Senior Scrum Master - AI/ML & Software Delivery

COLSA•Remote, Alabama, AL

1d•$120,000 - $130,000•Remote

About The Position

COLSA is seeking a Scrum Master to support NASA’s Consolidated Applications and Platform Services (NCAPS) contract, specifically supporting NASA’s Aerospace Capabilities Portfolio Office by managing Agile delivery across fast-moving software, data, and machine-learning development efforts. This is a fully remote position open to candidates residing in the United States, excluding the following states: AR, CT, DE, HI, IA, KS, MT, NE, NJ, NY, RI, SD, VT, WV, and WY.

Requirements

Experience as a Scrum Master
Experience with AI/ML and software delivery
Ability to facilitate agile ceremonies (sprint planning, daily stand-ups, reviews, retrospectives, backlog refinement)
Ability to translate strategy, priorities, and resources into executable plans
Ability to remove impediments and coordinate dependencies
Ability to produce clear delivery products and overviews (roadmaps, prioritization and trade-off views, delivery and status reporting)
Experience tracking metrics (velocity, throughput, burn-down, cycle time, defect rate, delivery-performance metrics)
Ability to establish and enforce delivery and quality standards
Ability to adapt agile practices to fast-paced development cycles
Experience managing backlogs with product owners and project leads
Ability to coach and develop agile teams
Reside in the United States (excluding AR, CT, DE, HI, IA, KS, MT, NE, NJ, NY, RI, SD, VT, WV, and WY)

Responsibilities

Facilitate agile delivery end to end: sprint planning, daily stand-ups, reviews, retrospectives, and backlog refinement, keeping each ceremony focused and time-boxed.
Work with project leads to translate strategy, priorities, and team resources into executable sprint and release plans, and keep day-to-day execution aligned to those priorities.
Remove impediments, coordinate cross-team and external dependencies, and protect the team’s focus so it can deliver consistently.
Produce clear delivery products and overviews (roadmaps, prioritization and trade-off views, delivery and status reporting) that let leadership make informed trade decisions on prioritization and investment.
Use delivery data to drive efficiency: track metrics (velocity, throughput, burn-down, cycle time, defect rate, and delivery-performance metrics), find where the team loses time or quality, and act on it to measurably improve how the team performs.
Establish the delivery and quality standards the team works to, document them, and hold the team accountable to them.
Adapt agile practice to an AI-accelerated pace: streamline planning and coordination so process keeps up with faster development cycles rather than slowing them down.
Manage the backlog with product owners and project leads, ensuring upcoming work is refined, estimated, and aligned to stakeholder needs.
Coach and push the team: raise the team’s agile discipline, hold people to commitments and standards, and foster a collaborative, high-performing delivery environment.