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Medium: strong employer brand and metro location, but senior, specialized techno-functional role limits broad applicant competition.
High: fintech transformation focus, AI-first delivery, and consulting/product experience create strong industry fit requirements.
High: explicit 9–15 years, 5–8+ domain experience, and mandatory technical skills (SQL, APIs, cloud).
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Own end-to-end business outcomes across multiple domains with measurable impact including $500K–$2M+ annual savings/avoidance and 40%+ reduction in incidents and control gaps.
Drive cross-departmental transformation by embedding with business teams to re-engineer processes and reduce cycle time by 30–50%, translating workflows into precise delivery artifacts for engineering.
Lead AI-first solution delivery partnering with Engineering Architects and Developers, using tools like Claude Chat, Cowork, and Code to drive 80%+ adoption and 25%+ productivity gains; manage roadmap and build-vs-buy decisions influencing firm-level initiatives.
9–15 years of total work experience; 5–8+ years in solutioning, product/project management, or technical consulting with a discovery-to-production track record.
Proficiency in SQL, API interpretation, reading architecture diagrams, and directing AI coding tools; prior developer experience strongly preferred.
Hands-on experience with Agile/Scrum methodologies and tools (Jira/Confluence); skilled in process mapping, user stories, and acceptance criteria.
Bachelor's degree required; master's preferred in management, technology, or related field.
Experienced in leading cross-functional transformation initiatives with demonstrable measurable business impacts (cost savings, process improvements).
Technical operator comfortable bridging business and engineering teams with strong foundation in data modeling, cloud (AWS/Azure), SDLC, and AI-driven tooling usage.
Able to influence senior stakeholders and mentor junior consultants while managing complex, concurrent delivery workstreams in a fast-paced fintech environment.