within team by creating an environment of safety and innovation, championing open and honest communication and leading with integrity  

• Support entities delivering to the supported business unit field organizations  

• Engage resources to facilitate escalation/resolution of technology issues raised by the business units  

• Manages day to day work of employees by monitoring budgets, expenses, scope, and facilitating project delivery and support for projects of critical importance.  

• Executes team strategy in support of Enterprise goals, clearly communicating strategy to the team  

• Deliver a wide range of services including onsite delivery leadership for major projects  

• Direct the business in navigating through the process for acquiring products and services 

• Engage technology resources in providing solutions which assure stability, minimize burden and enhance competitive posture to meet business demand.  

• Own the delivery of regulatory and compliance reporting, dashboards, and visualisations, ensuring outputs are accurate, controlled, auditable, and suitable for regulatory scrutiny. 

• Lead frontend reporting and dashboard creation, either hands-on or through the team, designing clear, consistent visualisations that present complex risk and compliance data in an understandable and defensible way. 

• Apply strong data and visualisation expertise to define metrics, controls, visual standards, and analytical approaches that support regulatory oversight and compliance assurance. 

• Translate regulatory, risk, and compliance requirements into data, reporting, and analytical solutions, ensuring reporting evidences control effectiveness and highlights emerging risks. 

• Lead the team’s maturity from reporting into analytics, developing capability to move beyond descriptive metrics into insight led analysis that identifies trends, anomalies, and control gaps. 

• Drive data automation, including automated data ingestion, transformation, refresh, and validation to reduce manual effort while improving reliability, traceability, and repeatability. 

• Ensure strong data quality, governance, and control, including clear ownership, consistent definitions, lineage, and auditability of both automated data pipelines and frontend reporting outputs. 

• Manage the relationship between the team and a business unit, understanding the business roadmap and developing and delivering timely communications to the business relevant to the technology roadmap, including business area implications.  

Essential Skills:  

• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.

• A minimum of 4 year's experience in data and visualisation using modern BI tools, regularly reviewing and improving dashboards and insight products to increase interpretability and reduce reporting ambiguity; able to challenge design decisions and guide teams to deliver outputs that meet defined business requirements. 

• Experience transforming complex data into actionable insights, producing reports and narratives that clearly link findings to business outcomes, resulting in improved decision‑making and increased stakeholder confidence in reporting accuracy. 

• A minimum of 2 year's experience in leading and developing high‑performing analytics teams, setting measurable objectives, coaching analysts/engineers, conducting performance reviews, and building a culture focused on learning, quality, and continuous improvement.

Desirable Skills:  

• Experience operating in a metrics, insights, or reporting function supporting technology, operations, or enterprise services. 

• Knowledge of visual design and data storytelling principles, ensuring insights are intuitive, accessible, and influence decision‑making. 

• Familiarity with ITSM concepts and tools, and how reporting supports incident, problem, risk, or performance management. 

• Experience working with data engineers, analytics engineers, or data scientists, bridging the gap between raw data and business insight. 

• Understanding of automation or self‑service reporting approaches, reducing manual effort and improving scalability. 

• Exposure to advanced analytics or emerging capabilities (e.g. predictive insights, AI‑assisted analysis, or LLM‑supported reporting). 

• Experience influencing reporting strategy, not just delivery—shaping what should be measured and why. 

Supervisory Responsibilities:  

• This job has supervisory duties.  

Posting date: Friday 10th April 2026 {11.59pm}