Sr. Staff Transformation Team - Data Operations
New York, NYSalt Lake City, UTBusiness OperationsOnsite8+ YOE
Summary
Lead complex transformation initiatives across Data Operations, driving automation, AI adoption, and process improvements to shift from manual workflows to proactive, exception-based operations. Requires 8-10 years in data operations or fintech with hands-on AI/LLM experience.
About the role
What You’ll Do
- Drive and oversee complex transformation projects across all Data Operations domains, moving the organization from manual, reactive processes to proactive, exception-based workflows
- Design and implement process improvements, scalable workflows, and automation to enhance operational efficiency
- Evaluate, pilot, and deploy AI tooling, LLMs, and modern data management platforms to drastically reduce operational friction and cycle times
- Partner closely with Data Engineering, Client Services and Product teams to translate operational transformation requirements into scalable technical roadmaps
- Formulate KPIs and metrics to measure the success, impact, and ROI of transformation initiatives
- Lead the cultural and operational shifts required to adopt new tools, ensuring seamless transitions and high adoption across traditional operational teams
- Act as a force multiplier by mentoring team members, fostering a continuous-improvement mindset, and serving as a subject matter expert for operational excellence
Who You Are
- Bachelor’s degree or equivalent experience
- At least 8–10 years of progressive experience in data operations, financial services technology, or consulting, with a proven track record of leading complex operational improvements
- Deep functional knowledge of specified data operations domains
- Hands on experience leveraging AI/ML tools, Prompt Engineering, or LLMs to optimize data workflows and automate repetitive operational tasks
- Ability to look at complex data ecosystems, identify systemic bottlenecks and anticipate future capacity constraints
- Strong understanding of the regulatory and control landscapes surrounding financial data, ensuring transformation efforts preserve data integrity and security
- Skilled at constructively challenging the status quo and distilling complex technical architecture into clear, business oriented value propositions for stakeholders at all levels
- Demonstrated ability to navigate ambiguity, work independently, and drive results without constant supervision in a fast-paced environment
Skills
AI/ML toolsLLMsPrompt EngineeringData OperationsProcess AutomationKPI DevelopmentData Workflow OptimizationRegulatory ComplianceStakeholder CommunicationChange Management