VP, Finance Transformation & Data Strategy (AI-Enabled)

PassFort; New York (NY); On-site; USD 171,000 - 248,000; Full time

Job summary

Moody’s Finance Transformation and Strategy team seeks a seasoned leader to drive Finance data strategy, bridging senior leadership and delivery teams to produce high-impact data products. You will define success, secure alignment across stakeholders, and guide data architecture from concept to delivery.

Located in the U.S., the role involves hands-on prototyping with SQL, Python, and AI tools, and leads a small team of data strategists within a global Finance organization.

Qualifications

• Bachelor's degree in Accounting, Finance, MIS, Data Analytics, or related field; Master's preferred.
• 10+ years delivering finance data/technology solutions across financial domains in a SOX environment.
• Experience translating business needs into scalable data solutions and leading end-to-end delivery.

Responsibilities

• Set direction and own delivery outcomes for Finance data products, partnering with engineering, analytics, and automation teams.
• Own and evolve the strategic data roadmap for Finance and align delivery to stakeholder outcomes.
• Lead solution design from problem to engineering-ready specs, author BRDs and FDDs, and ensure QA/validation.
• Prototype solutions using SQL, Python, and AI-assisted tools with hands-on finance domain knowledge.
• Act as data strategy lead on Finance programs and build a team of data strategists and business analysts.

Skills

Experience in data strategy

Executive communication

People leadership

SQL

Python

AI tooling (Claude, Copilot)

ERP/ SAP familiarity

Education

Bachelor's degree in Accounting, Finance, MIS, Data Analytics

Master's degree preferred

Tools

Microsoft Fabric

Salesforce

SAP

AWS

Job description

Moody’s Finance Transformation and Strategy team seeks a seasoned leader to drive Finance data strategy, bridging senior leadership and delivery teams to produce high-impact data products. You will define success, secure alignment across stakeholders, and guide data architecture from concept to delivery.

Located in the U.S., the role involves hands-on prototyping with SQL, Python, and AI tools, and leads a small team of data strategists within a global Finance organization.