Sr Digital Product Ops Manager - GenAI

The pay range is $111,200.00 - $200,200.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About Us: 

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. 

As a Senior Product Ops Manager – GenAI, you will play a pivotal role in solving problems within the Digital product organization using product methodology and innovative technology. You will be responsible for exploring and evaluating a broad range of use cases where GenAI can drive value across the product organization in improving core product practices, beginning with a focus on qualitative and quantitative analytics and experimentation. Your product mindset and ability to work comfortably in ambiguity will allow you to identify and focus on the most critical problems to solve and to test solutions to uncover what is feasible, usable, and valuable.  

 

Core Responsibilities: 

• Problem Validation & Prioritization: Own the refinement and prioritization of problems for Gen AI use cases related to using qualitative and quantitative data to drive decision making as well as rapid and continuous learning. 

• Hypothesis Generation and Testing: Develop hypotheses on how GenAI can address identified problems, and experiment to test and refine these hypotheses. 

• Solution Development: Test and learn your way to developing GenAI-driven solutions that measurably improve areas of product practice, aligned with Digital and Enterprise Product’s organizational goals. 

• Cross-Functional Partnership: Engage effectively with a broad group of partners to develop problem statements and use cases, evaluate the best candidates for experimentation, and align around outcomes. Partner appropriately with the GenAI program team to work within enterprise guidelines. 

 

About You: 

• Four-year degree or equivalent experience 

• 6+ years of combined experience across product management, data analytics, and/or data engineering 

• Deep int