Operations Excellence Coordinator

Pilgrim's Europe; City of Westminster; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global insurance leader based in the UK seeks an Operation Excellence Data Mining & Analytics Lead. This role involves defining data practices to enhance operational efficiency and customer outcomes. Candidates should have proven experience in data analytics, hands-on expertise in machine learning, and a strong background in process mining tools. Join a dynamic environment that values innovation and offers flexible working options and growth opportunities.

Benefits

Flexible working

Competitive benefits

Opportunities for growth

Qualifications

• Proven experience in leading data analytics.
• Hands‑on expertise in data mining and machine learning.
• Strong background in process mining tools.

Responsibilities

• Lead the data strategy for OpEx mining and analytics.
• Identify process inefficiencies using advanced analytics.
• Develop dashboards to support transformation.

Skills

Data mining

Machine learning

Predictive analytics

Stakeholder management

Process mining tools

Tools

Celonis

UiPath

RE‑infer

Software AG

Signavio

Job description

Operation Excellence Data Mining & Analytics Lead

As the Operation Excellence Data Mining & Analytics Lead, you’ll be at the forefront of our Operational Excellence (OpEx) strategy. You’ll define and drive data practices, standards and capabilities that enable actionable insights from enterprise operational data. Your work will directly impact efficiency, customer outcomes and regulatory compliance.

Responsibilities

• Lead the data strategy for OpEx mining and analytics across UKI.
• Identify process inefficiencies and performance gaps using advanced analytics.
• Develop dashboards and reporting frameworks to support transformation and digitisation.
• Ensure governance around data quality, security and ethical analytics use.
• Translate complex data into clear, actionable insights for senior stakeholders.
• Build and manage high‑performing analytics teams, partnering with IT, AI and other guilds.
• Oversee resource allocation and guild standards to ensure consistent delivery.
• Collaborate with senior business‑unit leaders, product owners, agile coaches, data and AI engineering teams, and external suppliers.
• Work closely with our AI Hub, procurement and people functions.

Why Join Us?

• Be part of a global leader in insurance with a strong commitment to innovation.
• Drive meaningful change in how we operate and serve our customers.
• Work in a dynamic, inclusive and forward‑thinking environment.
• Enjoy flexible working, competitive benefits and opportunities for growth.

Qualifications

• Proven experience in leading data analytics.
• Hands‑on expertise in data mining, machine learning and predictive analytics.
• Strong background in process mining tools such as Celonis, UiPath, RE‑infer, Software AG, Signavio.
• Deep understanding of Business Process Architecture and value stream management.
• Exceptional stakeholder management and technical leadership skills.
• Experience in underwriting, claims, policy administration, or customer services is a plus.