We’re a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.
Where we lead, others follow. For more than 160 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi’s®, Dockers®, Denizen® and Signature by Levi Strauss & Co.™
The Senior Product Manager, Data and AI is the critical bridge between data science and engineering teams and the areas of business we support. They are an expert in data science workflows and also in our business strategy and operations. This role owns prioritization, communication, stakeholder management, design and specifications for specific products within the Data and AI team’s product portfolio.
We are open to candidates located outside the San Francisco Bay Area who want to work remotely.
About the Job:
Own and drive the product roadmap for a portfolio of Data and AI products, delivering updates on products to all levels of the organization including senior management
Inspire a talented group of data scientists and engineers by simplifying problems and writing clear, detailed requirements in easy to understand language
Brainstorm product ideas with executives, test hypotheses, estimate financial costs and benefits, and determine priority of viable products
Embed into products deep understanding of our business ecosystem, business user behaviors, consumer behaviors with a focus on step-change and growth
Clearly communicate the vision, strategy, and roadmap for each product to stakeholders using a range of formal and informal communication channels
Manage the data science and data engineering workflows to launch and scale the product, leveraging Agile frameworks: align priorities and dependencies; manage and mitigate risks; set clear acceptance criteria
Provide daily leadership and direction to cross-functional team(s) on priorities, driving a culture of business impact, transparency, and trust
Build products to ensure scalability from region to region, incorporating different needs into the roadmap, driving uniformity wherever possible and enabling customization where strategically warranted
Monitor competitive and comparable capabilities to inform product strategy and design
Drive internal metrics for measuring speed to market, quality of development, and ROI
Responsible for managing cross-functional product teams
Oversee and make effective use of project-based budgets to fund external resources, data and technology enablement
Reporting line: Solid line to Global Commercial Head of Data and AI
We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered. Here's a small snapshot:
401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save.
Five hours of paid volunteer time per month with nonprofit organizations
Product discount of 50% off regular-price merchandise
Strong experience with product development and a technical background: 8+ years in product management, operations, data science/engineering, digital, tech, or strategic consulting
Retail / direct to consumer experience a must – fashion / apparel experience desirable
Strong understanding of data science and engineering workflows
Prior experience manipulating data sets through statistical software – Pivot Tables a minimum; SQL strongly desired; Python or R nice to have
Working knowledge of data visualization and data visualization tools
Familiarity with cloud platforms – e.g., AWS, Google Cloud – and related technologies
Excellent communication and storytelling communicating complex concepts and ideas in different formats
Ability to excite, motivate, and coach a team, while driving to deadlines and delivering value
Ownership mentality: own the wins and losses of products
Entrepreneurial mindset, with ability to “think big, start small, scale fast”
High level of organization and detail orientation, with ability to work across multiple projects/initiatives, troubleshoot and problem solve