Head of Data Analytics CoE

  • Истекает 1 сентябрь 2025

Role Purpose

The Head of the Data Analytics Center of Excellence (CoE) is responsible for the execution and operational leadership of the organization's analytics enablement model across both agile (tribe/squad) and functional (operations/departmental) structures.

This role plays a pivotal part in implementing the defined analytics operating model, standards, and tooling strategy, helping squads and departments across the business unlock value from data. The function is non-centralized—instead of directly producing reports, this CoE empowers others to do so effectively, consistently, and securely.

Key Responsibilities

Execute Analytics Enablement Model

  • Operationalize the CoE’s defined strategy, operating model, and roadmap to scale analytics capability across the enterprise.
  • Ensure consistent rollout of approved processes, tools, and templates that enable decentralized teams to self-serve and act on data.
  • Serve as the CoE’s day-to-day lead, working closely with the Head of Data Management.

Support Tribes, Squads & Operations

  • Collaborate with squads in agile tribes (e.g. Underwriting, Claims, Product, Sales, CX) to co-develop dashboards, KPI libraries, and insight tools.
  • Partner with centralized operations teams to support decision-making, performance monitoring, and business planning with trusted data.
  • Act as a cross-functional connector and facilitator for business-driven analytics use cases.

Enforce Governance & Standards

  • Ensure compliance with enterprise standards for KPIs, metric definitions, reporting structures, and data quality.
  • Guide teams in applying best practices in dashboarding, visualization, and reporting design.
  • Promote and oversee the adoption of curated, certified datasets and analytics-ready assets.

Build Capabilities Across the Business

  • Coach and mentor analytics resources embedded in tribes and departments to ensure consistent skills and methodology.
  • Lead internal training initiatives to strengthen data literacy and promote effective use of BI tools.
  • Support the rollout and leadership of analytics communities of practice across the organization.

Drive Integration & Alignment

  • Facilitate the integration of internal and external data sources into business analytics workflows.
  • Partner with IT and data engineering to ensure infrastructure supports federated access and delivery models.
  • Act as an internal champion of data consistency and reuse across domains and teams.

People Management & Agile Ways of Working

  • Build and lead a small central enablement team responsible for CoE operations.
  • Promote agile delivery principles and cross-functional collaboration in analytics initiatives.
  • Contribute to organizational change management and transformation efforts related to data culture.

Required Qualifications

  • Bachelor’s or Master’s degree in Analytics, Information Systems, Business, Insurance, or a related field.
  • Minimum 8 years of experience in analytics, business intelligence, or data management, including 3+ years in team leadership or CoE execution roles.
  • Deep understanding of non-life insurance business models and analytics use cases (motor, property, claims, sales, etc.).
  • Demonstrated success in executing governance, tooling, and enablement programs in a federated or hybrid model.
  • Strong command of BI tools (e.g., Power BI, Tableau), SQL-based data environments, and KPI frameworks.
  • Excellent stakeholder engagement, communication, and change facilitation skills.

Preferred Experience

  • Experience working within or alongside agile organizations with tribes and squads.
  • Familiarity with data governance, metadata/catalog tools, and cloud-based data platforms.
  • Exposure to insurance regulatory reporting, operational dashboards, and performance scorecards.
  • Proficiency in building data communities, driving adoption, and leading cross-team enablement initiatives.

Interested candidates can apply by clicking the link provided in the "Apply" button.

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