Sr Dir Mgr-Software Eng

Moody's Corporation; New York, Charlotte (NY, NC); On-site; USD 230,000 - 333,000; Full time

Benefits offered by this job

Incentive compensation

Benefits package

401(k) plan with company contributions

Job summary

Moody's Corporation seeks a Senior Director Manager - Software Engineering to lead the Tooling Platform organisation within the Data Estate. You will drive a unified platform for data operations, modernise the tooling estate, and shape AI-enabled products that improve data quality and control at scale.

The role requires global leadership, collaboration across Data Domain Operations, Product, Engineering, Analytics, Governance, and Strategy, and a bias toward rapid, reliable delivery in an

Qualifications

• 15+ years of software engineering and technology experience, including leadership of managers and senior engineers.
• Proven success defining/ executing strategies for enterprise tooling and internal platforms.
• Strong architecture and engineering judgment across full‑stack web development and cloud platforms.
• Hands‑on understanding of data-enabled applications with emphasis on data quality and auditability.
• Modernisation of fragmented applications through platform consolidation.
• Deep understanding of product development lifecycle, Agile, DevOps, testing, observability, security and production support.
• Proficiency in AI concepts and hands‑on use of AI tools to streamline workflows.
• Familiarity with AI engineering principles and governance of AI agents and workflows.
• Experience establishing engineering standards, metrics, and platform adoption indicators.
• Strong customer and product mindset with ability to translate needs into roadmaps.
• Excellent leadership, hiring, coaching, and stakeholder management.
• Creative, action‑oriented leadership style; ability to navigate ambiguity.

Responsibilities

• Lead the Data Estate Tooling Platform organisation with a clear mission and roadmap.
• Define and deliver a unified data management platform across domains.
• Build modern full‑stack apps enabling data operations with speed and control.
• Modernise tooling estate through consolidation and new platform services.
• Create a product‑driven engineering culture focused on outcomes and reliability.
• Define platform architecture, service boundaries, and governance in partnership with teams.
• Ensure secure, observable, and compliant solutions with automated testing.
• Recruit, develop, and retain a high‑performing global engineering team.
• Act as senior technology partner to leadership and shape AI‑enabled data production strategy.

Skills

15+ years software engineering

Strategy definition & execution

Full-stack web development

Data operations and data quality

Platform consolidation

Product development lifecycle & Agile

AI concepts & AI tools

AI risk management awareness

Engineering standards & governance

Product mindset & stakeholder mgmt

Leadership & talent development

Clear communication with senior stakeh

Education

Bachelor's or Master's degree in Computer Science, Engineering, Science, Information Technology, or a related field

Tools

None

Job description

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.

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 modernise 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 efficacy. 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 maximise 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 prioritised roadmap that achieves broad adoption and measurable business outcomes.
• Excellent organisational 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 organisation and shape how Moody’s builds, modernises, 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 organisational leadership, product‑oriented platform thinking, strong technical judgement, 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 organisation, 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 judgement 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.
• Modernise 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 organisation; 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 modernisation.

About the Team

The Data Estate Engineering & Architecture organisation 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 organisation, 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, colour, 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 [e-mail]. 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.

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.