Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.
Right along with Target’s distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environment? Are you a customer service enthusiast who’s curious about the guest and can see the shopping journey through their eyes? Then you’ll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms—including Target.com and the store network’s fulfillment capabilities. Here, you’ll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience.
About the Job:
The Item Intelligence team at Target builds algorithmic solutions that drive automated-decisioning focusing on gaps in item data quality and opportunities relative to item data performance across the enterprise.
As the Lead Product Owner, Item Intelligence Platform – MLOps, you will establish the vision, strategy, and roadmap for the platform that enables machine learning / artificial intelligence solutions to be integrated within Target’s Item ecosystem and across its Digital business.
You will work with a cross-functional team of data scientists, ML engineers, application engineers, analysts, and client product owners to deliver value to our Guests and shareholders.
Specific feature work might include:
Model deployment / management features designed to maximize the efficiency of aligned Data Sciences teams.
Decision-making and consumption features designed to assist aligned Product Owners with the certification and deployment of models within their scopes.
Product Teams at Target are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. Product teams have one shared backlog that is inclusive of all product, technology, discovery and design work.
As a Lead Product Owner, you will work in the product model and will partner to develop a comprehensive product strategy, related roadmap, and set key business objectives (OKRs) for your respective product. You will need to leverage the knowledge of your product, as well as, customer feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with engineers, UX designers, data scientists and business partners to deliver a product.
You will be the “voice of the product” to key stakeholders to ensure that their needs are met and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders.
You will encourage the open exchange of information and viewpoints, as well as, inspire others to achieve challenging goals and high standards of performance while committing to the organization’s direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours. Job duties may change at any time due to business needs.
4-year college degree (or equivalent experience)
6+ years of professional experience in product management and/or a related technology field
Strong communication skills
Experience with technology and ability to facilitate communication between business and technology teams
Experience working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas)
Proven ability to lead a body of work with cross functional partners
Demonstrated success in working with a cross-functional team including data scientists, ML engineers, and analysts to build data science products through the entire machine learning lifecycle
Superior communication skills with an emphasis on writing and asynchronous collaboration
Excellent analytical skills with experience in hypothesis-driven decision-making
Exposure to financial modeling and attribution helpful