About the Role:

Grade Level (for internal use):

12

Role Summary

We are seeking a hands-on and delivery-focused Associate Director of Software

Application Development & AI/ML Engineering to lead the execution of scalable, secure, and high-performance enterprise software applications for the capital markets domain. This role will focus on translating technology strategy into actionable delivery plans, managing engineering teams, and ensuring successful implementation of SaaS-based solutions, microservice architectures, and AI/ML-enabled capabilities.

The Associate Director will work closely with senior technology leaders, Product, Data Engineering, and client-facing teams to deliver innovative software solutions that support automation, intelligence, compliance, and operational efficiency across critical financial workflows. This role requires strong technical depth, practical AI/ML knowledge, and the ability to guide teams through complex engineering delivery in a regulated environment.

Key Responsibilities

• Drive execution of the technical roadmap for enterprise software applications, ensuring alignment with broader technology strategy, business priorities, and client needs.
• Lead day-to-day engineering delivery across the software development lifecycle, including requirements analysis, technical design, development, testing, deployment, monitoring, and maintenance.
• Manage and guide engineering teams working with C#, .NET, Angular, SQL Server, and related Microsoft or open-source technologies to build robust back-end services and responsive front-end applications.
• Support the design and implementation of scalable microservice-based architectures that improve modularity, reliability, maintainability, and performance of enterprise SaaS applications.
• Oversee AWS-native application development and deployment, using services such as EC2, ECS, Lambda, RDS, API Gateway, CloudFormation, and related cloud-native capabilities.
• Ensure effective implementation of DevOps and engineering best practices, including CI/CD pipelines, automated testing, code quality standards, containerization, infrastructure-as-code, monitoring, and release management.
• Lead practical AI/ML integration into enterprise applications, with focus areas such as intelligent document processing, market analysis, risk modeling, workflow automation, and decision support.
• Coordinate the development and deployment of Generative AI and LLM-based solutions, including Retrieval-Augmented Generation, or RAG, pipelines, vector search, prompt workflows, and model integration patterns.
• Partner with Product Managers, Data Engineering, Architecture, Compliance, and Client teams to convert business requirements into secure, scalable, and maintainable technical solutions.
• Mentor, coach, and develop software engineers and technical leads, fostering a culture of ownership, collaboration, quality, innovation, and continuous improvement.
• Ensure applications and AI systems meet security, compliance, auditability, and traceability requirements applicable to the capital markets and financial technology domain.
• Track delivery progress, manage risks, resolve technical blockers, and communicate status clearly to senior leadership and cross-functional stakeholders.

Required Qualifications

Education

• Bachelor’s or master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

Experience

• 12+ years of software development experience, 3–5 years of experience as a Lead Software Engineer with a strong track record in AI/ML development and implementation.
• Demonstrated experience delivering enterprise-grade SaaS applications using microservice-based architectures.
• Experience working in capital markets, fintech, financial services, or enterprise software environments is preferred.
• Proven ability to manage engineering execution across multiple workstreams while maintaining quality, security, scalability, and delivery commitments.

Technical Skills

• Strong hands-on experience with C#, .NET, Angular, SQL Server, and the broader Microsoft technology stack for building scalable back-end systems and dynamic front-end applications.
• Solid understanding of microservice-based architecture, including service design, API development, distributed systems, resiliency patterns, and orchestration using platforms such as Kubernetes or AWS ECS.
• Experience developing SaaS applications, including exposure to scalability, availability, performance optimization, tenant isolation, and multi-tenancy concepts.
• Practical experience with AWS-native application development, including services such as EC2, ECS, Lambda, RDS, API Gateway, CloudFormation, and related cloud services.
• Working knowledge of DevOps practices, including CI/CD pipelines, Docker, Terraform, AWS CDK, automated testing, observability, and infrastructure-as-code.
• Strong understanding of API design and development, including RESTful services, authentication, authorization, versioning, and integration patterns.
• Working knowledge of Python and API development frameworks such as FastAPI or Flask, particularly for AI/ML service integration.
• Good understanding of machine learning concepts, including ML algorithms, feature engineering, model evaluation, deep learning fundamentals, and modern NLP techniques.
• Practical exposure to Generative AI, LLMs, RAG-based systems, and frameworks such as LangChain, LlamaIndex, and vector databases including FAISS, Pinecone, or OpenSearch.
• Familiarity with AWS AI/ML services such as SageMaker and Bedrock for model development, deployment, and integration is preferred.

Leadership & Communication

• Proven ability to lead engineering teams, manage delivery priorities, and drive execution in complex, data-driven technology environments.
• Strong people management skills, including mentoring engineers, providing technical direction, supporting career development, and building accountable teams.
• Ability to collaborate effectively with Product, Architecture, Data Engineering, Compliance, Operations, and client-facing stakeholders.
• Strong communication skills with the ability to explain software architecture, delivery plans, and AI/ML concepts to both technical and non-technical audiences.
• Strong ownership mindset with a focus on secure, scalable, performant, compliant, and maintainable systems.
• Experience working in Agile delivery environments, including sprint planning, backlog refinement, estimation, release planning, and continuous improvement.
• Ability to operate effectively in fast-paced and regulated environments where delivery quality, traceability, and compliance are critical.

About S&P Global Market Intelligence

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)