Business Intelligence & AI Solutions Specialist

S&P Global•New York, NY

20h

About The Position

The Technology organization at S&P Global Dow Jones Indices is undergoing a transformation, supporting the mission to enhance market confidence through innovative solutions. This forward-thinking team values high performance, collaboration, and the use of cutting-edge AI capabilities to modernize platforms and delivery. The team plays a vital role in embedding value streams and driving operational excellence across the organization, with a strategic focus on amplifying enterprise capabilities and AI. Responsibilities and Impact: Design and implement Business Intelligence solutions using Microsoft Power Platforms (Power BI, CoPilot Studio, Power Apps) to create actionable insights for the Technology organization. Develop and deploy AI-enabled workflows and agentic solutions that drive measurable operational efficiencies across product development lifecycles. Support the APMO team in establishing robust procedures, controls, and metrics to ensure Technology organization effectiveness and compliance. Create comprehensive data visualization dashboards and reports that enable data-driven decision making for stakeholders at all organizational levels. Coordinate and facilitate team engagement initiatives including town halls, team building activities, and AI adoption workshops to drive organizational change. Build and curate knowledge sources used by AI agents; ensure freshness, relevance and governance of content. Stay connected on responsible AI, enterprise AI governance, privacy, security and emerging AI practices. Collaborate with cross-functional teams to identify automation opportunities and implement process improvements using agile development methodologies.

Requirements

3-5 years of experience in business intelligence, data analytics, or related technical roles
Proficiency with Microsoft Power Platform technologies (such as Power BI, Power Apps, Power Automate, or CoPilot Studio)
Experience with data modelling, data visualization, & Power Query (M)
Design, Develop & maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources
Write and optimize DAX measures, calculated columns aligned to business metrics
Strong hands-on experience with SQL (MySQL/PostgreSQL preferred) and query optimization
Experience in report scheduling, publication, security and access management
Knowledge of AI and machine learning concepts with hands-on experience in implementing automated workflows and intelligent solutions
Strong analytical and problem-solving skills with ability to translate business requirements into technical solutions
Excellent written and verbal communication skills with ability to present complex data insights to diverse audiences
Strong organizational and time management abilities in fast-paced, dynamic environments
Collaborative mindset with experience working across cross-functional teams and stakeholders at all levels
Adaptability and creative problem-solving approach to drive results-oriented solutions

Nice To Haves

Experience with agile development processes and project management methodologies (such as Scrum, Kanban, or similar frameworks)
Exposure to Microsoft Fabric is preferred
Previous experience in financial services, data services, or technology organizations with exposure to operational process improvement

Responsibilities

Design and implement Business Intelligence solutions using Microsoft Power Platforms (Power BI, CoPilot Studio, Power Apps) to create actionable insights for the Technology organization
Develop and deploy AI-enabled workflows and agentic solutions that drive measurable operational efficiencies across product development lifecycles
Support the APMO team in establishing robust procedures, controls, and metrics to ensure Technology organization effectiveness and compliance
Create comprehensive data visualization dashboards and reports that enable data-driven decision making for stakeholders at all organizational levels
Coordinate and facilitate team engagement initiatives including town halls, team building activities, and AI adoption workshops to drive organizational change
Build and curate knowledge sources used by AI agents; ensure freshness, relevance and governance of content
Stay connected on responsible AI, enterprise AI governance, privacy, security and emerging AI practices
Collaborate with cross-functional teams to identify automation opportunities and implement process improvements using agile development methodologies