Position Purpose:
As a Sr.
Product Manager, you will play a pivotal role in shaping the future of AI within our enterprise-wide retail operations.
Your primary responsibility will be to gather and analyze AI use cases across various departments, ensuring alignment with our strategic goals.
You will collaborate closely with cross-functional teams to support leadership's investment priorities, driving initiatives that enhance our competitive edge.
Additionally, you will help define and implement the company's AI strategy, both short and long term, ensuring we remain at the forefront of innovation in the retail industry.
Your expertise will be crucial in leveraging AI to optimize processes, improve customer experiences, and drive business growth.
Key Responsibilities: 50% Strategy & Planning:Seeks to empathize with and understand the end user deeply and use that knowledge to determine the fastest path to deliver valueTranslates business goals and end user needs into product strategy; communicates direction and product priorities to the development team, other matrixed teams, and third-party partnersIdentifies goals, metrics and analytics to determine product value; continually makes recommendations and refinements to the product backlog based on learningsManages and grooms the product backlog; makes future decisions based on the value that will be deliveredPartners with Finance to understand financial needs and assist in the creation of business plans for new opportunitiesMonitors research as well as the competitive landscape to recommend the best solutions and ensure that products remain or become best in classEnsures that product directions balance both the user needs and business goals of driving sales, improving efficiency and enhancing customer satisfaction20% Delivery & Execution:Formulates, tests and refines assumptions and hypotheses through user research and testingDocuments, reviews and ensures that all quality and change control standards are metCreates, prioritizes and accepts user stories; incorporate them into release planningMakes product decisions that drive value on a daily basisIdentifies and considers pros, cons, issues, obstacles, dependencies and value associated with features and enhancementsParticipates in standups, iteration planning sessions, product demo, and retrospectivesCondenses complex technical concepts into non-technical language for stakeholders30% People:Fosters collaboration with team members (Engineering, UX, etc.)
to drive value and identify and resolve impedimentsActs as a proponent of modern software development practicesAdvocates for the end user and stakeholder by becoming associated with the product, empathizing with and understanding user needsWorks with the product team to continuously assess progress, disseminate lessons learned, and understand next stepsManages cross functional team and stakeholder expectations to execute on product strategy and provides education to requestors to determine prioritization based on tangible benefits and/or user experienceGuides more junior team members in strategy, alignment, analysis and execution tasksParticipates in and contributes to learning activities around modern software design and development core practices (communities of practice)Participates in talent acquisition, development and retention activities in support of team Direct Manager/Direct Reports: Typically reports to the Product Management Manager or Sr. Manager. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about.
On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area.
Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older.Must be legally permitted to work in the United States.Must be legally permitted to work in the United States Preferred Qualifications: Advanced degree (MBA or Master's) in a technical discipline or business administration is preferred.Extensive experience in AI, machine learning, and data science.Strong understanding of AI use cases and their application in business contexts.Proven track record of managing AI or technical products from concept to launch.Experience in creating and executing product roadmaps, defining product vision, and setting success metrics.Ability to align product initiatives with business goals and leadership priorities.Strategic thinker with the ability to drive innovation and long-term vision for AI applications.Strong analytical skills to derive actionable insights from complex data sets.Excellent collaboration skills with cross-functional teams, including engineers, data scientists, and business stakeholders.Strong verbal and written communication skills to articulate technical concepts and business value. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholdersBusiness Insight: Applying knowledge of business and the marketplace to advance the organization's goalsCollaborates: Building partnerships and working collaboratively with others to meet shared objectivesCommunicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesCultivates Innovation: Creating new and better ways for the organization to be successfulCustomer Focus: Building strong customer relationships and delivering customer-centric solutionsDrives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to actionInterpersonal Savvy: Relating openly and comfortably with diverse groups of peopleManages Complexity: Making sense of complex, high quantity and sometimes contradictory information to effectively solve problemsNimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodderOrganizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamicsSituational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situationsEmpathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution
The application window is anticipated to be closed on November 25th, 2024.
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