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Consumer Data Science Product Management

Job in Beaverton - Washington County - OR Oregon - USA
Company: HireTalent
Full Time position
Listed on 2021-04-06
Job specializations:
  • IT/Tech
    Computer Engineer
  • Software Development
Job Description & How to Apply Below
Job Title: Consumer Data Science Product Management
Duration: 12 Months
Location: Beaverton, OR

Job Summary
We are looking for a Data Science Sr. Product Manager that is passionate about machine learning and personalization.
This person will lead cutting-edge, AI / Client algorithm-centered innovation projects aimed at delivering new experiences for Client members that drive business value to Client, and deliver insights to the business to inform footwear and apparel product development, distribution of Client products with an emphasis on direct to consumer, and brand and marketing insights and activations to help power the world s biggest brand.

What Will You Work On
In this highly visible and high-profile role, you will assist with the development and execution of product vision and strategy, lead the end-to-end lifecycle of a product (ideation through sustainment), and help identify market opportunities. You will manage the business of the data products as well as the functionality, design, and features. You will define and execute thorough roadmaps and product priorities based on a strong understanding of consumer needs and data science. The Sr Data Science Product Manager will influence, educate, and advocate on tacticaproduct decisions as well as the strategic decisions to enable the next slate of amazing experiences for Client members.

Who Will You Work With
You will manage cross-functional product management squads across the Client matrix focused on delivering AI / Client algorithms that power customer experiences and data products. You will work in close collaboration with data scientists on the Consumer Data Science (CDS) teams. This may involve any combination of the following CDS teams: Product Design & Merchandising (Footwear & Apparel), Client Direct (Core Commerce, Direct to Consumer,Client Run Club & Client Training Club), and Marketing and Brand (Targeted Marketing and Content). You ll also partner closely with Digital Product Experience, Client core business units, and engineering partners such as data engineering, pipeline development, etc. You will report directly to the Director, Data Science product.

What You Bring

Bachelor s degree or postgraduate education (MS or PhD) in an applied quantitative field or equivalent experience at a cutting-edge company
3 - 5 years experience building data science products powered by artificial intelligence in a large organization (experience with a consumer products organization is preferred but is not a requirement)
Demonstrated ability to conduct customer interviews (internal and external), identify pain-points, and determine if / how artificial intelligence can / will solve the problem
Robust understanding of consumer products industry including industry participants, channels (eCommerce, brick & mortar, and wholesale channels), customers and market segments, and innovations
Demonstrated entrepreneurial or entrepreneurial experience collaborating with data scientists, engineers, and designers solving customer problems with a tool /platform that was powered by AI / Client
Demonstrated experience using mathematical modeling and machine learning to solve business problems
Demonstrated experience as a product manager, ideally with a consumer technology product. Specific activities include: formulating product strategy, evaluating and prioritizing ideas, creating business cases, defining product features, overseeing development, and orchestrating product launch / releases
Familiar with traditional PM methodologies (e.g., Agile, Kanban, Waterfall, etc.) and knowledge of when to apply methodologies
Record of clearly defining and measuring what success looks like for previously managed products (by leveraging OKRs, KPIs, etc.)
Ability to thrive in a fast-paced, flexible environment
Organizational leadership and influence without relying on hierarchy
Ability to present persuasive arguments, write clearly and concisely, listen attentively, and negotiate with stakeholders and partners to reach mutually beneficial outcomes
Deep understanding of statistical hypothesis testing and A/B methods
Demonstrated ability to manage cross-functional product squads and influence without authority
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