Job Type : Potential Contract to Hire
Job Schedule : Hybrid working schedule
Technical and Analytical Proficiency
- 5+ years of experience in business analysis, product ownership, or AI / technology-driven transformation—ideally within financial services or a regulated enterprise.
- Strong understanding of AI / ML concepts, particularly agentic and LLM-based architectures.
- Familiarity with AWS cloud environments, data pipelines, and API-driven ecosystems.
- Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core in collaboration with engineers.
- Experience working with structured and unstructured data, embedding, and retrieval systems to support intelligent automation.
Business and Strategic Insight
Deep expertise in requirements analysis, process optimization, and value mapping across enterprise systems.Strong ability to quantify business impact, model ROI, and articulate how AI systems drive competitive advantage.Understanding of financial services operations, risk management, and compliance implications in production AI environments.Leadership and Collaboration
Proven success leading multi-disciplinary teams across data, engineering, and governance functions.Skilled in translating ambiguity into structure and clarity; comfortable operating at the intersection of innovation and regulation.Exceptional written and verbal communicator capable of aligning senior stakeholders around transformative AI initiatives.Mindset and Behaviour
Analytical precision, bias for execution, and intellectual curiosity about AI’s evolving role in business decision-making.Integrity-driven; consistently aligns actions with client outcomes and firm values.Embraces iterative learning and continuous improvement in both systems and self.