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TAL

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Engineering Manager - Policy Servicing

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Summary

Leads TAL's Policy Servicing engineering function, managing eight engineering and support leads who operate and evolve core life-insurance policy administration platforms (PAS, Life400, CLOAS, EthIL/ILSA). Accountable for platform availability, technology risk, BAU delivery, cost and vendor performance, while driving a shift to DevOps/DevSecOps ways of working.

Job Description

The Engineering Manager – Policy Servicing leads the people, systems and processes that operate, sustain and evolve TAL’s Policy Servicing technology platforms, including PAS, Life400, CLOAS and EthIL/ILSA. Leading eight Engineering and Support Leads, the role is accountable for platform availability and recoverability, technology risk, business-as-usual delivery, workforce capability, cost and vendor performance, while driving the transition to DevOps and DevSecOps ways of working. The role will also support the adoption of approved AI-enabled development practices and ensure technology capability is aligned to Heritage and Direct Simplification and the longer-term direction toward Life400.

In this role you will:

  • People Leadership & Capability: Lead, coach and develop Engineering and Support Leads, building a high-performing, engaged and future-ready workforce with strong succession and cross-platform capability.
  • Platform Stewardship & Service Resilience: Own the health, availability, recoverability and ongoing sustainability of PAS, Life400, CLOAS and EthIL/ILSA, including incident management, disaster recovery and lifecycle planning.
  • Engineering Delivery & Prioritisation: Lead the prioritisation, resourcing and reliable delivery of business-as-usual engineering requirements, including regulatory, compliance, remediation, repricing and annual servicing activities.
  • Technology Risk, Security & Transformation: Proactively manage technology risk, cyber vulnerabilities, obsolescence and technical debt, while leading the transition to DevOps and DevSecOps and embedding approved AI-enabled development practices.
  • Commercial, Vendor & Stakeholder Management: Manage workforce capacity, costs and vendor performance, while providing clear visibility of delivery, risk, resilience and investment priorities through key planning and governance forums.

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