Senior Technical Program Manager, Gfp Analytics
il y a 4 jours
5+ years of technical product or program management experience
- 5+ years of working directly with engineering teams experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience developing and executing/delivering product and technical roadmaps
- Experience owning/driving roadmap strategy and definition
Have you ever ordered a product on Amazon, and when that box with the smile arrived you wondered how it got to you so fast? If so, the Global Fleet & Products Analytics team might be for you. We provide the data insights that help manage our fleet of tens of thousands of delivery vans and trucks - one of the largest and most admired parcel carriers in the world. And as part of Amazon’s Climate Pledge, we’re helping lead the ”charge“ to build the world’s largest fleet of electric delivery vans.
You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. You are able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. As a TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Maturity, high judgment, negotiation skills, ability to influence, analytical talent, and leadership are essential to success in this role. This is a high visibility role with lots of room for growth across the Global Fleet & Products organization.
Key job responsibilities
- Work cross-functionally with customers, internal/external data providers, data engineering teams, BI teams, and other stakeholders to understand their needs and priorities
- Design, influence, and drive operational best practices for data governance, data standardization, data quality, data management, and analytics to enable the team to scale as we grow
- Define creative, high quality, and clear program roadmaps based on data, customer needs, team strategy, and vision
- Create buy-in for your program vision both internally and across key partners
- Proactively identify and resolve issues that may impair the team’s ability to meet strategic, financial, and technical goals - you are exceptional at unblocking people and teams to perform at their best
- Develop and write best practice wikis, internal team progress reports (“flashes”), and operational plans
About the team
Here at Global Fleet and Products (GFP), we are building the safest, most efficient, and most sustainable fleet in the world. GFP Analytics is a growing and dynamic team dedicated to the curation, governance, and analytics/reporting of data about our worldwide fleet of delivery vehicles, especially data related to managing the supply chain and ongoing operation of the fleet. We have two engineering sub-teams, Data/Infra and BI/Analytics, comprised of a diverse set of product/program managers, data engineers, business analysts, and business intelligence engineers. We also have professionals dedicated to leading data governance (“DataGov”) initiatives across programs and globalization of our product portfolio. We love data and helping our customers drive the GFP mission
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
- Working knowledge of data modeling best practices, and outstanding written and verbal communications skills, including writing long-form narrative documents on data-related topics and leading document reviews
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