Location: Jersey City, NJ, United States

Join our dynamic team to transform the employee experience through data, analytics, and responsible AIdelivering insights and products that improve workforce outcomes, leader decision-making, and firmwide productivity.

As a Technical Project Manager at JPMorganChase within the HR / Employee Experience Data & Analytics organization, you will lead cross-functional programs that enable high-impact people analytics and data products (e.g., workforce reporting, listening/sentiment insights, talent dashboards, HR data platforms, and AI-enabled employee experiences). Youll translate HR and employee experience objectives into actionable delivery plans, navigate ambiguity across business and technical stakeholders, and drive measurable outcomes. 

Job responsibilities

• Program strategy & planning: Support the development and execution of program roadmaps for HR / Employee Experience Data & Analytics initiatives, aligning to organizational priorities and measurable outcomes (adoption, time saved, decision quality, risk reduction).
• Operating rhythm & portfolio management: Own portfolio cadences (planning, prioritization, quarterly OKRs), track dependencies, manage RAID logs, and drive transparent status reporting across stakeholders.
• Delivery oversight: Lead or support delivery of analytics and data initiatives (e.g., new dashboards, data pipelines, survey/listening analytics, AI/GenAI pilots), ensuring milestones, risks, and cross-team handoffs are actively managed.
• Stakeholder management: Act as a liaison across HR product owners, HR operations, data engineering, data science, risk/compliance, and technology teams; ensure crisp communication and closure on action items.
• Executive communications: Prepare briefing materials, updates, and narratives for senior leadership; synthesize data into insights, trade-offs, and recommendations to support decisions.
• Process improvement: Identify bottlenecks in intake, prioritization, data access, and delivery processes; implement lightweight operating improvements to increase throughput and predictability.
• Governance, privacy, and controls: Ensure adherence to data governance, employee data privacy expectations, model risk / AI governance (as applicable), and technology risk management requirements.
• Change management & adoption: Support enablement plans (training, comms, stakeholder readiness) to drive adoption of new analytics products and AI-enabled workflows.
• Team culture: Contribute to an inclusive, high-performing culture through communications, recognition, and team engagement.

Required qualifications, capabilities, and skills

• Experience in technical program/project management delivering complex initiatives in a fast-paced environment.
• Experience in Strategy, COO, or Program Management rolessupporting cross-organization stakeholders.
• Bachelors degree (advanced degree such as MBA is a plus).
• AI fluency: demonstrated aptitude using tools such as LLM Suite, Microsoft Copilot, and/or modern BI + AI capabilities; able to identify practical, responsible AI opportunities in analytics workflows.
• Strong project management fundamentals (scope, schedule, RAID, dependency management, prioritization).
• Experience supporting senior leaders and navigating competing priorities across multiple stakeholder groups.
• High judgment, maturity, and poise; comfortable operating with sensitive employee data contexts.
• Excellent analytical and problem-solving skills; adaptable and comfortable with ambiguity.
• Outstanding written/verbal communication, including executive-ready storytelling and materials (advanced Excel and PowerPoint skills).

 

Data Modernization Technical Project Manager Associate