Lead Solutions Analyst

Lead the forefront of innovative solutions analysis in a dynamic tech environment, driving success through expertise in data analytics and technical program delivery. As a

Lead Solutions Analyst in Commercial and Investment Bank, Market Risk Technology, you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions.

You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.

• Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
• Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning, validating outputs and handling data according to sensitivity and security requirements.
• Model the design and implementation of technical solutions, ensuring seamless integration with existing systems and infrastructure
• Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
• Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices and apply technical fluency in relevant platforms and approved tools to provide strategic guidance and innovative solutions for complex projects
• Mentor and guide team members in technical writing and analytical reasoning, fostering continuous learning and reuse-first practices for analysis and documentation
• Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.

, capabilities, and skills

• Formal training or certification on solutions analysis concepts and advanced applied experience
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
• Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights, including data visualization using approved tools
• Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects Preferred qualifications, capabilities, and skills
• Experience working in Agile delivery models (Scrum and Kanban) and coordinating cross-team delivery at scale, including multi-team planning, release coordination, and dependency management.
• Experience with continuous improvement methods and comfort leveraging workflow, case management, and reporting tools to drive transparency, standardization, and measurable outcomes. Bachelors degree or equivalent practical experience is preferred. Program and product operations certifications (for example, PMP, PMI-ACP, CSM, or similar) are preferred.
• Craft and lead technical solutions, bridging product owners and software developers with advanced analytics and data-driven insights.
• Data Proficiency: Experience with data analysis techniques and major visualization platforms.
• Communication: Ability to explain complex technical concepts clearly to non-technical stakeholders.
• Leadership: Track record of leading cross-functional initiatives and mentoring junior team members.

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