Scrum Master

Role overview

Scrum Master (Data/Analytics-focused, Remote) for two Agile teams in a technically complex environment. You will act as a hands-on servant leader to translate analytics/data visions into actionable backlog items and drive delivery through Agile ceremonies and program execution.

Location/Work model: Remote, with onsite only 2–4 times per year for PI Planning (50 South 16th Street, PA, 19102). Duration: 5+ months (possible extension/hire).

Responsibilities

• Facilitate Scrum/Agile ceremonies for two Agile teams and ensure Scrum/SAFe practices are followed
• Remove impediments; reinforce engineering and Agile hygiene (e.g., WIP limits, tooling consistency)
• Own PI planning for both teams: Pre-PI alignment, During PI facilitation, and Post-PI tracking (including ROAM items)
• Coordinate with Product Owners, stakeholders, and technical leads
• Manage dependencies and represent teams in planning forums
• Participate in client/partner-facing calls
• Coordinate defect fixes and technical upgrades, targeting ~20% velocity impact
• Lead end-to-end delivery activities: discovery, design, build, test, release, stabilization
• Drive readiness checklists and track delivery health
• Orchestrate environment creation (provisioning, configuration, access, certificates)
• Facilitate troubleshooting with Platform/SRE/Network/Security teams
• Champion CI/CD, Infrastructure as Code (IaC), automation, observability, and monitoring

Requirements (MUST HAVE)

• 4+ years as a Scrum Master in a technical environment
• Strong Agile knowledge: Scrum and SAFe
• Experience with BI tools: Tableau and/or Power BI
• Proficiency in SQL and Python, including familiarity with stored procedures
• Understanding of AWS services; familiarity with AWS Redshift and Tableau
• Strong communication and facilitation skills
• Proven ability to manage multiple priorities and teams
• Proficiency with Jira, Confluence, or Azure DevOps

Preferred qualifications

• CSM / SSM (or equivalent) certification
• Insurance or financial services industry experience (e.g., Disability, FMLA, Life)
• Data privacy, compliance, and secure transmission protocol knowledge
• Deeper data/BI delivery skills (e.g., data modeling: star schema and normalized/denormalized approaches)
• Familiarity with statistical modelers and querying patterns
• Additional AWS/data tool familiarity (e.g., AWS SageMaker, “AWS QuickSuite” as referenced)
• Experience handling multiple projects simultaneously