Data Science / Engineering Manager

IBM

Ireland · Full-time · Mid-Senior

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

Preferred Education

None

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

Key Skills

Ranked by relevance

cloud machine learning mlops ai prototyping python mlflow java saas aws

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Country Guide

Ireland

English-speaking EU tech hub

Posted: Aug 30, 2025
Type: Full-time
Level: Mid-Senior
Location: Mulhuddart
Company: IBM

Industries

IT Services IT Consulting