Product Analytics Lead, Agentic AI Employee Experience
J.P. Morgan
Product Analytics Lead, Agentic AI Employee Experience
Job Information
- Job Identification 210672487
- Job Category Quant Analytics
- Business Unit Corporate Sector
- Posting Date 01/10/2025, 02:23 am
- Locations Chaseside - Hampshire Building, Bournemouth, Dorset, BH7 7DA, GB 4 John Carpenter St, London, Greater London, EC4Y 0JP, GB
- Job Schedule Full time
Job Description
Shape the future of employee engagement and product innovation through insightful analysis of agentic AI solutions. Join our Employee Experience Product Team as a Product Analytics Lead, where your expertise will drive strategic insights, impactful solutions, and measurable business outcomes across the enterprise. This role emphasizes storytelling and translating AI product data into actionable insights, prioritizing collaboration and communication over technical AI development or implementation.
Collaborate with senior product managers, engineers, UX designers, and executive stakeholders to analyze and enhance AI-driven solutions that improve the employee experience. Your work will directly inform product roadmaps, lifecycle management, and the evolution of our AI platforms. You will champion best practices in analytics, agile delivery, and stakeholder engagement, fostering a culture of continuous improvement and innovation. Your ability to synthesize complex information and communicate compelling narratives will influence strategic direction and drive enterprise-wide impact.
Job Responsibilities
- Develop, deliver, and communicate comprehensive product success metrics that provide clear visibility into AI product performance, enabling leaders to track progress and make informed decisions that drive business value.
- Translate complex AI product data into actionable recommendations for senior stakeholders, shaping strategic direction and guiding organizational priorities through compelling presentations and insights.
- Analyze data from AI platforms to identify key trends and actionable opportunities, focusing on model performance metrics such as accuracy and precision.
- Evaluate ethical considerations, such as bias and transparency, to ensure AI products align with organizational standards and regulations.
- Apply modern tools and approaches to enhance AI analysis and business intelligence capabilities.
- Integrate AI product insights into development processes to optimize user experience and product performance.
- Ensure data integrity, reliability, and seamless integration across AI platforms.
- Establish and promote best practices in AI analytics, stakeholder management, program management, and agile delivery.
- Lead the identification and resolution of AI product friction points, flagging opportunities for improvement and innovation.
- Build strong relationships and operate as a trusted business partner across cross-functional teams.
- Champion storytelling with AI product data, translating insights into compelling narratives for diverse audiences.
Required Qualifications, Capabilities, and Skills
- Progressive experience in analytics, product management, or a related field, with a demonstrated record of delivering enterprise-level business impact.
- Expertise in defining, delivering, and communicating AI product success metrics and performance narratives to executive audiences.
- Experience with data visualization tools (Tableau, Power BI).
- Strong understanding of AI product development best practices, including iterative learning and user interaction analysis.
- Demonstrated expertise in agile methodologies and product lifecycle management tools.
- Exceptional communication, stakeholder management, and executive presentation skills.
- Ability to excel in a dynamic, fast-paced, and collaborative environment.
Preferred Qualifications, Capabilities, and Skills
- Bachelor’s degree in Business Analytics, Marketing, or a related discipline; advanced degree strongly preferred.
- Experience with enterprise AI product platforms and workflows.
- Advanced degree (Master’s) in a quantitative or technical field.
- Ability to design and implement robust metrics to evaluate the effectiveness and impact of AI-driven solutions.
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