Director, AI Solutions & Integration at S&P Global | New York | Rezi

Director, AI Solutions & Integration at S&P Global

Director, AI Solutions & Integration

S&P Global · New York

Today

Director, AI Solutions & Integration

S&P Global · New York

4 hours ago
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About the Role

The Director of AI Solutions & Integration leads the team responsible for integrating advanced analytics and AI capabilities into SPDJI's data operations. This role ensures AI solutions are production-ready, governed, and deliver value at scale, accelerating innovation and enhancing productivity.

Responsibilities

  • Own and drive the AI solutions enablement strategy for SPDJI.
  • Establish reference architectures and standards for GenAI/LLM solutions.
  • Define and implement enablement programs for GenAI, LLM, and agent-based solutions.
  • Contribute to the broader Data AI & Enablement strategy.
  • Represent SPDJI Data at enterprise AI forums.
  • Partner with PPD and value stream leadership to shape the AI roadmap.
  • Collaborate with stakeholders to identify high-value AI opportunities.
  • Balance innovation with pragmatism to ensure AI investments deliver tangible business outcomes.
  • Provide technical leadership on emerging AI technologies.
  • Co-develop AI applications with value stream SMEs from prototyping to production.
  • Establish prompt engineering and evaluation practices.
  • Oversee the design and implementation of end-to-end AI solutions.
  • Partner closely with the Data & AI Governance team to embed responsible AI practices.
  • Ensure all AI solutions are integrated with governed data, meet security and operational requirements.
  • Establish and maintain frameworks for AI solution monitoring, evaluation, and continuous improvement.
  • Ensure operational readiness for IT handover by driving standards for documentation, monitoring, cost controls, and secure integration.
  • Partner with IT to support QA processes and early production stabilization.
  • Establish quality gates and 'definition of done' criteria specific to AI solutions.
  • Lead, mentor, and develop a high-performing team of AI Solutions Leads and Experts.
  • Develop team capability and reusable assets to accelerate AI pattern adoption.
  • Collaborate effectively with Data Integration & Workflows and Data Governance teams.
  • Collaborate on AI roadmap prioritization and alignment with business requirements.
  • Provide realistic technical feasibility assessments and success metrics definition.
  • Partner to ensure infrastructure readiness for AI workloads and smooth deployment.
  • Establish clear support boundaries and SLAs with IT.
  • Engage with value stream SMEs to co-develop AI solutions.
  • Assess and develop SME AI capabilities.
  • Collaborate closely with Data & AI Governance to embed responsible AI controls.
  • Conduct safety reviews and ensure compliance with AI usage policies.
  • Partner to operationalize AI data requirements and integration with data pipelines.
  • Own the technical strategy, standards, and execution approach for all AI and advanced analytics initiatives.
  • Responsible for defining and maintaining reference architectures for GenAI, LLM, RAG, and agentic solutions.
  • Define and enforce the 'definition of done' for production-ready AI solutions.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
  • 10+ years of experience in AI/ML, data science, or advanced analytics roles.
  • 5+ years of leadership experience managing technical teams and delivering AI/ML solutions at scale.
  • Proven track record of building and deploying production AI systems in complex enterprise environments.
  • Experience in financial services or quantitative modeling preferred.
  • Deep expertise in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration framework.
  • Strong knowledge of both batch and streaming data processing technologies.
  • Experience with modern data platforms, cloud infrastructure (AWS, Azure, or GCP), and data engineering tools.
  • Proficiency in programming languages commonly used in data engineering (Python, SQL, Scala, etc.).
  • Understanding of data quality frameworks, observability, monitoring, and alerting systems.
  • Knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code.
  • Familiarity with data governance principles and compliance frameworks.
  • Strong leadership and team management skills.
  • Excellent collaboration skills with ability to partner effectively across technical and business teams.
  • Outstanding communication abilities, able to articulate complex AI concepts to non-technical audiences.
  • Strategic thinking with ability to align AI initiatives with business objectives.
  • Strong problem-solving mindset with focus on practical, production-ready solutions.
  • Experience across the breadth of index concepts and asset classes.
  • Familiarity with SPDJI products, methodologies, or index calculation processes.
  • Experience in Python or SQL Development.
  • Experience in AI/ML technologies or cloud AI platforms.
  • Experience with Agile/Scrum methodologies and product-oriented delivery models.
  • Knowledge of data governance, data quality frameworks, and enterprise data architecture.
  • Experience building AI solutions for financial data, market data, or analytical workflows.
  • Limited to persons with indefinite right to work in the United States.
  • External candidates must attend at least one in-person interview.

Skills

  • AI/ML
  • Data Science
  • Advanced Analytics
  • GenAI
  • LLM
  • RAG patterns
  • Agentic workflows
  • ETL/ELT
  • Data pipeline architecture
  • Workflow orchestration
  • Batch data processing
  • Streaming data processing
  • Cloud infrastructure (AWS, Azure, GCP)
  • Data engineering tools
  • Python
  • SQL
  • Scala
  • Data quality frameworks
  • Observability
  • Monitoring
  • Alerting systems
  • DevOps
  • CI/CD pipelines
  • Infrastructure-as-code
  • Data governance
  • Compliance frameworks
  • Prompt engineering
  • Agile/Scrum methodologies

Location

  • United States

Work Type

  • Onsite (for final interview)

Experience Level

  • 10+ years of experience in AI/ML, data science, or advanced analytics
  • 5+ years of leadership experience

Education Level

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field
  • Master's degree or PhD in AI/ML-related field preferred

Salary/Compensations

  • $149,031 to $228,996

Benefits

  • Eligible for an annual incentive plan
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off.
  • Continuous Learning: Access to resources for career growth and skill development.
  • Invest in Your Future: Competitive pay, retirement planning, continuing education program with company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: Benefits for partners and children.
  • Beyond the Basics: Retail discounts and referral incentive awards.

About the Company

  • At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum.
  • We are the largest global resource for index-based concepts, data and research.
  • Home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®.
  • S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI).
  • S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
  • Our Mission: Advancing Essential Intelligence.
  • We're more than 35,000 strong worldwide.
  • Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future.
  • Our Values: Integrity, Discovery, Partnership.

Equal Opportunity

  • 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.
  • US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law.
  • Pay Transparency Nondiscrimination Provision.