Associate Director/ Director, Content Innovation & Visualization

S&P Global•City of Albany, NY

About The Position

The Content Innovation & Visualization team works across S&P Global Ratings to make complex information easier to understand, explore, and act on. The team combines business knowledge, data, technology, visualization, and storytelling to develop solutions such as dashboards, interactive experiences, AI-enabled workflows, and executive communications. It partners with analytical, business, technology, product, commercial, and leadership teams to translate business needs into practical, scalable solutions for internal decision-making and communicating Ratings research, data, and insights to the market. In this role, you will lead complex, cross-functional initiatives from early concept through delivery and adoption. You will bring structure to ambiguous business problems, build trusted stakeholder relationships, and connect business needs with data, technology, AI, and effective communication. The position combines strategy with hands-on execution and leads primarily through projects, partnerships, and influence rather than direct people management. The role is open to qualified candidates across the United States and may be fully remote or hybrid, depending on business needs and proximity to an S&P Global office. Hybrid employees are expected to work from their nearest office at least two days per week. Final-stage candidates must attend at least one in-person interview, ordinarily at their nearest S&P Global Ratings office. Applicants must have an indefinite right to work in the United States.

Requirements

Typically 10 or more years of relevant experience in project or program management, financial services, credit, research, analytics, business intelligence, technology, digital product development, consulting, or a related field; candidates with fewer years of experience may be considered at Associate Director level.
Demonstrated success leading complex cross-functional projects involving multiple stakeholders, evolving priorities, and concurrent workstreams.
Strong stakeholder-management skills, including experience engaging senior leaders and technical teams.
Ability to translate ambiguous business needs into structured projects, clear requirements, and practical solutions.
Strong analytical orientation and comfort working with data, metrics, and evidence to support decisions.
Excellent written, verbal, storytelling, and presentation skills, with the ability to communicate complex information clearly and compellingly to diverse audiences.
Technical curiosity and willingness to learn, test, and directly experiment with new tools and approaches.
Ability to balance strategic thinking, project leadership, and hands-on contribution in a dynamic environment.
Strong judgment and attention to quality.
Indefinite right to work in the United States.

Nice To Haves

Experience in credit ratings, credit markets, financial services, research, or another analytically driven environment.
Familiarity with how research, data, and analytical content are developed and used by internal or external audiences.
Experience applying generative AI, automation, or AI-enabled workflows to business problems, including prototyping data, analytics, visualization, or AI-enabled solutions.
Working knowledge of Python, SQL, APIs, Power BI, or similar analytical or data visualization technologies.
Experience developing dashboards, interactive content, analytical products, executive presentations, or digital communication experiences.
Familiarity with data governance, responsible AI, or technology controls in a regulated or reputation-sensitive environment.
Experience working across global, distributed, or multidisciplinary teams.

Responsibilities

Lead complex cross-functional initiatives from problem definition and requirements gathering through solution development, implementation, and adoption, managing priorities, milestones, dependencies, risks, and stakeholder expectations across concurrent workstreams.
Build and maintain relationships with analytical teams, business leaders, technology and product partners, and other stakeholders; facilitate discussions to clarify problems, challenge assumptions, and align stakeholders on practical solutions.
Determine suitable approaches to business challenges using data analysis, visualization, AI, process improvement, storytelling, or a combination of methods.
Identify opportunities to use data, analytics, automation, and AI to improve decision-making, productivity, and user experiences.
Work directly with data, AI tools, and analytical technologies to explore ideas, test assumptions, and develop early-stage prototypes; partner with technical specialists to scale viable concepts.
Translate complex research, data, and business information into clear, actionable narratives; develop and guide executive presentations, dashboards, interactive content, and other stakeholder-facing materials.
Present findings and recommendations confidently to senior audiences.
Evaluate emerging tools for practical value, accuracy, and alignment with data and technology controls.
Contribute to repeatable approaches, standards, and best practices that strengthen consistent delivery and enable scaling across the organization.