SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 171,100 - 248,050 / annual
Moody's is seeking a Vice President of Finance Transformation & Data Strategy to lead the evolution of Finance operations through modernized systems, data foundations, and innovation. This role bridges senior leadership and delivery teams to produce high-impact data products and strategic roadmaps.
You will own the strategic data roadmap for Finance, sequencing priorities and aligning delivery to stakeholder outcomes while serving as a trusted advisor to senior Finance leadership. You'll drive solution design from problem definition through engineering-ready specifications, authoring Business Requirements Documents (BRDs) and Functional Design Documents (FDDs), and owning quality assurance to ensure delivered solutions match intended outcomes.
Operating with significant autonomy and influence across Finance leadership, you'll remain deeply hands-on—rapidly prototyping solutions using SQL, Python, and AI-assisted tools, grounded in deep finance domain expertise. You'll act as the data strategy lead on Finance's key strategic programs, driving solution recommendations and roadmap decisions that shape investment and prioritization.
You'll build and develop a small team of data strategists and business analysts providing domain-aligned coverage across Finance. The Finance Transformation and Strategy team modernizes Finance systems and data foundations, embedding automation and delivering capabilities that enable Finance to function as a forward-looking, data-driven organization.
Required: 10+ years delivering finance business, data, and technology solutions across accounting, close/consolidation, FP&A, management reporting, revenue, expense management, treasury, and financial analytics in SOX environments. Exposure to enterprise Finance and data platforms (Microsoft Fabric, Salesforce, SAP, AWS). Excellent executive communication and people-leadership experience. Working knowledge of SQL, Python, or similar tools. Experience with AI-assisted development tools (Claude, Microsoft Copilot). Demonstrated proficiency in AI concepts with hands-on experience. Bachelor's degree in Accounting, Finance, MIS, Data Analytics, or related field; Master's preferred. ERP order-to-cash implementations and SAP experience strongly desired.
