锦鲤求职岗位描述
Working closely with business, operations, cyber security, risk and architecture partners, you'll drive measurable outcomes—modernising platforms, improving reliability and controls, and accelerating time-to-market—while developing talent and strengthening our engineering culture. Drive measurable outcomes through technology Deliver business value as quickly and as safely as possible, balancing pace with resilience and long-term sustainability. Own and actively manage a well-defined roadmap, including internal and external dependencies, ensuring transparent prioritisation and delivery governance. Coordinate planning across multiple value streams and teams, optimising plans to maximise benefits and minimise risk. Define performance measures that track delivery outcomes, client adoption/engagement and service health, and act decisively where outcomes aren't being met. Build great digital products, journeys and new capabilities Establish a strong client and stakeholder feedback loop, ensuring deliverables are accepted and lessons learned are captured through formal retrospectives. Develop and manage business cases (investment, benefits and financial linkage) and ensure benefits realisation through to implementation and transition. Manage budgets with strong control and transparency; act on variance and manage to the value proposition. Proven experience leading engineering teams (e.g., squad/feature teams) with accountability for delivery outcome. Strong hands-on software engineering background (or relevant engineering discipline) with experience shipping production systems in a complex, global, business-critical programmes and/or systems at pace. Experience making and influencing technical decisions (system design, integration patterns, data flows). Track record of improving engineering practices (quality, CI/CD, testing, reliability, observability). Stakeholder and Business Sponsor management experience being able to translate between technical detail and business impact. Direct experience mobilising and managing change and/or technology in a complex, multinational environment. Ability to make key strategic decisions that are pragmatic and grounded in practical solutions. Demonstrable experience leading delivery of AI/ML and/or GenAI-enabled capabilities in a regulated enterprise environment, from use-case selection through to production rollout and benefits realisation. Strong commercial focus with financial acumen (business cases, budgeting, benefits realisation). Excellent understanding of enterprise technology practices (including open-source engineering approaches). Knowledgeable on external technology trends and the regulatory environment. Clear communication and ability to translate complexity into plain language. Strong planning, governance, reporting and stakeholder management skills. Proactive risk and issue management; practical and pragmatic decision-making. Delivery at pace, collaboration, innovation and idea management. Proficient in any programming language; comfortable engaging with engineering teams on technical detail. Experience working with remote development teams and multiple development lifecycle methodologies; exposure to Agile.