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PwC Poland’s Cloud & Digital team is expanding its core insurance technology practice to provide advisory, design and implementation services across modern insurance solutions. The role focuses on leading claims transformation engagements and delivering measurable outcomes across the claims lifecycle, with emphasis on AI-enabled use cases and scalable solutions.
The candidate will work with data, AI, architecture, cloud, and core-platform teams to turn business concepts into production-ready
PwC is a global leader in cloud services, financial services’ digital transformations and modern digital architectures/solutions. PwC Poland’s Cloud & Digital team is a pivotal European organization that works with European, Global and Polish clients and teams alike. We focus on providing first-class services in all areas of cloud computing - such as Cloud Strategies, Cloud Engineering, D’n’A, DevSecOps, & Cloud Native to support our clients in their adoption of innovation, creation of new business models and streamlining their operational activities. In response to a growing client demand, we are now expanding the core insurance technology practice - a team of experienced practitioners focused on providing high-value advisory, design and implementation services around modern insurance solutions and technologies.
Leading claims transformation engagements and workstreams, from diagnosis and value-lever assessment through target operating model, roadmap, implementation and benefits realisation, Advising clients across the end-to-end claims lifecycle, including pre-claim and FNOL, coverage and liability assessment, reserving, damage assessment, supplier steering, fraud, litigation, recovery and subrogation, settlement, payment and closure, Translating claims pain points into measurable outcomes such as loss ratio, claims leakage, ULAE/ALAE, cycle time, straight-through processing, customer experience and operational resilience, Designing future-state claims processes, operating models and functional solutions, balancing automation with expert judgement, exceptions and human oversight, Shaping and prioritising AI-enabled claims use cases, including intelligent intake and document processing, triage, fraud detection, damage assessment, reserving, handler copilots, decision support, settlement benchmarking and recovery identification, Working with data, AI, architecture, cloud and core-platform teams to turn business concepts into scalable, integrated and production-ready solutions, Defining business cases, value hypotheses, requirements, process maps, controls, KPIs and implementation roadmaps; supporting vendor and platform selection where relevant, Leading client workshops and communicating recommendations to senior business and technology stakeholders, including Claims, Operations, COO, CIO and Data/AI leaders, Owning the quality, scope, risks, economics and delivery of assigned engagements or workstreams; coordinating multidisciplinary and cross-border teams, Contributing to proposals, pursuits, client relationships, reusable assets and market-facing viewpoints for Claims Transformation and AI in Insurance, Mentoring consultants and building claims, consulting and AI fluency across the team.
At least 5 years of professional experience, including substantial experience in insurance and claims transformation, consulting, technology-enabled change or insurance operations, Deep practical knowledge of non-life / P&C claims and the end-to-end claims value chain. Experience in motor, property, casualty, commercial or specialty claims is particularly relevant, Experience leading client-facing workstreams or projects and managing multidisciplinary teams, delivery plans, risks, dependencies, quality and stakeholder expectations, A track record in claims process redesign, target operating model, core claims implementation, digital claims, operational improvement, automation, data or AI-enabled transformation, Practical understanding of AI in claims, including appropriate use cases, data dependencies, limitations, human-in-the-loop controls, explainability, monitoring and responsible adoption. Hands-on AI engineering is not required, Ability to build a credible business case and connect technology changes to claims economics and operational KPIs, Working knowledge of core insurance capabilities across policy, billing, underwriting, distribution and finance, and how they interact with claims, Experience with business analysis and solution design methods, such as requirements elicitation, process mapping, operating model design, user stories, BPMN or functional specifications, Understanding insurance technology landscapes, integrations, APIs, data flows, and modern core platforms. The role is platform-agnostic, so knowledge of Guidewire, EIS, Sapiens, Duck Creek or similar platforms is an advantage rather than a mandatory requirement, Awareness of the European regulatory and control environment relevant to claims, data and AI, including GDPR, DORA and the EU AI Act, Strong analytical, facilitation, communication and presentation skills, with the confidence to challenge assumptions and advise senior stakeholders, Commercial mindset, including experience contributing to proposals, estimates, pricing or account development, Fluency in English and willingness to travel to clients when required.
Experience in claims leakage diagnostics, fraud, reserving, litigation management, supplier networks, recoveries or subrogation, Experience delivering AI/ML, GenAI, intelligent document processing, computer vision, decision-support or advanced analytics solutions in claims, Experience with claims data products, model governance, MLOps/LLMOps or Responsible AI controls, Knowledge of life and health insurance in addition to P&C / non-life, Experience in multi-country transformation programmes or global delivery models, Relevant insurance, business analysis, project management, Agile or core-platform certifications, Fluency in German or another European language.