Senior Scrum Master

Sr Scrum Master - BA07BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Middle and Large Commercial IT is seeking a dedicated Sr. Scrum Master to be a servant leader and coach for our Middle and Large IT Agile Scrum Teams. This role focuses on execution while applying robust Agile practices, including adherence to metrics, leadership skills to drive key roadmap initiatives, and risk management. The Scrum Master will also play a crucial role in driving program-level continuous improvement. In addition to facilitating team-level events, the Scrum Master is responsible for keeping both team members and business and technology leaders informed of progress against objectives.

• Facilitate and support two Scrum Teams by fostering Agile values and practices.
• Ensure team adherence to Agile principles and provide coaching on executing the Scrum framework.
• Organize and facilitate ceremonies, identify improvement opportunities, and track team progress.
• Remove impediments to progress and protect the team from outside influences.
• Partner with the Product Owner to prioritize backlog items based on business value.
• Facilitate daily stand-up meetings, demos, and decision-making processes.

• Expertise in Agile Methodologies: Deep understanding of Agile frameworks including Scrum, Kanban, and Extreme Programming (XP), with practical experience in implementing Agile at scale.
• Software Development Lifecycle (SDLC) Proficiency: Strong grasp of iterative and incremental development models, with hands-on experience in Agile-aligned SDLC practices.
• Advanced Agile Practices: Proficient in Agile techniques such as writing and refining User Stories, implementing Continuous Integration/Continuous Deployment (CI/CD), and applying Test-Driven Development (TDD) principles.
• Resource Planning and Capacity Management: Skilled in forecasting team capacity, aligning resource supply with project demand, and optimizing workforce allocation using Agile planning tools.
• Stakeholder Communication and Agile Coaching: Demonstrated ability to facilitate cross-functional collaboration, provide Agile coaching, and drive cultural transformation through consultative engagement.
• Data-Driven Decision Making: Strong analytical and quantitative skills for interpreting metrics, KPIs, and performance data to inform strategic decisions.
• Cross-Functional Collaboration: Proven ability to build and sustain partnerships across business units, technical teams, and leadership layers.
• Strategic and Business Acumen: Ability to align Agile delivery with business goals, ensuring value-driven outcomes and continuous improvement.

• AI Risk Management: Capable of identifying and mitigating risks in AI-generated outputs, including algorithmic bias, data drift, and model explainability.
• Generative AI Tool Proficiency: Hands-on experience with AI-assisted development tools such as GitHub Copilot, and integration of generative AI into software engineering workflows.
• Continuous AI Learning: Commitment to staying current with advancements in generative AI, including LLM capabilities, prompt engineering, and emerging best practices.
• AI-Augmented Analytics: Proficient in leveraging AI-powered tools like Microsoft Copilot in Power BI for enhanced data visualization, trend analysis, and business intelligence.
• Ethical AI Implementation: Knowledgeable in ethical AI principles, including fairness, accountability, transparency, and compliance with regulatory standards.
• AI-Driven Productivity Optimization: Experience applying AI solutions to improve team efficiency, automate routine tasks, and enhance Agile delivery pipelines.
• AI in Agile Contexts: Practical application of AI technologies to support Agile ceremonies, backlog prioritization, and sprint planning.
• Governance and Compliance: Familiar with industry standards and frameworks for responsible AI usage, including model governance and auditability.
• Candidate must be authorized to work in the US without company sponsorship.
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position.