Sr Digital Product Ops Manager - GenAI(Remote Or Hybrid)
About the position
As a Senior Product Ops Manager - GenAI at Target, you will play a pivotal role in solving problems within the Digital product organization using product methodology and innovative technology. Your primary responsibility will be to explore and evaluate a broad range of use cases where Generative AI (GenAI) can drive value across the product organization, particularly in improving core product practices. This will begin 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. In this role, you will own the refinement and prioritization of problems for GenAI use cases, utilizing qualitative and quantitative data to drive decision-making and promote rapid and continuous learning. You will develop hypotheses on how GenAI can address identified problems and experiment to test and refine these hypotheses. Your efforts will be directed towards testing and learning your way to developing GenAI-driven solutions that measurably improve areas of product practice, all while aligning with the organizational goals of Digital and Enterprise Product. Collaboration is key in this position, as you will 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. You will also partner appropriately with the GenAI program team to ensure that your initiatives are in line with enterprise guidelines. This role requires a deep interest in and understanding of GenAI, along with a track record of experimenting with AI-driven solutions, making it essential for you to thrive in ambiguity and lead through uncertainty.
Responsibilities
Own the refinement and prioritization of problems for GenAI use cases related to using qualitative and quantitative data to drive decision making as well as rapid and continuous learning.
,
Develop hypotheses on how GenAI can address identified problems, and experiment to test and refine these hypotheses.
,
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.
,
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.
Requirements
Four-year degree or equivalent experience
,
6+ years of combined experience across product management, data analytics, and/or data engineering
,
Deep interest in and understanding of GenAI, with a track record of experimenting with AI-driven solutions
,
Experience working in an agile environment (e.g., user stories, iterative development, scrum teams, sprints, personas)
,
Ability to thrive in ambiguity and lead through uncertainty
,
Excellent communication skills, capable of simplifying complex concepts for diverse audiences, including senior leadership, operations, product, and technology teams
,
Proven ability to influence and facilitate cross-functional collaboration
Nice-to-haves
Benefits
Comprehensive health benefits including medical, vision, dental, and life insurance
,
401(k) plan
,
Employee discount
,
Short term disability
,
Long term disability
,
Paid sick leave
,
Paid national holidays
,
Paid vacation
Apply Now
As a Senior Product Ops Manager - GenAI at Target, you will play a pivotal role in solving problems within the Digital product organization using product methodology and innovative technology. Your primary responsibility will be to explore and evaluate a broad range of use cases where Generative AI (GenAI) can drive value across the product organization, particularly in improving core product practices. This will begin 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. In this role, you will own the refinement and prioritization of problems for GenAI use cases, utilizing qualitative and quantitative data to drive decision-making and promote rapid and continuous learning. You will develop hypotheses on how GenAI can address identified problems and experiment to test and refine these hypotheses. Your efforts will be directed towards testing and learning your way to developing GenAI-driven solutions that measurably improve areas of product practice, all while aligning with the organizational goals of Digital and Enterprise Product. Collaboration is key in this position, as you will 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. You will also partner appropriately with the GenAI program team to ensure that your initiatives are in line with enterprise guidelines. This role requires a deep interest in and understanding of GenAI, along with a track record of experimenting with AI-driven solutions, making it essential for you to thrive in ambiguity and lead through uncertainty.
Responsibilities
Own the refinement and prioritization of problems for GenAI use cases related to using qualitative and quantitative data to drive decision making as well as rapid and continuous learning.
,
Develop hypotheses on how GenAI can address identified problems, and experiment to test and refine these hypotheses.
,
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.
,
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.
Requirements
Four-year degree or equivalent experience
,
6+ years of combined experience across product management, data analytics, and/or data engineering
,
Deep interest in and understanding of GenAI, with a track record of experimenting with AI-driven solutions
,
Experience working in an agile environment (e.g., user stories, iterative development, scrum teams, sprints, personas)
,
Ability to thrive in ambiguity and lead through uncertainty
,
Excellent communication skills, capable of simplifying complex concepts for diverse audiences, including senior leadership, operations, product, and technology teams
,
Proven ability to influence and facilitate cross-functional collaboration
Nice-to-haves
Benefits
Comprehensive health benefits including medical, vision, dental, and life insurance
,
401(k) plan
,
Employee discount
,
Short term disability
,
Long term disability
,
Paid sick leave
,
Paid national holidays
,
Paid vacation
Apply Now