Top Tech Jobs & Startup Jobs in Dublin

Lead complex, cross-functional Payment Integrity transformation projects from initiation through implementation. Define scope, milestones, governance, metrics, and execution strategies; manage dependencies, risks, stakeholders, and competing priorities; remove roadblocks; and drive accountability. Prepare executive communications and reporting, facilitate decisions, resolve conflicts, and improve project delivery practices. Use AI and digital automation to streamline execution and enhance business outcomes.

Serve as Scrum Master for Data and Analytics teams by facilitating Agile ceremonies, coaching teams and stakeholders, managing risks and dependencies, improving delivery predictability, and driving continuous improvement. The role partners with Product Owners and business and technology leaders to align priorities, coordinate multi-team delivery, support governance processes, and promote Agile maturity across complex data, analytics, and technology initiatives.

Leads the project management function for a Data & Analytics portfolio, managing project managers and overseeing complex data, AI, machine learning, technology, and reporting initiatives. Establishes governance, delivery frameworks, operating models, metrics, and resource-planning processes; drives Agile and Lean practices; manages executive communications and escalations; and develops high-performing teams through coaching, mentoring, and continuous improvement.

Leads complex data, analytics, reporting, AI, and technology initiatives from planning through adoption. Partners with business, product, data science, engineering, and operational stakeholders to establish roadmaps, governance, execution plans, and success measures. Manages risks, dependencies, resources, and executive communications while influencing strategic decisions. Guides cross-functional teams, mentors project professionals, promotes Agile and Lean practices, and drives continuous improvement and organizational adoption.

Designs, develops, tests, and supports cloud-native Java applications, REST APIs, microservices, and event-driven integrations on Azure. Builds scalable healthcare transaction-processing solutions, contributes to architecture and technical reviews, maintains automated tests and CI/CD pipelines, and supports production systems. The role also involves observability, troubleshooting, Agile collaboration, and working with product and engineering stakeholders.

Provides AI-enabled consulting across healthcare initiatives, supporting project and product management, process improvement, business analysis, requirements gathering, risk management, data analysis, quality assurance, and client delivery. The role collaborates with cross-functional technology and business teams, manages project milestones and deliverables, applies Agile methodologies, conducts research, supports testing, and drives measurable client outcomes.

Provides AI-enabled consulting to healthcare clients, advising on process improvement, digital products, project delivery, and operational performance. Leads complex workstreams, PMO frameworks, risk and issue management, stakeholder communications, data analysis, and client engagements. Applies Agile methodologies and AI tools to improve productivity and outcomes, while mentoring teams and ensuring delivery meets client value and financial objectives.

Leads the analytics strategy, roadmap, growth agenda, and portfolio expansion for Retrospective Coordination of Benefits and Reverification. Partners with Product, Operations, Technology, Growth, and Analytics teams to identify use cases, build business cases, measure financial and operational value, and drive adoption of predictive analytics, GenAI, and Agentic AI solutions. Advises senior leadership and resolves complex business challenges through enterprise-scale analytics initiatives.

Senior leader responsible for designing, delivering, and improving BI, reporting, analytics, and data management. Partners with stakeholders to prioritize initiatives, ensure data quality, define metrics, drive automation and AI-first improvements, and lead a team of analytics specialists to support operational and strategic decision-making.

Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.