Let's begin! Delivery Manager

Moody'sNewark, NJ
Onsite

About The Position

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Requirements

  • 4–7 years of program/project management experience in software is required, including at least 2 years managing large, complex SaaS programs across multiple teams and demonstrated ownership of end-to-end delivery from discovery/concept through build, test, launch, and stabilization.
  • Strong understanding of full-system SaaS delivery, including release management, deployment strategies (e.g., feature flags), reliability, and operations is required to navigate technical complexities.
  • Proven ability to lead cross-functional execution involving Engineering, Product, and adjacent stakeholders (e.g., Security, Compliance, Support, GTM) to drive alignment.
  • Strong competency in scope, schedule, dependency, and risk management is necessary to drive tradeoffs, make decisions, and ensure on-time delivery.
  • Experience with Agile delivery (Scrum/Kanban) and the ability to operate effectively across mixed methodologies.
  • Excellent written and verbal communication skills are essential for creating executive-ready updates and facilitating crisp, productive meetings.
  • Bachelor's degree in technical field.

Nice To Haves

  • Proficiency with Jira/Confluence (or equivalent) and other planning/reporting tools with exposure to enterprise integrations (SSO/SAML, APIs), data migrations, or platform modernization efforts is preferred.
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools, such as Copilot and ChatGPT, can be used to improve processes and drive efficiency.
  • Certifications (PMP, CSM, SAFe) are a plus.

Responsibilities

  • Lead full-system SaaS programs from concept through launch and post-launch stabilization.
  • Own program delivery from concept to launch by supporting discovery, defining program scope and milestones, and driving execution through release and stabilization.
  • Translate product vision into an integrated plan by aligning roadmap intent with technical architecture, dependencies, and capacity across all teams.
  • Drive full-system coordination by managing workstreams across Engineering, Product, UX/Research, Data/Platform, Security, Legal/Compliance, Customer Success, Support, and GTM.
  • Establish and run the program’s operating cadence, including standups, execution reviews, dependency syncs, and launch readiness checkpoints.
  • Own dependency and critical-path management by identifying cross-team issues early, driving resolutions, and maintaining a clear line-of-sight to milestones.
  • Manage risk and change by proactively surfacing issues, quantifying impacts, proposing mitigation options, and escalating with recommended decisions.
  • Lead launch readiness and go-live activities, ensuring test strategy coverage, release criteria, security approvals, and support readiness are all in place.
  • Continuously improve execution systems by introducing scalable templates, playbooks, and dashboards for planning, reporting, and delivery predictability.

Benefits

  • medical
  • dental
  • vision
  • parental leave
  • paid time off
  • a 401(k) plan with employee and company contribution opportunities
  • life
  • disability
  • accident insurance
  • a discounted employee stock purchase plan
  • tuition reimbursement
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