Product Manager Senior Lead, Commercial

FIS•Atlanta, GA

About The Position

At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the role: We are seeking a senior, highly technical product leader to drive the architectural vision and AI strategy across our Commercial Lending solutions. This role sits at the intersection of product management, solution architecture, data platforms, and applied AI. This leader will act as a Product Architect—responsible not just for what we build, but how our solutions are designed, integrated, and evolved across platforms. The role will play a critical part in aligning two products which will help shape our AI data strategy and enable scalable innovation through Snowflake, internal platforms, and third-party partnerships. This is not a traditional backlog-focused PM role. Success in this position requires deep technical fluency, system-level thinking, and the ability to partner closely with engineering, architecture, data, and AI teams.

Requirements

8–12+ years of experience in product management, technical product leadership, or solution architecture, preferably in enterprise or financial services software.
Strong understanding of: Modern software architecture (cloud-native, microservices, APIs, event-driven systems)
Data platforms and analytics architectures (e.g., Snowflake or similar)
AI/ML concepts as applied to enterprise software (not model building, but applied architecture and data strategy)
Proven experience working deeply with engineering and architecture teams, with the ability to challenge and influence design decisions.
Comfort operating in highly complex, regulated environments.
Experience with commercial lending, credit, or financial services platforms.
Background in platform product management or architecture-heavy product roles.
Experience designing products that leverage AI across multiple solutions, including partnerships with third-party vendors.
Ability to communicate complex technical topics clearly to executive and non-technical audiences.

Responsibilities

AI & Technical Product Architecture: Define and evolve the end-to-end product architecture for AI-enabled capabilities across Commercial Lending and adjacent solutions. Serve as the technical authority within Product for architecture decisions, configuration options, integration patterns, and platform extensibility. Translate complex architectural concepts into clear product direction for engineering, leadership, and go-to-market teams.
Platform Alignment: Drive a cohesive architectural strategy to bring lending solutions together, balancing reuse, configurability, performance, and regional flexibility. Deeply understand and influence how workflows, data models, and configuration frameworks operate across the two products. Partner with engineering and architecture leaders to reduce fragmentation while preserving customer-specific and region-specific needs.
AI Data Strategy & Snowflake Enablement: Define how AI data is sourced, governed, stored, and shared across products and platforms. Partner closely with data architecture teams to ensure Snowflake enables: Cross-solution analytics and AI use cases, Secure, compliant data access, Scalability for future AI and agentic use cases. Ensure AI capabilities are designed with explainability, security, and regulatory considerations in mind.
AI Enablement & Third-Party Partnerships: Shape the product strategy for buy/build/partner decisions related to AI capabilities, aligned with internal AI initiatives and leadership direction. Evaluate and integrate third-party AI technologies where appropriate, ensuring architectural and data alignment. Act as a key product partner to internal AI, platform, and innovation teams.
Cross‑Functional Technical Leadership: Operate as a connective tissue across Product, Engineering, Architecture, Data, Presales, and GTM. Support customer-facing teams with deep technical context for architecture, AI capabilities, and future direction. Influence long-term platform and investment decisions through clear articulation of architectural trade-offs and opportunities.