Director - AI Product Manager Enterprise Solutions

External

Spgi · Dallas, TX

$127K–$200K/yrFull-timeRemoteToday

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About the role

Grade Level (for internal use): 13 The Team: The Enterprise Solutions AI team defines how S&P Global brings Generative AI into its financial products. We drive AI adoption across the Software and Lending product suites, working directly with product teams to identify, prioritize, and ship AI capabilities that solve real problems for clients. We are builders, problem solvers, and critical thinkers. We move fast, hold ourselves accountable, and expect everyone on the team to contribute ideas. If you want a role where your work shapes products used across global financial markets, keep reading. Responsibilities and Impact: - Set a clear and inspiring vision for AI across Software and Lending product suites, aligning it with enterprise strategy and demonstrating how this work fits into the broader S&P Global purpose and values. - Influence investment and resource allocation decisions at the senior leadership level, leveraging your network across functions to ensure strategic alignment and stakeholder buy-in. - Lead and develop a team, coaching and empowering others to maximize their performance and acting as an expert to advise on complex matters. - Drive the end-to-end project management of complex AI initiatives, ensuring quality value creation, acting as an escalation point, and collaborating with cross-functional stakeholders to achieve defined outcomes. - Pioneer the rapid prototyping and validation of AI concepts using advanced tools, bringing new thinking and curiosity to create innovative, data-driven solutions with a long-term perspective. - Articulate complex AI ideas and present the AI strategy, progress, and results to senior leadership, clients, and external stakeholders, adapting communication styles to diverse audiences. - All employees are required to work from the office a minimum of 2 days per week. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $127,470 to $200,000. Base salary ranges may vary by geographic location. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.

Requirements

Basic Required Qualifications:

An S&P Global employee at this level would typically have 8+ years of experience in AI product management, technical product management, or a related field, with required expertise in financial services or fintech. This experience should demonstrate advanced knowledge in specialized fields within the industry and the ability to monitor external trends.

Deep knowledge of financial markets, including reference data, corporate actions, loan lifecycle, lending, or compliance, combined with a proven track record managing complex, multi-stakeholder AI or technology roadmaps across multiple products.

Hands-on experience with Generative AI platforms such as AWS Bedrock, Google Vertex AI, or Gemini, and a demonstrated ability to build prototypes and functional apps using AI-assisted tools, comfortable with vibe coding.

Exceptional communication skills, able to articulate complex AI concepts across functions and levels, internally and externally, and negotiate effectively to agree on solutions.

We require all external candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer.

Additional Preferred Qualifications:

Experience leading technical teams, including data science or AI engineering functions, demonstrating strong emotional intelligence to recognize and navigate strengths and weaknesses in themselves and others for optimal outcomes.

Proficiency with roadmap and sprint tools (e.g., Aha!, Azure DevOps, Jira) and familiarity with cloud data platforms (e.g., Snowflake, Databricks), showcasing an ability to plan and manage competing priorities and adapt to changing circumstances.

Knowledge of financial regulatory frameworks, AI governance principles, and enterprise AI risk frameworks, applying new thinking and curiosity to create innovative, data-driven solutions.

Industry certifications (e.g., CFA, FRM, PMP, CSPO, AWS/GCP AI certifications) that reflect a commitment to continuous learning and the ability to coach and empower others to maximize their performance.

Flexible Working

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