Scrum Master

Akaasa Technologies; Malvern (Chester County); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Akaasa Technologies in Malvern, PA seeks a seasoned Scrum Lead/Master to oversee two Scrum teams: Data Platform and Analytics. The role is hands-on, not just a coach, requiring 10+ years of experience and a strong background in Scrum, Kanban, and scaling frameworks, with a focus on delivering business value through agile practices.

You will drive agile transformations, apply flow metrics, manage ceremonies, and promote automation and AI-aware process improvements, collaborating with leaders to

Qualifications

• 10+ years of relevant experience.
• Foundational agility certificates and deep knowledge of Scrum, Kanban, and large-scale frameworks.
• Technical background preferred (e.g., developer who transitioned to Scrum).

Responsibilities

• Manage two distinct Scrum teams, Data Platform & Analytics.
• Serve as a hands-on Scrum Lead, facilitating and driving team outcomes.
• Advocate for and roll out Agile processes (Scrum, Kanban) with focus on value and business results.
• Apply advanced agility knowledge, including flow metrics, story points, and throughput, to improve team performance.
• Drive change management and secure organizational buy-in for new processes.
• Ensure accountability and ownership of team deliverables, aligning with OKRs.
• Navigate fast-paced environments with shifting priorities, maintaining effective operating rhythms.
• Demonstrate a strategic mindset, focusing on optimization and AI-oriented process improvements.

Skills

Scrum

Kanban

Agile

Data Platform

Leadership

AI tools experience

Tools

Tableau

Job description

Scrum Master

no assessment required

Hybird - Malvern, PA

must have experience with AI tools

Job Description

We are seeking a highly motivated and strategic Scrum Lead / Master to manage two core Scrum teams within our organization. The ideal candidate is a hands-on "do-er" with 10+ years of experience who can bring technical context to process advocacy. This role requires strong foundational Agile knowledge, excellent communication skills, and the ability to influence leaders and teams while driving high accountability and value delivery.

Key Responsibilities

• Manage two distinct Scrum teams, Data Platform & Analytics.
• Serve as a hands-on Scrum Lead, moving beyond a purely coaching role to actively facilitate and drive team outcomes.
• Advocate for and roll out Agile processes (Scrum, Kanban) with a focus on value and business results, not process for its own sake.
• Apply advanced foundational agility knowledge, including flow metrics, story points, and throughput, to improve team performance.
• Drive change management and secure organizational buy-in for new processes.
• Ensure accountability and ownership of team deliverables, aligning with organizational OKRs.
• Navigate fast-paced environments with shifting priorities, influencing leaders and teams to maintain effective operating rhythms (e.g., ensuring retrospectives and planning are valued).
• Demonstrate a strategic mindset, focusing on optimization and continuous improvement, and an interest in applying automation and AI to processes.

Required Qualifications

Experience: 10+ years of relevant experience

Agile Expertise: Must possess foundational agility certificates and deep knowledge of Scrum, Kanban, and elements of large-scale frameworks (e.g., elements of SAFE/Big Room Planning).

Technical Acumen: Strong preference for candidates with a technical background (e.g., developer who transitioned to Scrum), or a process-oriented individual who is a demonstrable "rock star" with the ability to add value across the organization.

Soft Skills

• Exceptional communication and presentation skills.
• Ability to "read the room," flex approach based on team dynamics, and indirectly influence stakeholders.
• Strong attitude and willingness to learn new technologies and concepts, particularly in the realm of AI and process optimization.

Team Context Knowledge

Experience in data engineering and/or analytical environments is highly valued:

• Experience with Data Platform/Data Engineering concepts
• Experience with reporting and analytical tools like Tableau