Business Intelligence Engineer, Ads Marketing Decision Science

We are looking for an experienced and self-driven Business Intelligence Engineer with deep understanding in analytical tools, to be part of a team of talented scientists and engineers to innovate, iterate, and solve real world problem with cutting-edge AWS technologies. In this role, you will take a leading role in driving business analytics to inform the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis. You will lead end-to-end development of business intelligence solutions and you’ll play an integral role in strategic decision-making. If you are passionate about creating the future, come join us as we have fun, and make history.

Key job responsibilities
- Define and execute an analytical roadmap that drives data-informed decision making for marketers and advertisers
- Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions
- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale
- Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases
- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads Marketing orgs

About the team
Marketing Decision Science provides science products to enable Amazon Ads Marketing to deliver relevant and compelling guidance across marketing channels to prospective and active advertisers for success on Amazon. We own the product, technology and deployment roadmap for AI- and analytics-powered products across Amazon Ads Marketing. We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.