3 Search Technologies jobs in Ireland
Data Science / Engineering Manager
Mulhuddart, Leinster
IBM
Posted today
Job Viewed
Job Description
**Introduction**
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Global Head of Data Science and Visualisation
Dublin, Leinster
Marsh McLennan
Posted 19 days ago
Job Viewed
Job Description
Are you ready to lead a transformative journey in data storytelling? We are seeking a leader for a new role as Head of Data Science and Visualisation. A pivotal position that will shape our organization's approach to data-driven decision-making. In this role, you will establish and execute a groundbreaking strategy that emphasizes the art of data storytelling, enabling us to harness the power of data to drive insights and innovation across the globe. As the Head of Data Science and Visualisation, you will be at the forefront of our Data Science and Business Intelligence functions, guiding a talented team of professionals dedicated to uncovering the stories hidden within our data. Your leadership will not only influence our internal processes but will also advocate for the value of data-driven insights at all levels of the organization. You will collaborate with senior leadership and key stakeholders to identify opportunities where data science or visualizations can create significant value, ensuring that our initiatives align with our overarching business objectives. If you are a strategic thinker with a passion for data, a commitment to ethical AI practices, and a desire to foster a culture of continuous learning and innovation, we invite you to explore this exciting opportunity. Join us in our mission to elevate our data capabilities and drive impactful change through the power of storytelling. What can you expect: To join our Data, Analytics and AI Team on a journey to become a high-performance team that enables Mercer to unlock increasing value from its data through analytics and AI. To be supported by a strong team of experts in Data Engineering, Architecture, Analysis, and Project Delivery who will work with you collaboratively to achieve the goals of your team. The ability to shape this new capability for the organization. We will rely on you to: Lead strategically - guide and mentor a diverse team of 25 data scientists and business intelligence specialists, promoting professional development and encouraging ongoing learning and innovation. Leverage data in decisions - advocate for the value of data-driven insights across all levels of the organization including how you manage your team. Be a thought leader - explain the capabilities of your team to the broader organization and enable the art of the possible. Collaborate across functions - engage senior leadership and key stakeholders to identify business challenges and opportunities where data can drive value and with IT, operations, product and other departments to ensure seamless integration of data initiatives into business processes and systems. Innovate and define best practices - develop and execute a comprehensive MLOps strategy including model creation (classical ML, Fine-tuning LLM or Distillation), evaluation, and deployment, that aligns with the organization's overall business objectives and enhances decision-making capabilities. Promote ethical AI usage - Abide by and champion enterprise frameworks to ensure AI compliance with relevant regulations. What you need to have Strategic Leadership skills to guide and inspire a newly forming team and exert influence across the organisation. Must have experience running a data science team that has been able to deliver AI solutions to production. Hands on delivery experience at a senior level comfortable operating across multiple business lines and varying tech stacks. Experience working with and managing Business Intelligence platforms. What makes you stand out: Significant experience of a wide range of data roles is desirable, ideally with responsibility for the outcomes delivered through the data. Experience delivering solutions on our data technology stack (AWS, Databricks, ChatGPT, Power BI) . Having used data to drive transformation. Experience scaling a new team to deliver data solutions. Familiarity with one or more of our business domains (Health, Wealth and Career). Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities. Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.
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