
at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
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As Solutions Lead Analyst in Jersey City, NJ, orchestrate cross-functional tech initiatives at JPMorgan Chase. Key responsibilities include driving program plans, managing resources, governing progress, and leveraging AI capabilities. Essential skills: 5+ years delivering complex tech programs, executive communication, structured problem-solving, and technical fluency. Leverage enterprise AI, data analysis tools, and presentation platforms to enhance visibility and decision-making. Bridge product owners and software developers with advanced analytics. Preferred: FS tech experience, change management, operating rhythm establishment, and supporting senior tech leaders.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Jersey City, NJ, United States
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
Job responsibilities
- LBuild 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.
- 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.
- 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



