Director, PM-T , Devices Science Optimization (DSO)
Economic Value (EV)
You will build the economic value (EV) downsteam value attribution for all Devices product lines, including impact on Prime, subscription lift, consumer spending, and advertising value. You will also develop in-period and lifetime incremental value models using causal inference, and align Pro Forma P&L methodology with Define and own EV coverage metrics, ensuring causally validated measurement expands across the portfolio.
Marketing Science & Measurement
You will build the marketing science function from scratch, measuring incremental impact and ROI across all channels and guiding investment allocation decisions. You will establish metrics such as marketing spend coverage (causally measured %), channel coverage, and calibration error %. You will also own causal measurement of spend effectiveness and channel coverage.
Pricing & Elasticity
You will experiment consistently to push causally validated elasticity outcomes into production systems. You will own elasticity coverage and accuracy metrics, and design experiments to drive autonomous action once measurement confidence is sufficient.
Experimentation Platform Strategy
You will design and run tests that produce causal inputs for pricing, marketing optimization, merchandising, and portfolio strategy. You will partner with engineering while owning science direction, experiment design, and analytical outputs. You will drive experiment cycle time reduction and operate with AI-native workflows, using automated experimentation pipelines and machine-driven evidence synthesis to increase organizational leverage.
Key Metrics
- You'll influence marketing spend coverage (causally measured %)
- You'll influence marketing channel coverage
- You'll influence calibration error % (expected lift vs. experimented lift)
- You'll influence elasticity coverage & accuracy
- You'll influence experiment cycle time
- You'll influence EV coverage across portfolio
Qualifications
- 12+ years in applied science, economics, or quantitative marketing with increasing leadership scope
- Experience managing teams of 30+ across multiple disciplines (scientists, analysts, engineers)