Skip to main content
Moody's
Saved jobs (0)

View all jobs

Sr Dir Mgr-Software Eng

New York, United States; Charlotte, United States

Apply now
Posted
10/09/2026
Job reference
15381
Experience level
Experienced Hire
Job category
Technology, Engineering & AI
Line of business
Data Estate

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. 


Skills and Competencies
  • 15+ years of software engineering and technology experience, including significant experience leading technology managers, senior engineers, and multidisciplinary teams in a complex global organization.
  • Proven success defining and executing strategies for enterprise tooling, internal platforms, workflow applications, or operational software used by business and data operations teams.
  • Strong architecture and engineering judgment across modern full-stack web development, including responsive user interfaces, APIs, services, distributed systems, cloud platforms, data integration, and secure software delivery.
  • Hands-on understanding of applications that enable users to source, manage, review, validate, remediate, enrich, and monitor data. A knowledge of operational controls with a particular emphasis on creating data that is usable, high quality, and stands up to audit.
  • Demonstrated ability to modernize fragmented or legacy application portfolios through platform consolidation that leverages reusable components.
  • Deep understanding of the product development life cycle, agile delivery, DevOps, automated testing, observability, security, reliability, and production support.
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
  • Familiarity with AI engineering principles and agentic system design, including the ability to architect secure, scalable, and governed AI agents and workflows that maximize the responsible use of AI across the end-to-end Data journey.
  • Experience establishing engineering standards, architecture guardrails, quality metrics, delivery measures, and platform adoption indicators that improve speed without compromising reliability or control.
  • Strong customer and product mindset, with the ability to partner closely with our product teams and convert the needs of our Data Domains into a prioritized roadmap that achieves broad adoption and measurable business outcomes.
  • Excellent organizational leadership, talent development, hiring, coaching, and stakeholder management skills. This job requires regular interaction and collaboration with other senior stakeholders; clear and credible communication are essential for delivering successful outcomes.
  • Creative, action-oriented leadership style, with the ability to navigate ambiguity, make sound tradeoffs, create clarity, and drive transformation at pace and scale.
Education
  • Bachelor's or Master's degree in Computer Science, Engineering, Science, Information Technology, or a related field. Equivalent relevant professional experience will be considered in accordance with Moody's hiring practices.
Responsibilities
This pivotal role is part of the technology leadership team within Moody’s Analytics Data Estate. Reporting directly to the Data Estate Head of Technology, the Senior Director Manager - Software Engineering will lead our Tooling Platform organization and shape how Moody’s builds, modernizes, and scales the applications used to produce trusted, high-quality data. We are seeking an innovative, creative technology leader who can challenge established approaches, translate bold ideas into practical solutions, and drive change at pace and scale in the AI era. This leader will define the vision for a unified tooling platform and build intuitive, AI-enabled products that simplify data operations, automate manual work, and improve quality and control across domains.
The role combines organizational leadership, product-oriented platform thinking, strong technical judgment, and disciplined execution. The role requires close collaboration across our entire business unit, including Data Domain Operations, Product, Engineering, Analytics, Governance and Strategy. It offers a rare opportunity to create a modern engineering capability with lasting impact the transforms how Moody’s manages and enhances its data.
  • Lead the Data Estate Tooling Platform organization, establishing a clear mission, operating model, portfolio, and roadmap aligned to Data Estate priorities.
  • Define and deliver a unified platform for data management and operational workflows, reducing fragmentation and enabling reusable capabilities and consistent user experiences across domains.
  • Build modern full-stack applications that enable operations teams to source, validate, review, reconcile, remediate, enrich, approve, and monitor data with greater speed, quality, transparency, and control. Exercise independent judgment in determining which capabilities should be developed as centrally managed, reusable platform services and which should be delivered as targeted solutions to address immediate needs and generate rapid value.
  • Modernize the existing tooling estate through deliberate consolidation, re-platforming, and retirement decisions while protecting the stability of critical workflows.
  • Create a product-oriented engineering culture in which teams own user outcomes, reliability, quality, adoption, and continuous improvement. This is a lean team that must operate in a modern AI first mindset, requiring a leader that challenges some of the established norms of a legacy PDLC process.
  • Define platform architecture, service boundaries, integration patterns, engineering standards, and controls in partnership with Data Engineering, Architecture, DevOps, Security, and QA Engineering.
  • Ensure solutions are secure, resilient, observable, supportable, and compliant with enterprise standards, with automated testing and quality controls embedded throughout delivery.
  • Recruit, develop, and retain a high-performing global organization; coach engineering managers and senior technical leaders; build strong succession, software engineering, product, and AI capabilities.
  • Act as a senior technology partner to our leadership team, bringing creative ideas, framing options and tradeoffs, and helping shape the broader strategy for AI-enabled data production and operational modernization.
About the Team
The Data Estate Engineering & Architecture organization builds and operates the technology capabilities that enable Moody's to acquire, transform, govern, enhance, and distribute trusted data at scale. The Tooling Platform team focuses on the applications and workflow capabilities used by Data Domain Operations teams to manage complex data processes and continuously improve quality. The team works across business domains and technology functions to replace fragmented workflows with modern, reusable, and AI-enabled solutions. This role offers the opportunity to shape a high-impact platform, lead a talented global engineering organization, and materially improve how Moody's produces and manages its data.

For US-based roles only: the anticipated hiring base salary range for this position is $229,800.00 - $333,150.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Apply now

Jobs for you

You have not saved any jobs yet.

You have not viewed any jobs yet.

Stay connected

Join our talent community

Don’t see a position for you? Submit your information to be considered for a future role as they become available.

Already a member?

Interest InSelect one or more job categories and locations, then click “Add” to create a job alert. You can repeat this process to add multiple job category and location combinations.