The Sr. Technical Program Manager for Credit and Lending will own end-to-end delivery of the technology programs that power  charge card, term loan, and adjacent credit products. You will be the connective tissue between Engineering, Product, Risk, Compliance, Treasury, and Operations: setting strategy for how these programs run, surfacing tradeoffs that unblock leaders, sequencing the critical path, and ensuring that what ships is audit-ready from day one.

What you’ll do:

Program ownership

• Own the integrated program plan across all active credit and lending workstreams, covering milestones, dependencies, and critical paths across Engineering, Product, Risk, Compliance, Treasury, and Operations.
• Proactively manage sequencing, resourcing tradeoffs, and escalations. When initiatives are off-track, you identify it first and bring a recommended path forward.
• Ensure Compliance, Treasury, and Operations readiness lands alongside product and regulatory milestones
• Drive incident learnings back into design, test coverage, and runbooks so each issue improves the underlying system, not just fixes the symptom.

Governance and decision-making

• Keep a single source of truth for status, decisions, risks, and owners. Maintain a living RAID log with clear owners and impact assessments.
• Facilitate structured decision-making by surfacing options and tradeoffs to leaders before problems escalate.
• Build and improve the operating systems that drive credit and lending product decisions: planning cycles, reviews, decision frameworks, launch readiness.

Communication and influence

• Produce concise, predictable updates calibrated to the audience.
• Synthesize complex cross-functional information into recommendations that help executives decide and move.
• Produce documentation of program objectives, architecture decisions, and operational impacts that onboards new team members without requiring a meeting to explain it.
• Function as a trusted thought partner to engineering leads, product managers, and senior leadership.

Execution and improvement

• Identify inefficiencies and eliminate them through automation, AI tooling, or process redesign.
• Lead technical retrospectives and post-mortems, ensuring learnings are systematized rather than forgotten.

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