Director, Product Management -- Data Science
- Location SAN BRUNO, CA
- Career Area Marketing and Customer Insights
- Job Function Marketing
- Employment Type -
- Position Type -
- Requisition 1116740BR
What you'll do at
The Walmart Global eCommerce team is responsible for building and enhancing the next generation global eCommerce capabilities for our rapidly expanding customer base. This role will use one of the most comprehensive consumer data sets in the world to optimize and personalize experiences for our customers.
As Director of Product Management -- Data Science, you will lead strategy and implementation of our modeling efforts to deliver the most relevant digital messages to our existing and prospective customers. The tactics will include -- but are not limited to -- bidding and buying practices across paid media such as search engine marketing, real-time bidding platforms, paid social contexts and other internal personalization platforms.
In all cases, scale and efficiency are essential as Walmart offers one of the largest product catalogs in the world. For this reason, nearly all of our solutions are designed and implemented in-house. Combining elements of optimization, experimentation and growth hacking you will deliver and enhance systems which feed the right message to the right user at precisely the most impactful moment.
The role is not relegated to a science experiment however. You will have direct accountability to business goals (goals that you will help set and determine how to measure).
We are a high-performance team looking for others who will challenge us to become even better. Come join an organization where you’ll have the opportunity to contribute significant impact by solving problems at a scale available to only a few entities in the world. At Walmart eCommerce, the products you create are only bound by the scope of your imagination.
●Nexus of communication and planning between marketers, data scientists and engineers. Ability to lead each of these audiences with confidence and authority.
●Drive prioritization, strategy and vision for a wide array of machine learning efforts across multiple data science teams.
●Ability to prioritize competing data science initiatives and communicate with precision.
●Work with rock star data science and data engineering teams in a fast paced, agile development process.
●Communicate the benefits and champion the system you design throughout the organization.
●Lead instrumentation and analysis of A/B testing to guide prioritization.
●Analyze data to provide actionable insights.
●Work closely with other product managers to provide visualization of performance and insights gleaned from these modeling efforts.
●Lead, drive consensus and deliver in a matrixed organization with multiple stakeholders.
2 years supervisory experience.
Ability to drive teams toward a shared vision with velocity, and possess an indomitable bias toward action in the face of ambiguity.
Data science experience is as important as product management experience.
Proven track record of pushing complex, revenue-impacting features and products to closure in a web/mobile environment.
Able to manage multiple projects and priorities in a fast-paced environment.
Demonstrated ability to understand and discuss technical concepts, manage tradeoffs and evaluate opportunistic new ideas with internal and external partners.
Experience with eCommerce or programmatic marketing tactics (SEM, bidding optimization, etc.) a plus.
Ability to quickly establish credibility with software engineers and architects (C.S. degree or equivalent experience).
Excellent communication skills. Ability to cater messages to audience including all levels of the organization (from executives to software engineers at implementation level).
Comfortable defining and owning the accountability related to a portfolio of work which contains both incremental gains and game-changing big bets.
Experience driving large cross-organizational projects with technical and non-technical stakeholders.
Understanding the data underpinnings of what it takes to personalize experiences on the web (cookies, tying outbound marketing to adaptive experiences, tracking user state, etc.).
Understanding of and experience with high throughput data pipelines and data engineering efforts.
Experience with eCommerce or retail and web-oriented technology products.
Marketing science-related work.
Experience with eCommerce sign-up flows a big bonus.
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All the benefits you need for you and your family
- Multiple health plan options
- Vision & dental plans for you & dependents
- Associate discounts in-store and online
- Financial benefits including 401(k), stock purchase plans and more
- Education assistance for Associate and dependents