Top Analytics Jobs in Dublin

The role involves applying advanced analytics in healthcare, developing coding solutions, collaborating with teams, and mentoring. Focus is on data science and improving healthcare outcomes.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, managing AI business rules and operational workflows, owning backlog and delivery, partnering with engineering and data science, and ensuring scalable, measurable AI platform capabilities and operational excellence.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, owning roadmap and delivery, managing AI rules and operational processes, partnering with engineering, data science, and operations, and ensuring scalable, measurable, and reliable AI platform capabilities.

Lead Technical Product Manager responsible for defining and executing AI-powered product roadmaps, managing AI rules and operational processes, owning backlog and delivery, collaborating with engineering and data science, and ensuring scalable, reliable, measurable platform capabilities.

Lead Technical Product Manager to define and deliver AI-powered products, manage AI rules and operational workflows, own roadmap and backlog, partner with engineering/data science/operations, and ensure scalable, measurable AI solutions.

Lead and deliver AI-powered products and operational services by defining roadmap, managing AI rules and metrics, partnering with engineering and data science, owning backlog and releases, and ensuring scalable, measurable, and reliable platform solutions across stakeholders.

Lead product definition and delivery for AI-powered capabilities: own roadmap, manage AI rules and operational workflows, prioritize backlog, lead agile ceremonies, partner with engineering and data science to ensure scalable, measurable, and reliable AI solutions, and communicate outcomes to stakeholders.

Lead Technical Product Manager defining and delivering AI-powered products and operational services. Own roadmap, requirements, backlog, and delivery; partner with engineering, data science, risk, and operations to ensure scalable, reliable, measurable AI solutions and optimize outcomes through monitoring and experimentation.

Lead Technical Product Manager responsible for defining and delivering AI-powered products and operational services. Own roadmap, backlog, feature prioritization, and cross-functional delivery. Drive AI rules, platform capabilities, APIs, integrations, and operational monitoring. Align products with business goals, measure outcomes, and optimize through experimentation and feedback.

Lead the definition, delivery, and operation of AI-powered products and platform services. Define roadmaps, manage AI business rules, prioritize backlog, partner with engineering and data science, ensure scalable APIs and platform architecture, and drive monitoring, experimentation, and cross-functional delivery to production.

Lead definition, delivery, and operationalization of AI-powered products. Own roadmap, backlog, requirements, and metrics. Partner with engineering, data science, business, risk, and operations to ensure scalable, reliable, and measurable AI solutions and drive continuous optimization and rule management.

Drive net-new logo acquisition by targeting and closing prospective enterprise accounts in Greece. Build territory plans, execute prospecting campaigns, apply sales strategy, orchestrate account transitions to Account Management, and meet new-revenue targets while traveling to engage customers.

Lead product ownership for Mastercard's next-generation disputes platform: define requirements, prioritize backlog, translate business needs into epics/stories, collaborate with engineering, data science, UX and regional stakeholders, drive AI-enabled automation, support global rollout and local market customization, and monitor product performance to increase adoption and operational efficiency.

Lead product ownership and roadmap execution for Mastercard's next-generation disputes platform. Define epics, features, user stories, and acceptance criteria; prioritize backlog; collaborate with engineering, architecture, data science, UX, and regional stakeholders; drive AI-powered automation and intelligent decision support; support global deployments while enabling localized market customization; run discovery workshops, support releases, and monitor product performance to increase adoption and operational efficiency.

Serve as Product Owner for Mastercard's next-generation disputes platform: define requirements, prioritize backlog, translate business needs into epics and user stories, partner with engineering, data science, and regional stakeholders, drive AI-powered automation opportunities, support global deployments while enabling local market customization, and monitor product performance to improve adoption and outcomes.

Lead product ownership for Mastercard's next-generation disputes platform: define requirements, prioritize backlog, partner with engineering, data science, and regional stakeholders, enable AI-powered automation, and drive global platform adoption while supporting localized market needs.

Serve as Product Owner for Mastercard's next-generation disputes platform: gather and prioritize global and regional requirements, define epics/features/user stories, manage backlog, collaborate with engineering, data science and regional teams, drive AI-powered automation, support releases and go-to-market, and monitor product performance to improve adoption and operational outcomes.

Lead product ownership for Mastercard's next-generation disputes platform: gather and prioritize global and regional requirements, define epics/user stories and acceptance criteria, run an agile pod, collaborate with engineering, data science and regional stakeholders, drive AI-enabled automation and decision-support features, and support release, deployment and adoption across markets.

Explore and validate complex enterprise datasets, conduct exploratory analyses and experiments, build reusable Databricks SQL and Python notebooks, identify data quality issues, and translate ambiguous business questions into evidence-based product recommendations. The role partners with stakeholders, documents analytical findings, creates semantic-layer assets, and supports transition of validated concepts to downstream engineering teams.

Build and scale an OLAP analytics platform powering real-time reporting and search. Ingest events, index into OpenSearch, expose data via federated GraphQL, ensure low-latency freshness and cost efficiency, collaborate with consumer teams, design platform APIs, and apply search and AI tooling to enable AI-driven features across Toast.

Lead a Dublin engineering team owning the OLAP platform for real-time reporting and AI-driven products. Define technical strategy, scale platform performance and cost, build cross-team partnerships, implement monitoring and operating mechanisms, mentor engineers, and enable safe AI-first platform capabilities.

The Senior Sales Manager will drive revenue growth in Poland by managing relationships with advertisers and media agencies, leading negotiations, and achieving sales targets.

Lead and build an integrated pharmacy analytics function to deliver KPIs, dashboards, and advanced analytics (AI/ML, predictive modeling) that improve community pharmacy operations, financial performance, and patient outcomes. Influence senior stakeholders, mentor analytics teams, set execution rhythms, and align cross-functional partners to drive measurable operational and financial results.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Design, develop, and operate large-scale backend systems and services for Pinner-facing features. Lead product development from ideation to release, build scalable APIs, use automated testing, collaborate across teams, mentor engineers, and leverage AI to improve workflows and quality.