AI Scrum Master

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Charlotte, NC
3-5 Years Experience
Artificial Intelligence • Cloud • Database • Analytics
The Role


• Facilitate Scrum ceremonies (daily stand-ups, sprint planning, sprint review, sprint
retrospective).
• Coach the team on Agile and Scrum principles and practices.
• Remove impediments to the team’s progress and foster a self-organizing environment.
• Ensure transparency by maintaining the Scrum board and tracking progress.
• Collaborate with product owners to prioritize backlog items and refine user stories.
• Shield the team from external distractions and interruptions.
• Foster collaboration and communication among team members and stakeholders.
• Continuously improve team performance through metrics and feedback loops.
• Facilitate cross-functional coordination and resolution of dependencies.
• Act as a servant leader and advocate for Agile values and principles within the organization.

• Proven experience as a Scrum Master or in a similar Agile role.
• Deep understanding of Agile methodologies, values, and practices.
• Strong knowledge of Scrum theory, rules, and practices.
• Excellent facilitation, communication, and interpersonal skills.
• Ability to coach and mentor teams towards self-organization and continuous improvement.
• Experience in conflict resolution, negotiation, and consensus-building.
• Familiarity with Agile tools like JIRA, Trello, or similar software.
• Certification as a Scrum Master (e.g., CSM, PSM) is often preferred.
• Ability to work with cross-functional teams and manage multiple priorities.
• Proactive problem-solving attitude and willingness to take ownership.

The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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