Similar Jobs
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
The Enterprise Account Manager will acquire and grow top enterprise clients in the cybersecurity space, leveraging company resources and industry insights to enhance client engagement and address their cybersecurity challenges.
Top Skills:
Cyber Resilience Saas
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Responsible for selling Acquia Source, managing business opportunities, engaging with executives, and driving sales through collaboration and client advocacy.
Top Skills:
AICmsSaaS
Artificial Intelligence • Big Data • Cloud • Security • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead and scale Nasuni's strategic global enterprise relationships, managing a team to drive growth and executive engagement in large accounts.
Top Skills:
Salesforce
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Scrum Master
Primary Skills
- scrum master with good exposure to Jira
- hands on experience working with data science or ML teams
- strong understanding of iterative development of data pipelines, model training , experimentation, and deployment
Specialization
- Agile Scaling Framework: Scrum Master
Job requirements
- Key Responsibilities:
- Agile Delivery Leadership Facilitate all Scrum ceremonies — daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
- Remove impediments and ensure the team’s smooth progress toward sprint goals.
- Coach the team and stakeholders on Agile principles and practices to ensure adoption and continuous improvement.
- Maintain transparency on team progress through effective use of Agile tools (e.g., Jira, Azure DevOps).
- Ensure proper sprint forecasting, story point estimation, and velocity tracking.
- Data Science & Engineering Collaboration Understand data science project lifecycles — from problem definition and data preparation to model training, validation, and deployment. Collaborate closely with data scientists, data engineers, and MLOps engineers to align sprint deliverables with business objectives.
- Facilitate cross-functional communication between business, data, and technology teams.
- Support teams in managing technical debt, model versioning, and experiment tracking. Ensure reproducibility, documentation, and traceability of data and model assets.
- Stakeholder & Delivery Management Act as a bridge between product owners, technical teams, and business stakeholders.
- Drive clarity in requirements and sprint goals by facilitating data-driven discussions.
- Manage dependencies and coordinate across multiple teams (e.g., data engineering, analytics, and platform).
- Ensure timely delivery of high-quality, production-ready data products and ML models.
- Support the Product Owner in backlog prioritization based on business impact and data readiness.
- Required Skills & Qualifications:
- Core Agile Skills Certified Scrum Master (CSM, PSM I/II, or equivalent).
- 3–5 years of experience as a Scrum Master in cross-functional Agile teams. Proven track record of managing multiple sprints and delivering analytics or data-centric projects.
- Data Science Competence Familiarity with data science concepts — data wrangling, model development, feature engineering, and evaluation metrics.
- Exposure to tools and technologies such as Python, SQL, Jupyter, MLflow, Databricks, Snowflake, or Azure ML.
- Understanding of the CI/CD process for machine learning (MLOps).
- Experience working with Data Engineers and ML Engineers on pipelines and data infrastructure.
- Soft Skills Strong communication, facilitation, and conflict resolution skills.
- Ability to translate complex technical concepts into business-friendly language.
- Excellent stakeholder management and problem-solving abilities.
- Proactive mindset with focus on continuous improvement and team empowerment.
Know what it’s like to work and grow at Brillio: Click here
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
