Senior Product Manager, Tech (Data Science), Data Products @AmazonPay
Job ID: 2992651 | Amazon Pay (India) Private Limited
India Payments org comprises of three product portfolios (a) Core Payments Portfolios & Affordability solutions like IBD, NCEMI & Rewards (b) First-party Payment Instruments a.k.a. Amazon Pay Products (APP) (5 of them), and (3) Everyday Use Cases (EUC) (32 of them). These businesses are significantly different from each other, involve large data exchanges and analysis. Hence the need for AI/ML products for insights and customer targeting and deepening customer engagement is fast growing.
Amazon Pay India is looking for a product manager with a strong Data Science / Tech background to guide the vision and mission of the Advanced analytics team at Amazon Pay, guiding a team of highly motivated Data Scientists and analysts
Key job responsibilities
The leader would work closely with software developers, category, business and operations teams to get the products developed.
a) own and develop further the portfolio of data science products (such as Outlier Analysis Tools, Economic profit estimation tools, Next Best Action prediction, Advanced targeting, Spend optimization, and existing data pipes to other Amazon ML teams to guide their prediction).
c) Build and interpret causal models
d) Own the Propensity Data Platform (PDP) built using deep neural networks, that powers automated widgets and is used for business insights. The platform also generates customer segments for marketing, impacting an estimated 10M customers on a weekly basis and improving their customer engagement.
e) Write BRDs and other Amazon standard review docs to communicate vision and progress to management.
About the team
The Pay data team consists of 3 verticals:
a) Platform team who maintain the Single Source of truth for all pay data.
b) Business partnering team who work with Business stakeholders to serve their reporting and other analysis needs
c) Advanced analytics team who build AI / ML products that deal with targeting, optimisation, anomaly detection, help determine causality. These model outputs can also be consumed by business leaders for gaining deeper insight.
The role being publicised is for this Advanced analytics leader.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 7+ years of technical product or program management experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
PREFERRED QUALIFICATIONS
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Master's degree
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Knowledge of Statistics
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