Technical Product Manager

Role overview Coordinate strategic programs that span product, technology, operations, data, and innovation. This role connects business priorities with technical delivery: shaping plans with executives, translating goals into requirements and roadmaps, and making progress, dependencies, and system designs visible across teams. A major focus is establishing durable documentation and governance practices to support enterprise modernization and AI-related work.

Responsibilities - Plan and coordinate cross-functional initiatives, including objectives, milestones, dependencies, ownership, and measures of success. - Gather business and technical needs and turn them into requirements, user stories, workflows, product plans, and decision materials. - Create and maintain product specifications, technical designs, process documentation, integration details, runbooks, and release or testing materials. - Build architecture, system interaction, data flow, integration, capability, and user journey diagrams; keep them aligned with evolving systems. - Introduce documentation standards and version-controlled, diagram-as-code practices using tools such as Markdown and Mermaid. - Coordinate delivery planning and releases, track risks and blockers, and identify opportunities for automation, AI, and process improvement.

Requirements - Experience in financial technology, lending, banking, financial services, SaaS, or technology organizations. - Experience supporting enterprise transformation or modernization programs. - Familiarity with APIs, integrations, event-driven systems, and enterprise application environments. - Experience producing architecture diagrams and process models with tools such as Mermaid, PlantUML, C4, Lucidchart, Visio, or Miro. - Experience with documentation-as-code practices and using generative AI to support technical documentation, process modeling, or solution design. - Familiarity with enterprise architecture frameworks and operating models.

Nice to have - Exposure to platforms such as Salesforce, Encompass, Azure, or Microsoft Fabric. - Knowledge of AI governance, retrieval-augmented generation, vector databases, or agent-based AI concepts. - Ability to demonstrate initiative planning, executive communication, requirements writing, diagramming, and cross-team dependency management in a technical assessment.