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Introdução

 

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.

Sua Função e suas Responsabilidades
  • 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
Formação requerida
Nenhum
Formação preferencial
Nenhum
Experiência Profissional e Técnica Requerida

 

  • 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
Experiência Profissional e Técnica Preferencial

 

  • 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

Sobre a Unidade de Negócios

Do aprendizado de máquina à IA generativa, o software IBM injeta inteligência nas principais operações de negócios para tornar as empresas mais responsivas, produtivas e resilientes. O software IBM ajuda os clientes a colocar a IA em ação para agregar valor real, de forma rápida e segura, à mão de obra digital, automação de TI, modernização de aplicação, segurança e sustentabilidade. Para isso, a capacidade de usar todos os dados é fundamental, porque a IA somente será boa se os dados que a alimentam também forem. Na maioria das empresas há dados locais, dados espalhados por diversas nuvens, dados em data centers privados e na borda. A plataforma de dados e IA da IBM escala e acelera o impacto da IA com dados confiáveis, além de fornecer recursos de ponta para treinar, ajustar e implementar a IA nos negócios. A plataforma de nuvem híbrida da IBM é uma das abordagens mais abrangentes e consistentes ao desenvolvimento, segurança e operações em ambientes híbridos, atuando como uma base flexível que utiliza os dados, onde quer que estejam, para estender amplamente a IA sobre os negócios.

SEU LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

Sobre a IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM 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.

Outros detalhes relevantes do cargo

For additional information about location requirements, please discuss with the recruiter following submission of your application.