About Cognizant Consulting
Cognizant Consulting is more than Cognizant's consulting practice. We're a global community of experts dedicated to helping clients reimagine their business. Blending deep industry and technology advisory capabilities, we create innovative business solutions for Fortune 500 clients. Now, we're looking for our next colleague to help shape the future of business. Could it be you?
About the Role
As a Technical Delivery Lead, you will make an impact by leading delivery on large-scale modernisation programs, moving business-critical legacy applications onto cloud-native target platforms on AWS and retiring the platforms behind them. Our modernisation delivery is AI-led. We apply generative AI and agentic automation to the most labour-intensive phases of the lifecycle, including code analysis, business rule extraction, code transformation, test generation and data migration, with every AI-generated output subject to human review and approval before it is promoted.
You will be a valued member of Cognizant Consulting, working alongside client stakeholders, program leadership, solution and security architects, engineering and quality engineering teams, data migration specialists and incumbent third-party vendors to take a group of applications from inventory through to decommissioning.
In This Role, You Will:
- Own end-to-end delivery for an assigned group of applications across the full modernisation lifecycle, spanning inventory and baseline, code analysis and business rule extraction, target architecture and design, build and integration, data migration, validation and testing, parity run, dual run, cutover, hyper-care and decommissioning.
- Plan and sequence delivery around technical dependency chains at portfolio scale, so that the systems producing reference and transactional data migrate ahead of the systems that consume them, and upstream slippage is surfaced and mitigated before it propagates downstream.
- Manage delivery against contracted milestones and formal acceptance criteria, assembling the evidence each stage gate requires, protecting the baselined scope, and raising change through the agreed mechanism where confirmed inventory deviates materially from that baseline rather than absorbing it silently.
- Lead an AI-led, human-in-the-loop delivery model, sequencing agentic tooling across analysis, extraction, transformation and test generation, and treating review capacity, subject matter expert access and evidentiary quality as first-order delivery constraints.
- Drive the quality and assurance gates, including system integration, regression, accessibility and non-functional testing, security and penetration testing, parity testing within agreed reconciliation tolerances, dual run reconciliation, business verification testing sign-off, and the joint go or no-go decision at cutover.
- Coordinate third-party and incumbent vendors, including structured knowledge acquisition where an application is currently supported by another supplier and that handover gates the start of modernisation work.
- Own the impact on the surrounding automation estate, from inventory and classification of the bots and robotic processes that interact with an application, through retrofit, remediation or replacement, to acceptance against baselined performance and business service levels.
- Steer delivery through constrained-source situations, where source code is missing, unavailable, or restricted from AI-assisted analysis, and the specification must be reconstructed through structured subject matter expert sessions and corroborated against documentation, behaviour analysis, test cases and incident history.
- Oversee data migration at scale, covering schema migration, trial loads, change data capture, rollback validation, reconciliation and cutover data preparation, together with archival for retiring applications.
- Run client-facing governance with credibility, contributing to monthly performance reviews, quarterly business reviews, change advisory board representation and steering committee reporting, and maintaining the risk, assumption, issue, dependency and decision registers that underpin them.
Close the loop on exit, confirming legacy switch-off, licence and access removal, batch schedule retirement and the associated reduction in legacy platform consumption, so that benefit is realised progressively rather than deferred to the end of a program.
What Success Looks Like
- Your applications move through their stage gates with acceptance evidence that stands up to client and audit scrutiny the first time it is presented.
- Dependencies, whether on the client, an incumbent vendor or an external party with long lead times, are visible and actively worked well before they become schedule events.
- AI acceleration translates into delivered, reviewed and accepted outcomes, not just generated artefacts.
- Cutovers are uneventful, and the legacy footprint is verifiably gone afterwards.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Sydney or Melbourne. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What You Must Have to Be Considered
- Substantial experience leading delivery on large-scale application modernisation, legacy platform exit or cloud migration programs in complex enterprise environments, with accountability for scope, schedule, quality, risk and dependencies.
- Hands-on delivery leadership modernising complex legacy applications, across one or more treatment paths such as refactor, replatform, re-architect or retire, and a practical understanding of what each path demands of a delivery plan.
- Experience delivering to AWS as a target platform, with working knowledge of landing zones, infrastructure as code, CI/CD pipelines, environment management and observability.
- A track record of delivering under a contracted, milestone-based commercial model, including formal acceptance criteria, evidence obligations, change control and dependency management with a client and its other suppliers.
- Demonstrated ability to plan and sequence work at portfolio scale, where the order of delivery is driven by technical dependency rather than convenience.
- Experience taking business-critical systems through cutover, including production readiness, parity or dual run validation, rollback planning and post-go-live stabilisation.
- Experience managing multi-vendor delivery environments, including incumbent transition and third-party coordination.
- Excellent communication, facilitation and consulting skills, with the ability to influence decisions at executive level and hold a clear line on quality and risk under schedule pressure.
These Will Help You Succeed
- Experience modernising legacy estates, such as monolithic Java, mainframes or .NET applications, on-premises packaged platforms, or end-of-life middleware and integration layers.
- Telecommunications domain experience across billing, rating and mediation, usage and call detail record processing, customer and account management, or network and service assurance.
- Practical experience of AI-assisted or agentic delivery tooling for code analysis, business rule extraction, transformation or test generation, and of the governance that keeps a human in the loop.
- Large-scale data migration experience, including multi-terabyte estates, archival and tape disposition, and reconciliation-led validation.
- Experience with robotic process automation or screen-automation estates, and with remediating them alongside the applications they drive.
- Delivery in a regulated or critical infrastructure context, including security architecture review, data classification and the handling of personally identifiable and commercially sensitive data.
- Delivery or program management certifications such as PMP, PRINCE2, SAFe or Agile equivalents, and AWS certification.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
