Responsibilities:

• Design and run the Agile delivery operating model across multiple product and engineering squads, with clear cadences, decision points, and accountability.
• Establish consistent 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 the practical application of Agile methods.
• Partner with Product and Engineering leaders to improve backlog quality, capacity planning, prioritization, and the balance between feature delivery, technical work, and operational reliability.
• Define and monitor delivery metrics that reveal flow, predictability, quality, risk, and value without reducing delivery management to ceremony compliance.
• Build concise executive reporting that explains progress, material risks, dependencies, decisions required, and the confidence level behind delivery forecasts.
• 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 based on evidence, team feedback, and changing product or organizational needs.
• Create alignment across Product, Technology, Delivery, and senior leadership while preserving clear team ownership and fast decision-making.
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Qualifications:

What We’re Looking For

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

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