Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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.