# Director of AI Solutions & Integration

**Company**: S&P Dow Jones Indices
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $149,031 to $228,996
**Category**: Data Science
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Director--AI-Solutions---Integration_327946-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ca2c3ff2-bed

## Description

The Director of AI Solutions & Integration leads the team that brings advanced analytics and AI capabilities into the heart of SPDJI's data operations.

Responsibilities and Impact:

- Own and drive the AI solutions enablement strategy for SPDJI, defining how value streams design, build, and scale AI applications that deliver measurable business value.

- Establish reference architectures and standards for GenAI/LLM solutions.

- Define and implement enablement programs for GenAI, LLM, and agent-based solutions across the organization.

- Contribute to the broader Data AI & Enablement strategy.

- Represent SPDJI Data at enterprise AI forums.

AI Roadmap & Strategic Planning:

- 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.

- Provide technical leadership on emerging AI technologies.

Delivery Through Enablement:

- Co-develop AI applications with value stream SMEs.

- Establish prompt engineering and evaluation practices.

- Oversee the design and implementation of end-to-end AI solutions.

Governance & Responsible AI:

- Partner closely with the Data & AI Governance team.

- Ensure all AI solutions are integrated with governed data.

- Establish and maintain frameworks for AI solution monitoring.

Production Readiness & IT Partnership:

- Ensure operational readiness for IT handover.

- Partner with IT to support QA processes.

- Establish quality gates and "definition of done" criteria.

Team Development & Capability Building:

- Lead, mentor, and develop a high-performing team.

- Develop team capability and reusable assets.

- Collaborate effectively with Data Integration & Workflows and Data Governance teams.

Shared Accountabilities:

- Collaborate on AI roadmap prioritization.

- Partner to ensure infrastructure readiness.

- Engage with value stream SMEs.

- Embed responsible AI controls.

Ownership:

- Own the technical strategy, standards, and execution approach for all AI and advanced analytics initiatives.

- Define and maintain reference architectures.

- Define and enforce the "definition of done" for production-ready AI solutions.

What Success Looks Like:

- Enable AI at Scale.

- Ensure Responsible AI.

- Accelerate AI Innovation.

- Drive Measurable Business Value.

Key Performance Indicators (KPIs):

- Business Value Realization.

- Production Stability.

- Time to Production.

The anticipated base salary range for this position is $149,031 to $228,996.

## Skills

### Required
- ETL/ELT design patterns
- data pipeline architecture
- workflow orchestration framework
- batch and streaming data processing technologies
- modern data platforms
- cloud infrastructure
- data engineering tools
- Python
- SQL
- Scala
- DevOps practices
- CI/CD pipelines
- infrastructure-as-code
- data governance principles
- compliance frameworks

### Nice to have
- index concepts
- asset classes
- SPDJI products
- methodologies
- index calculation processes
- Agile/Scrum methodologies
- product-oriented delivery models
- data governance
- data quality frameworks
- enterprise data architecture
- AI/ML technologies
- cloud AI platforms

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