Product Manager

Job Description

 

Product Manager – Financial Inclusion Products

Company: Manipal Business Solutions
Experience: 3–5 years
Function: Product Management / Financial Inclusion / Digital Banking
Location: Noida
Employment Type: Full-time

 

Role Summary

Manipal Business Solutions is looking for a Product Manager – Financial Inclusion Products to manage and scale assisted banking products delivered through the Business Correspondent and field-agent network.

The role will own product journeys across AePS, account opening, ReKYC, balance enquiry, mini statement, biometric authentication, micro-ATM services, customer onboarding and other BC-led financial inclusion services.

The ideal candidate should understand BC operations, rural and semi-urban banking workflows, field-agent applications, bank integrations and compliance-led BFSI operations. The candidate should also be an AI-first practitioner who actively uses AI tools to improve product documentation, analytics, automation, support, training and operational efficiency.

 

Key Responsibilities

Product Management

Own the product roadmap for Financial Inclusion products such as AePS, account opening, ReKYC, balance enquiry, mini statement and other assisted banking services.

Convert business, bank, compliance and operations requirements into clear BRDs, PRDs, user stories, process flows, release notes and UAT scenarios.

Work with engineering, QA, design, business, operations and compliance teams to deliver product features across mobile applications, web dashboards, backend workflows and partner integrations.

Improve field-agent journeys by designing simple, guided and low-error workflows suitable for agents working in rural and semi-urban markets.

 

Financial Inclusion and BC Operations

Understand and improve BC-led journeys including:

• AePS cash withdrawal
• Balance enquiry
• Mini statement
• Account opening
• ReKYC
• Biometric KYC
• Micro-ATM transactions
• Customer onboarding
• Agent onboarding and activation
• Device mapping and transaction monitoring
• Transaction failure, reversal and dispute flows

Work closely with BC operations teams to identify field-level issues, agent pain points, transaction failures, customer drop-offs and service gaps.

Define product controls for agent eligibility, transaction limits, device usage, audit trails, exception handling and operational compliance.

 

AI-First Product Practice

Use AI tools actively to improve speed and quality of product work, including:

• BRD / PRD drafting
• User story creation
• SOP and training-content generation
• Support-ticket summarisation
• Agent feedback analysis
• Product data analysis
• Test-case creation
• MIS commentary
• Communication templates
• Workflow automation ideas

Identify practical AI-led improvements for Financial Inclusion operations, such as agent support bots, AI-assisted troubleshooting, automated ticket classification, transaction failure analysis, training copilots and automated reporting.

 

Data and Business Impact

Define, track and improve key product metrics such as:

• Transaction success rate
• AePS failure rate
• Active agents
• Transactions per active agent
• Account opening conversion
• ReKYC completion rate
• Device uptime
• Biometric failure rate
• Agent activation rate
• Support ticket volume
• Reversal and dispute ageing

Use product data, MIS and field feedback to identify bottlenecks and drive measurable improvements.

 

Compliance and Risk

Work with compliance, risk and operations teams to ensure product journeys meet banking, KYC, Aadhaar, biometric, data privacy and audit requirements.

Build product-level controls for customer consent, agent authentication, transaction limits, duplicate checks, data masking, role-based access, audit trails, maker-checker approvals and exception handling.

 

Required Skills and Experience

The candidate should have 3–5 years of experience in product management, business analysis, digital banking, fintech, Financial Inclusion, BC operations or assisted banking.

Must have working understanding of at least some of the following:

• AePS / micro-ATM
• Business Correspondent model
• Account opening / CASA onboarding
• ReKYC / biometric KYC
• Assisted banking journeys
• Field-agent applications
• Bank integrations
• Transaction monitoring
• Operational dashboards

The candidate should be comfortable working with engineering teams and should understand mobile app flows, APIs, backend workflows, UAT and release management.

Strong documentation skills are required, including the ability to write BRDs, PRDs, user stories, process flows, test scenarios, SOPs and release notes.

The candidate should have strong analytical ability and should be comfortable working with Excel, dashboards, MIS and product data.

The candidate must have an AI-first mindset and should actively use AI tools to improve productivity, quality and turnaround time.

 

Good to Have

Experience in BC network operations, rural banking, agent management or financial inclusion rollouts.

Exposure to NPCI products, Aadhaar-based services, micro-ATM platforms, bank-led FI programs or assisted onboarding solutions.

Experience with Android-based field applications, WhatsApp/IVR/AI bot journeys, reconciliation, settlements, reversals or dispute handling.

Working knowledge of tools such as Jira, Confluence, Figma, Postman, Power BI, Metabase, SQL or similar platforms.

 

Ideal Candidate

The ideal candidate is practical, structured and execution-oriented. They should be able to understand field realities, speak with operations teams, write clear requirements, work with technology teams and use data to improve products.

They should understand that Financial Inclusion products must be:

• Simple for agents
• Reliable for customers
• Compliant for banks
• Scalable for operations
• Measurable for business
• AI-enabled wherever practical

 

Success Metrics

Success in this role will be measured by:

• Improvement in transaction success rate
• Increase in active agent productivity
• Higher account opening and ReKYC completion rates
• Reduction in failed or incomplete journeys
• Reduction in support tickets and escalations
• Timely delivery of product releases
• Quality of documentation and UAT execution
• Adoption of AI-led automation and productivity improvements
• Business impact generated through product enhancements