Agile Delivery Lead for AI/Data Modernization

Analytica

Bethesda (MD)

On-site

USD 110,000 - 150,000

Full time

5 days ago

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Benefits offered by this job

Bonuses

Employer-paid health care

Training and development funds

401k match

Job summary

Analytica, a Bethesda, MD-based federal contractor, is seeking an experienced Scrum Master to facilitate Agile delivery, remove impediments, coordinate dependencies, and keep teams focused on MVP outcomes for a data analytics and AI modernization initiative.

You will lead sprint planning, daily stand-ups, backlog refinement, sprint reviews, retrospectives, and release planning across software, data, AI/ML, security, and infrastructure teams to ensure secure, scalable delivery.

Qualifications

Experience facilitating Agile delivery for multidisciplinary software, data, analytics, or AI/ML teams.
Experience leading sprint planning, daily coordination, backlog refinement, sprint reviews, retrospectives, and release planning.
Experience identifying and removing impediments, blockers, risks, and cross-team dependencies.
Experience tracking delivery metrics, risks, actions, issues, decisions, and commitments.
Strong knowledge of Agile, Scrum, backlog management, sprint execution, and continuous improvement practices.
Experience coordinating technical teams across software engineering, data engineering, AI/ML, infrastructure, security, and testing.
Strong coaching, facilitation, stakeholder communication, conflict resolution, and problem-solving skills.
U.S. citizenship and ability to obtain Top Secret eligibility.
Active Top Secret clearance highly preferred.

Responsibilities

Facilitate Agile delivery for multidisciplinary software, data, analytics, and AI/ML teams.
Lead sprint planning, daily stand-ups, backlog refinement, sprint reviews, retrospectives, and release planning.
Identify and remove delivery impediments, blockers, risks, and dependencies.
Coordinate cross-team technical dependencies, priorities, deliverables, and commitments.
Track and communicate delivery metrics, sprint progress, risks, actions, issues, and dependencies.
Facilitate collaboration between engineering, data, AI/ML, security, infrastructure, and product teams.
Support effective backlog management, prioritization, estimation, and capacity planning.
Coach teams on Agile principles, Scrum practices, continuous improvement, and delivery best practices.
Facilitate stakeholder communication and ensure delivery status, risks, decisions, and technical dependencies are clearly documented.