Amazon Sr Manager Data & Analytics DSP 

United States, Washington, Bellevue 

631470324

Key job responsibilities
* Work with Product and Program managers, org leaders, SDMs, and Tech team members to to build relevant data products and solutions.
* Build a team of BIEs, DEs and Data Scientists to create and support datasets, metrics and KPIs to meet DSP business goals.
* In partnership with WW DSP Product & Offer and Transportation Experience orgs, develop relevant and defensible metrics and KPIs that drive and track business strategy.
* Define and develop data infrastructure, data products , dashboards and visualizations for key metrics and KPIs.
* Drive data governance (data integrity, metrics definitions, and single source of truths, accountability and documentation).
* Establish strategic partnership with business stakeholders, build team's 1YP/3YP vision and effectively communicate and drive key initiatives.
* Recruit, mentor, and lead a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.
* Provide guidance, feedback, and performance evaluations to team members, driving their development and success.
* Stay updated with the latest technology trends, methodologies, and tools in Analytics, Data Engineering, and Data Science, recommending and implementing technologies that enhance insight capabilities and efficiencies.

- Bachelor's degree
- 10+ yrs in Business Intelligence, Data Science, Data Engineering or Software Engineering role.
- 5+ years of experience hiring and leading a Data, BI or Science teams.
- Experience leading and influencing the data and BI strategy for their organization.
- Experience owning/driving roadmap strategy and definitions.
- Experience with feature delivery and tradeoffs of a product.
- Experience driving and contributing to engineering, technology and data product strategy decisions.
- Experience with SQL, Scripting/Programming (Python, R).
- 2+ years’ experience with Tableau, Looker or similar BI Reporting Platform.
- Experience with data modeling, warehousing and building ETL pipelines.
- Analytical and quantitative skills; experience using data and metrics to test and confirm assumptions, and measure success.
- Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail.

- Knowledge of product experimentation (A/B testing)
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences, as the role requires effective communication with colleagues from computer science, operations research and business backgrounds.
- Experience with AWS Tools and Technologies (Redshift, S3, Athena)
- Prior experience in customer sentiment analytics work