Senior Manager - AI Scrum

About Inception42

Role Overview

Responsibilities

• Design and run the Agile delivery operating model across multiple product and engineering squads.
• Establish sprint and program governance covering planning, backlog readiness, reviews, retrospectives, release coordination, and delivery health.
• Translate product roadmaps and strategic priorities into integrated delivery plans, milestones, sequencing, and measurable outcomes.
• Own cross-squad dependency management, surface constraints early, and drive decisions that protect critical paths and production commitments.
• Coach Scrum Masters and delivery practitioners on facilitation, flow, forecasting, risk management, and practical Agile methods.
• Partner with Product and Engineering leaders to improve backlog quality, capacity planning, prioritization, and the balance of feature, technical, and operational work.
• Define and monitor delivery metrics covering flow, predictability, quality, risk, and value.
• Build concise executive reporting on progress, risks, dependencies, required decisions, and forecast confidence.
• Lead escalation and recovery for delivery risks, stalled dependencies, and execution gaps across programs, vendors, and internal teams.
• Improve delivery standards, tooling, and ways of working using evidence, team feedback, and changing organizational needs.
• Create alignment across Product, Technology, Delivery, and senior leadership while preserving team ownership and fast decision-making.

Required Qualifications

• 10–15 years of experience in Agile delivery, Scrum, program execution, or a related discipline within technology, AI, SaaS, or digital-product organizations.
• Proven experience leading delivery across several product and engineering squads with shared dependencies and concurrent release commitments.
• Strong command of Agile and Scrum fundamentals, with judgment to adapt practices to the work.
• Experience coaching Scrum Masters or delivery leads and improving execution maturity across teams.
• Ability to turn complex delivery data into forecasts, executive narratives, and actionable decisions.
• Strong systems thinking across product priorities, engineering constraints, capacity, risk, quality, and stakeholder commitments.
• Ability to operate through ambiguity, resolve competing priorities, and hold teams and leaders to explicit commitments.
• Clear, credible communication with technical teams and senior stakeholders, including constructive challenge.
• A structured, data-driven ownership mindset with consistent follow-through.

Preferred Qualifications

• SAFe, Certified Scrum Professional, Professional Scrum Master, or comparable Agile certification is preferred.
• Experience in a high-growth technology company, AI organization, leading technology firm, or consulting environment is preferred.
• Exposure to AI/ML product lifecycles, platform delivery, enterprise-scale deployments, or regulated environments is preferred.
• Experience with Jira, Confluence, and portfolio planning tools is listed as an additional preference.