Data Science / Engineering Manager
- Published on
About the Role
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 products. In this role, you'll ensure your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments.
Your 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.
About the Candidate
Expectations:
- 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.
Nice to Have Skills:
- 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.
About the Company
IBM Software infuses core business operations with intelligence to help organizations be more responsive, productive, and resilient. IBM helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, and security.
Company Culture and Benefits
At IBM, you’ll learn and develop yourself and your career, encouraged to be courageous and experiment every day. Our IBMers are growth minded, always staying curious and open to feedback, transforming themselves and our company, and striving for exceptional outcomes. IBM is an equal-opportunity employer and is committed to compliance with all fair employment practices regarding citizenship and immigration status.