Solutions Lead Analyst

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Lead Solutions Analyst to drive innovative data analytics and technical program delivery across large-scale technology initiatives.

You will connect engineering, product, operations, and senior leadership—translating complexity into clear plans, decisions, and outcomes. This role requires strong executive communication, governance discipline, and the ability to navigate ambiguity while maintaining momentum across multiple workstreams and

Qualifications

• Formal training or certification on software engineering concepts.
• Experience delivering complex technology programs in large, matrixed organizations with multiple senior stakeholders.
• Strong executive communication skills and ability to drive decisions in leadership forums.
• Ability to operate amid ambiguity, shifting priorities, and organizational complexity while maintaining momentum.
• Analytical reasoning and structured problem-solving to break down objectives into actionable plans.
• Proficiency with modern platforms, software delivery practices, and AI-enabled tooling.

Responsibilities

• Build and maintain integrated program plans across workstreams with scope, timelines, milestones, and deliverables.
• Track critical path items, dependencies and delivery dates; surface impacts and drive course corrections.
• Run governance forums and leadership readouts to keep programs moving forward.
• Maintain a decision log and drive items to resolution with clear ownership and due dates.
• Track actions with owners and due dates; follow up to ensure commitments are met.
• Create and manage program status decks with executive-ready updates on progress, risks, mitigations, and next steps.
• Own end-to-end risk, assumption, issue, and dependency management with clear ownership.
• Manage resource and capacity planning across programs, including onboarding and offboarding coordination.
• Leverage enterprise AI capabilities to accelerate requirements synthesis and solution optioning with data sensitivity in mind.
• Promote reuse-first, AI-assisted analysis and documentation with human review for delivery standards.

Skills

Executive communication

Delivery leadership

Analytical thinking

Problem solving

AI capabilities

Data analysis

Presentation tools

Stakeholder management

Education

Software engineering concepts training

Job description

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 at JPMorganChase within Corporate Technology, you will bring structure and operational rigor to a portfolio of large-scale, cross-functional technology initiatives that impact clients, employees, and stakeholders across the firm. You will serve as the connective tissue between engineering, product, operations, and senior leadership - translating complexity into clear plans, decisions, and outcomes. This role demands both big-picture thinking and relentless execution: you will set priorities, manage resources, mobilize matrixed teams, and proactively surface and resolve delivery risks before they become blockers. Your success will be measured by the clarity you create, the follow-through you drive, and the confidence you build with the leaders you support.

Job responsibilities

• Build and maintain integrated program plans across workstreams, including scope, timelines, milestones, and deliverables, ensuring all teams are aligned on objectives and release readiness
• Track critical path items, dependencies, and delivery dates - surfacing impacts early and driving timely course corrections across engineering, product, quality assurance, and operations teams
• Run the operating rhythm and governance forums, including status meetings, leadership readouts, and cross-functional coordination sessions that keep programs moving forward
• Maintain a decision log and drive open decision items to resolution, ensuring clear ownership, accountability, and timely closure across all program workstreams
• Track actions with defined owners and due dates, applying persistent follow-up discipline to ensure commitments are met and escalations are handled proactively
• Create, refresh, and manage program and portfolio status decks, delivering concise executive-ready communications that summarize progress, risks, mitigations, decisions needed, and next steps
• Own end-to-end risk, assumption, issue, and dependency management by confirming ownership, due dates, mitigation plans, and escalation or closure paths
• Manage resourcing and capacity across programs, including resourcing plans, capacity views, onboarding and offboarding coordination, and allocation changes
• 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.
• Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Demonstrated experience delivering complex technology programs in large, matrixed organizations with multiple senior stakeholders and competing priorities
• Strong executive communication skills, including the ability to build compelling narratives, produce concise written updates, and drive clear decisions in leadership forums
• Proven ability to operate effectively amid ambiguity, shifting priorities, and organizational complexity without losing delivery momentum
• Strong analytical reasoning and structured problem-solving skills, with the ability to break down objectives into actionable plans, milestones, and measurable outcomes
• Technical fluency with modern platforms, software delivery practices and tooling sufficient to partner effectively with engineering and architecture teams
• Proficiency in leveraging artificial intelligence capabilities, data analysis tools, and presentation platforms to enhance program visibility and decision-making
• 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.

Preferred qualifications, capabilities, and skills

• Experience in financial services technology, particularly in high-governance environments with complex stakeholder landscapes and multi-team program dependencies
• Change management experience, including communications planning, readiness activities, and adoption support across impacted groups
• Demonstrated ability to establish repeatable operating rhythms and governance structures across multiple concurrent initiatives
• Ability to quickly learn new technical domains and delivery landscapes while maintaining execution control and stakeholder confidence
• Experience supporting senior technology leaders with portfolio-level visibility, executive briefings, and strategic program communications