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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.
Job Responsibility:
Lead the Innovation incubation team & scale it to CoE levels through identify, distill, plan, collaborate, execute & support innovation strategies to support the company's initiatives at GCC level
Perform hands on the design, development, and maintenance of scalable innovation pipelines. Lead from the front by setting examples for the team. Enable the team to create reusable components for wider adoption
Drive the execution of the company's vision for innovation, ensuring alignment with business goals and strategic initiatives
Mentor and manage a team of engineers and developers, fostering a culture of innovation and continuous improvement
Establish, monitor, and report on key metrics (KPIs, OKRs) to senior leadership on a regular basis
Collaborate with cross-functional and cross-entity teams to ensure the seamless integration of solutions across various platforms
Ensure quality, integrity, and security across all innovation development processes
Requirements:
10+ years of technology experience, including at least 2+ years leading an enterprise-level Innovation team, preferably within a financial services organization
Proven expertise in strategic planning and vision execution, with hands-on experience delivering large-scale solutions using latest AI/ML frameworks (Generative/Agentic AI), MCP, RAG, LangChain and LLMs
Strong technical proficiency in Python, JavaScript, SQL, and Apache Spark, with deep knowledge of cloud engineering on platforms like Azure, AWS or GCP
Proficiency in secure coding practices, authentication frameworks and APIs
Understanding of container and DevOps frameworks like Docker, GitHub Actions
Excellent communication skills, with a demonstrated ability to collaborate effectively with cross-functional teams and translate business requirements into technical solutions
Familiarity with data governance, cybersecurity principles, and regulatory compliance standards is desired
Bachelor’s or Master's degree in Computer Science, Engineering, or a related field