Data Modernization Technical Project Manager

JPMorganChase • Jersey City, NJ

6h

About The Position

Join our dynamic team to transform the employee experience through data, analytics, and responsible AI—delivering 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). You’ll translate HR and employee experience objectives into actionable delivery plans, navigate ambiguity across business and technical stakeholders, and drive measurable outcomes.

Requirements

• Experience in technical program/project management delivering complex initiatives in a fast-paced environment.
• Experience in Strategy, COO, or Program Management roles—supporting cross-organization stakeholders.
• 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).

Nice To Haves

• Advanced degree such as MBA is a plus.

Responsibilities

• 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).
• Own portfolio cadences (planning, prioritization, quarterly OKRs), track dependencies, manage RAID logs, and drive transparent status reporting across stakeholders.
• 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.
• 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.
• Prepare briefing materials, updates, and narratives for senior leadership; synthesize data into insights, trade-offs, and recommendations to support decisions.
• Identify bottlenecks in intake, prioritization, data access, and delivery processes; implement lightweight operating improvements to increase throughput and predictability.
• Ensure adherence to data governance, employee data privacy expectations, model risk / AI governance (as applicable), and technology risk management requirements.
• Support enablement plans (training, comms, stakeholder readiness) to drive adoption of new analytics products and AI-enabled workflows.
• Contribute to an inclusive, high-performing culture through communications, recognition, and team engagement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level