BSA/Scrum Master for Splunk Data Ingestion
• Experience working as a Business Systems Analyst, Scrum Master, Technical Business Analyst, or similar hybrid delivery role in agile or iterative environments
• Strong understanding of agile ceremonies, backlog readiness, impediment management, dependency
tracking, stakeholder alignment, and delivery communication practices
• Familiarity with Splunk data ingestion concepts, log onboarding, source types, index readiness, field
extraction expectations, and data validation practices.
• Experience using agile delivery tools such as Jira, Azure DevOps, Rally, or similar platforms to manage
user stories, dependencies, risks, and delivery progress.
• Ability to gather, document, analyze, and clarify business and technical requirements for data, platform,
application, or infrastructure initiatives.
• Ability to communicate effectively with customers, product owners, engineers, platform teams, delivery
teams, and internal stakeholders.
Validate that the iterative delivery process and methodology rules are followed, and the work and
communication are aligned to.
o Removing obstacles that impede the iterative delivery process
o Validating that everyone understands the delivery approach and ensures the team and stakeholders are
aligned on the next steps following that delivery approach
o Facilitate iterative delivery communications events (daily standups, planning, retrospective etc.).
o Facilitate decisions regarding the product and help resolve team issues (i.e., understand forming, storming,
norming, performing, adjourning principles)
o Validate that all team members are actively participating
o Validate communications to and between the team are clear, concise, and well understood; seeks
clarification from customer, product owner or other stakeholders as needed
o Coordinate with agile portfolio delivery coordinator scrum master’s with any
impediments and dependencies.
o Promote strong customer engagement and requirement gathering capabilities across the entire team.
o Maintain ongoing collaboration with internal teams to remain informed of, and adapt to,
forthcoming data advancements, technology changes, and evolving requirements.
• Customer-focused mindset with the ability to bridge business needs, data requirements, and
engineering execution.
• Ability to work with cross-functional teams across engineering, architecture, operations, security,
product, and business stakeholder groups.
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