
General Manager - Program Management (Business Product) - EDC (Card Machine Business)
Function: Merchant Business - EDC (Card Machine)
Experience: 10-12 years
Education: Engineering (IIT / NIT), MBA (IIM/equivalent) preferred
Mandate: Own merchant experience and business outcomes for EDC devices, operating at the intersection of Product, Data Science and Operations.
Role Overview:
The person will sit at the center of Product, Data Science and Operations to define what gets built, why, and how success is measured - converting merchant and market signals into a prioritized roadmap and measurable business outcomes for EDC.
Key Responsibilities:
- Product Roadmap and Feature Prioritization: Partner with Product to define the EDC roadmap; translate merchant pain points and field feedback into PRDs; prioritize features using impact-effort / RICE-style frameworks; run pilots and track feature adoption post-launch.
- Data-Driven Decision Making: Partner with Data Science to build activation, usage and retention funnels; run A/B experiments and cohort analysis; build dashboards that turn merchant behavior into a prioritized action list rather than just reporting.
- Cross-Functional Orchestration: Align Product, Data Science, Operations and Field/Sales teams on a shared roadmap and cadence - weekly reviews, OKR tracking, and escalation of blockers.
- Business Outcome Ownership: Directly own EDC device activation, usage depth, merchant retention and revenue/take-rate metrics, with accountability comparable to the Soundbox charter.
- Operations Interlock: Work with Ops on device supply, field deployment and after-sales service quality as inputs to the merchant experience.
Success Metrics (OKR Framework):
- Device activation rate and time-to-activation
- Feature adoption rate against roadmap releases
- Merchant retention / churn and NPS
- Revenue / take-rate contribution from EDC merchant base
What We're Looking For:
- 10-12 years in product, business strategy, or growth roles fintech, payments, or hardware-led businesses preferred.
- Engineering degree (IIT or equivalent) plus MBA (IIM or equivalent) preferred.
- Strong analytical rigor; comfortable working directly with SQL/data tools and Data Science teams, not just consuming their output.
- Demonstrated ability to lead cross-functionally across Product, Data and Operations without formal authority.
- Sharp business judgment - able to move from data to a prioritized, defensible roadmap.
Didn’t find the job appropriate? Report this Job