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Senior Lead Acceptance

Job Description - Senior Lead Acceptance


Role
Overview

The
RuPay Product Senior Lead / Dy. Incharge – Core is responsible for building,
enhancing, and evolving the core product capabilities of the RuPay card
network. The role focuses on architecting large‑scale payment platforms,
strengthening the scheme’s core infrastructure, driving innovation aligned with
global card payment ecosystems, and ensuring best‑in‑class product design.


Key
Responsibilities

  • Lead the end-to-end product ownership of
    RuPay Device/Card Tokenization solutions.

  • Drive strategy, development, and lifecycle
    management of tokenization products across ecosystems (NFC, HCE, OEM Pay,
    etc.).

  • Design and oversee payment flows, ensuring
    seamless and secure customer journeys across channels.

  • Work closely with technology teams to
    define and validate product APIs, integration flows, and architecture.

  • Collaborate with internal and external
    stakeholders (banks, networks, OEMs, fintechs) for product adoption and
    ecosystem expansion.

  • Ensure compliance with network rules,
    security standards, and regulatory guidelines.

  • Monitor product performance, usage
    metrics, and continuously improve customer experience and transaction
    success rates.

 

Core
Competencies

·       Strong
understanding of device & card tokenization.

·       Deep
knowledge of payment ecosystems, transaction flows (Card Present & Card Not
Present).

·       Expertise
in API-based product design and integration flows.

·       Familiarity
with digital payments, NFC, mobile wallets, and token requestor ecosystems.



Requirements

  • Strong
    Product Management experience in Digital Payments, Banking, Fintech, or
    Financial Services.
  • Deep
    understanding of UPI, payment systems, APIs, and digital payment
    ecosystems.
  • Experience
    managing large-scale products from conception to launch and optimization.
  • Strong
    analytical, problem-solving, and stakeholder management skills.
  • Exposure
    to AI, GenAI, Machine Learning, data analytics, and platform products is
    highly desirable.
  • Excellent
    communication and executive presentation skills.


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