DESCRIPTION

Want to lead safety analytics development & roadmapping at scale to make our communities safer? Are you looking for a role with high impact and high visibility? We are looking for a motivated, data-oriented self-starter to join as a Program Manager on the Delivery Service Partner (DSP) Accountability team!
In this role, you’ll take end-to-end ownership for the analytics roadmap that improves safety for delivery associates and the communities they serve. We seek a leader who can generate and execute complex analytics initiatives, own data pipelines and quality end-to-end, create insights via scalable analysis, leverage AI and other tooling to create new ways to approach safety, and consistently deliver results across diverse cross-functional teams.
You will deliver and manage complex, customer-facing data pipelines and deliver business analytics to solve challenging problems. We are looking for someone who can own an end-to-end analytics product across multiple tech teams, including design/ideation for analytics systems, stakeholder and leadership alignment, driving a cross-team roadmap, developing KPIs, delivering advanced analytics, and ensuring excellent data quality.
You will be successful in this role if you can manage multiple competing priorities, often with urgent deadlines, and deliver at speed while developing a long term strategy. You will need to be a capable communicator who can distill complex analysis into simple messaging and visuals, with the ability to apply analytical skills to problem solving and product management.

Key job responsibilities

• Own production, customer-facing near-real time data pipelines end-to-end, including data quality and launching new data products.
• Develop and manage the roadmap for product improvements to identify and solve complex problems in an ambiguous space.
• Lead the development of metrics to track performance and enable deep dives.
• Define and document business requirements and system design across multiple tech teams.
• Spearhead projects to leverage AI and ML and create novel analytics approaches to business problems.
• Clearly communicate, both verbally and in writing, to drive buy-in across a diverse group of stakeholders with competing priorities, including executives. Translate complex concepts into simple, actionable decisions.
• Lead data quality initiatives to drive high fidelity, high quality data for decision-making.
• Manage dependencies and own status reporting for time-sensitive projects involving technical and non-technical contributors.
• Conduct hands-on analysis as needed to support key initiatives and decision-making.

A day in the life
In this role, your day centers on leading the analytics roadmap while diving into the data to understand trends. You will deep dive systems end-to-end, align a roadmap, and lead customer-facing delivery. You’ll spend time using Python, SQL, and/or Excel to understand the data yourself and review output from partner teams. You will manage projects through delivery, and lead QA, UAT and deployment of new data pipelines/analytics products.
You’ll collaborate with partner teams like software, product and data engineering teams to measure system performance and launch new feature sets. You will present findings and roadmap progress to executive stakeholders, transforming complex data problems into clear, actionable insights.
About the team
Our team is responsible for designing and maintaining products and programs with safety impact at massive scale. We love combining data with customer feedback to design permanent solutions to challenging problems. We work across multiple partner teams with functions ranging from tech development to communications. We take great pride in our vision to build the world’s safest transportation network.

BASIC QUALIFICATIONS

• 5+ years of product or program management, product marketing, business development or technology experience
• Bachelor’s degree or equivalent
• Experience owning/driving roadmap strategy and definition
• Experience with end to end product delivery
• Experience with feature delivery and tradeoffs of a product
• Experience as a product manager or owner
• Experience owning technology products

PREFERRED QUALIFICATIONS

• Experience in influencing senior leadership through data driven insights
• Experience working across functional teams and senior stakeholders
• Bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or other related field
• Ability to write in SQL or Python
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $124,500/year in our lowest geographic market up to $206,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

• Own production, customer-facing near-real time data pipelines end-to-end, including data quality and launching new data products.
• Develop and manage the roadmap for product improvements to identify and solve complex problems in an ambiguous space.
• Lead the development of metrics to track performance and enable deep dives.
• Define and document business requirements and system design across multiple tech teams.
• Spearhead projects to leverage AI and ML and create novel analytics approaches to business problems.
• Clearly communicate, both verbally and in writing, to drive buy-in across a diverse group of stakeholders with competing priorities, including executives. Translate complex concepts into simple, actionable decisions.
• Lead data quality initiatives to drive high fidelity, high quality data for decision-making.
• Manage dependencies and own status reporting for time-sensitive projects involving technical and non-technical contributors.
• Conduct hands-on analysis as needed to support key initiatives and decision-making