We are seeking an experienced Scrum Master to facilitate and guide an AI data engineering team building scalable data pipelines on Google Cloud Platform. This role requires a deep understanding of Agile methodologies combined with technical fluency in data engineering and ML operations. The ideal candidate will be adept at removing impediments, fostering collaboration, and enabling a high-performing team working on complex, technical initiatives. What project we have for you The team is building and evolving data and machine learning pipelines that power critical insights for the business. This environment moves quickly, with multiple streams of work flowing in from product, engineering, and analytics. To keep everything running smoothly, the team relies on a Scrum Master who can guide the group through the rhythm of Agile delivery, keep communication crisp, and help remove friction before it slows momentum. In this role, you’ll partner closely with the Product Owner, data engineers, ML engineers, and cross-functional technical teams. Each sprint involves shaping priorities, navigating dependencies, and ensuring the team has the clarity and support needed to deliver reliable, high-quality data solutions. You’ll play a central part in strengthening Agile practices, improving operational flow, and creating a space where the team can collaborate, innovate, and continuously improve. This project blends structured Agile discipline with creative problem solving. It’s a setting where teamwork matters, process maturity is growing, and the work directly influences how fast the organization can turn data into meaningful outcomes. What you will do Scrum Facilitation & Team Support Facilitate all Scrum ceremonies, ensuring they are productive, time-boxed, and valuable Coach the team on self-organization and cross-functional collaboration Remove impediments and blockers that prevent the team from achieving sprint goals Shield the team from external interruptions and help maintain focus on sprint commitments Foster a culture of continuous improvement through effective retrospectives Stakeholder Management & Communication Partner with Product Owner to maintain a healthy, prioritized product backlog Communicate team progress, risks, and dependencies to stakeholders and leadership Manage expectations and facilitate transparent communication between technical team and business stakeholders Coordinate with other Scrum Masters and teams to resolve cross-team dependencies Present metrics and insights on team performance to leadership Process Improvement & Team Development Identify and implement process improvements to increase team efficiency and quality Track and analyze team metrics to identify trends and areas for improvement Coach team members on Agile engineering practices relevant to data pipelines Facilitate knowledge sharing and skill development within the team Help the team establish and maintain sustainable working agreements and definition of done Risk Management & Quality Proactively identify risks and dependencies that could impact sprint or release goals Work with team to establish quality standards for data pipelines and ML workflows Ensure proper documentation and knowledge management practices are followed Support the team in balancing feature delivery with technical excellence and reliability What you need for this Core Scrum Knowledge Certified Scrum Master (CSM) or Professional Scrum Master (PSM) certification required Deep understanding of Scrum framework, roles, events, and artifacts Experience facilitating all Scrum ceremonies: sprint planning, daily standups, sprint reviews, and retrospectives Proven ability to coach teams and stakeholders on Agile principles and practices Experience with scaling frameworks (SAFe, LeSS, or Scrum@Scale) is a plus Agile Tools & Metrics Expert proficiency with Jira, including backlog management, sprint planning, and reporting Experience with collaboration tools such as Confluence, Miro, or similar platforms Ability to track and communicate team metrics: velocity, burn-down charts, cycle time, and throughput Understanding of cumulative flow diagrams and lead time analysis Experience customizing Agile workflows for technical teams Technical Domain Knowledge Data Engineering & Cloud Understanding Solid understanding of data pipeline concepts, ETL/ELT workflows, and data architecture Familiarity with cloud platforms, particularly Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub) Basic understanding of machine learning workflows and MLOps practices Ability to comprehend technical discussions around data quality, performance optimization, and scalability Understanding of software development lifecycle for data-intensive applications Development Practices Knowledge of CI/CD pipelines and DevOps practices Understanding of version control systems (Git) and branching strategies Familiarity with testing methodologies for data pipelines and infrastructure Basic understanding of infrastructure-as-code principles Awareness of technical debt management and refactoring initiatives What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.