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The Hartford · 3 months ago

Senior Scrum Master

Hartford, CT

Full-time

Hybrid

Mid, Senior Level

$109K/yr - $163K/yr

The Hartford is an insurance company committed to making a difference and helping others achieve their goals. They are seeking a dedicated Senior Scrum Master to lead Agile Scrum Teams, focusing on execution, adherence to Agile practices, and driving continuous improvement within the program.

Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance

No H1B

Responsibilities

Facilitate and support two Scrum Teams by fostering Agile values and practices, while bringing hands-on experience with AI-assisted development tools

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

Qualification

Agile MethodologiesSoftware Development LifecycleAdvanced Agile PracticesGenerative AI Tool ProficiencyAI Risk ManagementData-Driven Decision MakingStakeholder CommunicationResource PlanningCross-Functional CollaborationContinuous AI LearningEthical AI ImplementationAI-Driven Productivity OptimizationAI in Agile ContextsGovernanceComplianceStrategicBusiness Acumen

Required

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

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

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

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

Preferred

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