Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Senior Technical Scrum Master (Data Platforms & Analytics)
Position Summary
We are seeking a Senior Technical Scrum Master to lead agile execution for AWS-based data platform and analytics initiatives. This role combines Scrum Master leadership with strong business analysis and project coordination capabilities to support delivery across complex data ecosystems.
You will work closely with teams that leverage Redshift, Databricks, Athena, and Power BI, ensuring business requirements are clearly defined, prioritized, and delivered efficiently. You will act as the bridge between business stakeholders and technical teams, enabling predictable, high-quality delivery.
This is a hands-on role requiring strong Agile expertise, comfort operating in data and analytics environments, and the ability to manage dependencies across multiple teams and systems.
Key Responsibilities
Agile Leadership & Scrum Execution
- Serve as Scrum Master for data engineering and analytics teams
- Facilitate agile ceremonies (stand-ups, sprint planning, reviews, retrospectives) with a focus on clarity, accountability, and delivery outcomes
- Drive backlog prioritization and sprint planning aligned to business value
- Identify and remove impediments, including cross-team and data-related dependencies
- Track and communicate delivery metrics such as velocity, burndown, and cycle time
Delivery Coordination & Execution
- Coordinate delivery across data and analytics workflows, including ingestion, transformation, and reporting
- Manage dependencies across teams working with Redshift, Databricks, Athena, and Power BI
- Support release planning, sprint forecasting, and production readiness activities
- Proactively identify and manage risks, issues, and blockers impacting delivery timelines
- Ensure alignment between sprint execution and broader program or platform priorities
Business Analysis & Requirements Management
- Elicit, document, and refine business and functional requirements for data and analytics use cases
- Translate requirements into clear user stories with well-defined acceptance criteria
- Partner with engineering and analytics teams to ensure requirements are understood and actionable
- Support definition of metrics, KPIs, and reporting needs for business stakeholders
- Maintain traceability from requirements through delivery and validation
Data & Platform Collaboration
- Work effectively with teams delivering data pipelines, transformations, and reporting solutions
- Ensure delivery aligns with established data models, governance standards, and platform architecture
- Facilitate coordination across batch and near real-time data workflows
- Support shared understanding between business stakeholders and technical teams
- Help ensure consistent implementation across data and analytics layers
Governance, Quality & Continuous Improvement
- Maintain backlog hygiene, definition of ready/done, and documentation standards
- Ensure delivered solutions meet agreed business requirements and quality expectations
- Drive continuous improvement across agile processes and team collaboration
- Support structured release and change management practices
Stakeholder Engagement
- Act as the primary interface between business stakeholders, product owners, and technical teams
- Facilitate workshops and requirement discussions focused on data and analytics needs
- Provide clear, structured communication on delivery status, risks, and dependencies
- Align priorities across multiple teams working on shared data initiatives
Qualifications
Required
- Bachelor’s degree in Technology, Engineering, Business, or related field
- 6–8+ years of experience as a Scrum Master, Business Analyst, or Project Manager
- Proven experience working on data, analytics, or technology-driven initiatives
- Strong experience with Agile/Scrum methodologies and tools (e.g., Jira, Azure DevOps)
- Working familiarity with modern data platforms such as Redshift, Databricks, Athena, and Power BI
- Solid understanding of data concepts, including data pipelines, transformations, and reporting
Core Skills
- Agile/Scrum facilitation in technical or data-focused environments
- Strong business analysis and requirements management
- Backlog management and prioritization
- Dependency and risk management across multiple teams
- Working knowledge of SQL and data modeling concepts
- Stakeholder communication across business and technical audiences
- Understanding of data governance and quality principles
Preferred
- Scrum certifications (CSM, PSM)
- Experience working in AWS-based data environments
- Familiarity with semantic layers or modern BI ecosystems
- Exposure to AI-ready data concepts (structured datasets, semantic access)
- Experience supporting CI/CD or release processes in data platforms
What You’ll Drive
- Predictable and efficient delivery across data and analytics initiatives
- Strong alignment between business requirements and technical execution
- Improved collaboration across business, data engineering, and analytics teams
- High-quality, reliable outputs supporting reporting and decision-making
- Consistent and scalable agile delivery practices
Why This Role Matters
This role plays a critical part in ensuring that data and analytics initiatives are delivered effectively and aligned to business needs. You will enable teams to operate efficiently while bridging the gap between business context and technical execution in a complex data environment.
