Senior Manager, Decision Science

Sunnyvale, California, USA

Full Time Senior-level / Expert
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Posted 4 weeks ago

The Amazon Devices business builds and promotes Amazon first-party consumer electronics products to delight customers. The broad product portfolio includes Kindle, FireTV, Fire Tablet, Echo, Ring, and eero devices that meet diverse customer needs including entertainment, Alexa audio assistant, home security, and wifi access. The portfolio is dynamic with new product launches, and complementary with increased connection and utility from multiple devices and supplemental subscription services. Together, these durable products and services drive a flywheel business where long-term customer benefits yield greater device engagement, demand for related devices, and broader purchasing behavior with Amazon.

The Device Economics team are thought leaders for the wider Amazon Devices & Services organization creating and developing business models to help decide which segments we should enter, which devices or services we should build, and how our existing portfolio should evolve. The analytical services and tools we’re working on with Devices focus on areas such as automating demand model generation and economic value estimation that drive roadmap and pricing decisions. The Decision Science team within Device Economics needs an additional leader and manager. The team is looking for an analytical, innovative, hands-on and customer-obsessed Senior Product Manager, Decision Science to help set and apply economic analyses for business problems while operating in a fast and dynamic business environment. This critical leader will own end-to-end analyses - including for early stage, not launched products - for several established and emerging product lines in the Amazon Devices portfolio, and help build a team to deeply understand the business problems. This leader will hire and develop scientists to deeply understand business problems and apply their expertise and judgment to advance business decisions. This leader will work alongside a colleague who leads other product lines, and work with technical scientists and engineers in the development software to scale execution and scientific excellence.

In this role, you will support up to SVP*-level decision meetings around approving confidential funding requests (PRFAQs) for brand new devices and services, build decisions around how many hardware devices to manufacture prior to receiving any customer signal, and pricing decisions around how to price and promote products and services. You will leverage Science and Tools produced by the Device Economics team such as conjoint demand models to produce these recommendations. As the leader of the Decision Science part of the team, you will define and set relationships with critical decision makers to improve the end-customer experience by making the decisions that impact those end-customers more data and Science-driven.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us


Primary Responsibilities Include:
· Thought leadership developing business models within Consumer Electronics
· Research and understanding of customer preference trends and segment trends in order to define, establish, and advocate a vision
· Maintain the roadmap for the software service that scale business model evaluation and measurement
· Work with Software and Data Engineers to deliver on the roadmap and vision on schedule, and with a high reliability solution
· Work with Economists to define clear criteria for analytic standards in order to evaluate and continuously improve the performance of the models used within the service
· Establish mechanisms for collecting input on an ongoing basis from product line Business teams, Analysts and Economists on opportunities and gaps for the service
· Evangelize the service and provide training to internal clients both within the device organization and potentially more broadly around Amazon
· Provide support to internal clients looking to use the services and use that as an opportunity to identify potential improvements to training, documentation, or the service itself

Basic Qualifications


· Bachelor's Degree
· 10+ years of experience in product or program management, product marketing, business development or technology
· 6+ years of experience managing teams
· Experience with end to end product delivery
· Experience overseeing roadmap strategy and definition
· Experience with feature delivery and tradeoffs of a product
· Advanced degree in Economics, Computer Science, Mathematics, Statistics, or other related field
· 8+ years of experience with analytic concepts, methodologies, and tools in a data analysis or statistical analysis role
· 5+ years of experience in Product Management or 3+ years of experience in Business Leadership working with product/software teams
· Experience building and establishing scaling mechanisms that drive innovation
· Excellent communication (verbal and written) and interpersonal skills
· Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills

Preferred Qualifications

· PhD in Business, Economics, Engineering, Statistics, or related technical/ analytical field
· Experience managing and developing Technical and/or Analytical teams
· Experience effectively communicating with both business and technical/ analytical teams
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Experience & familiarity with Predictive Analytics techniques, especially Machine Learning
· Experience with consumer research techniques used in pricing, such as concept testing and conjoint
· Consumer Electronics experience (in US and/or international)

Job tags: Economics Engineering Machine Learning Marketing Research Security
Job region(s): North America
Job stats:  16  1  0
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