Company Profile

Customer Capital is a B2B2C commerce and loyalty technology company that builds and operates large-scale, white-labeled digital platforms for leading banks and enterprises (such as IDFC First Bank, HDFC Bank, American Express, Mahindra Holidays, BOBCard, Ethiopian Airlines to name a few).

Our platforms power travel, shopping, gift cards, and other commerce verticals, integrated with loyalty earn-and-burn ecosystems. Instead of being a traditional services vendor, we operate as a product-led platform partner — providing end-to-end commerce infrastructure, loyalty engines, partner integrations, and optimization layers that help our clients drive customer engagement, transaction growth, and measurable retained revenue. Our model combines deep domain expertise in loyalty and commerce with strong product, technology, and data capabilities.

We are a organisation which values high-ownership, clarity of thinking, healthy debate, and execution discipline. Teams are encouraged to challenge assumptions, take accountability for outcomes, and collaborate across functions to solve real business problems — not just deliver outputs.

The work environment is fast-paced and performance-oriented, with strong emphasis on learning, commercial awareness, and customer impact. People who thrive at Customer Capital are those who are comfortable with responsibility, open to feedback, and motivated to build scalable platforms and products that serve millions of end customers through our enterprise partners.

Job title — Lead / Sr. Product Manager – Data Platform & MyStacc

Role Overview

As the Senior Product Manager / Lead Product Manager for MyStacc and the Data Platform, you will be responsible for owning the product vision, roadmap, and execution for Customer Capital’s customer engagement, personalization, analytics, and data intelligence layer.

This role will sit at the intersection of product, data, technology, business, and client success. You will lead the development of MyStacc as a personalized engagement and loyalty-commerce platform, while also driving the underlying data layer that enables customer insights, reporting, segmentation, personalization, campaign intelligence, and business performance measurement.

The role requires strong product thinking, comfort with data systems, analytical depth, stakeholder management, and the ability to translate business and client needs into scalable platform capabilities..

Key Responsibilities (KRAs):

Strategic Product Leadership

Own the product strategy, roadmap, and execution plan for MyStacc and the underlying data / analytics platform.

Define how MyStacc should evolve as the customer engagement, offers, rewards, and personalization layer across the Stacc ecosystem.

Build a scalable data product roadmap aligned with business goals, client requirements, customer behaviour, and platform growth.

Identify opportunities to strengthen platform capabilities across loyalty, commerce, offers, customer engagement, and analytics.

Customer Engagement & Personalization

Lead initiatives to create a personalized and relevant customer experience across MyStacc.

Use customer behaviour, transaction data, loyalty data, offer data,



and campaign performance insights to improve engagement and conversion.

Define product requirements for customer segmentation, recommendation logic, offer personalization, next-best-action journeys, and targeted customer experiences.

Work with business, marketing, and client teams to improve campaign effectiveness, customer activation, repeat usage, and reward engagement.

Data Warehouse, Analytics & Business Intelligence

Own the product requirements for the data warehouse / analytics layer across Tripstacc, Shopstacc, Giftstacc, Loyalty, MyStacc, payments, campaigns, CRM, and client reporting.

Define data models, dashboards, metrics, reporting frameworks, and business intelligence requirements in partnership with engineering and analytics teams.

Ensure consistent definitions of key business metrics such as active users, conversion, GMV, revenue, repeat usage, redemption, failed transactions, campaign performance, and customer value.

Drive the development of curated data marts and reporting layers for internal teams, leadership, clients, and future AI / personalization use cases.

Product Performance & Business Outcomes

Own key performance metrics for MyStacc, including user engagement, click-through rates, offer interaction, customer activation, repeat usage, conversion, and client adoption.

Use data to identify funnel drop-offs, low-performing modules, campaign gaps, personalization opportunities, and platform improvement areas.

Collaborate with business, marketing, operations, and client success teams to improve customer outcomes and commercial performance.

Establish structured mechanisms for measuring feature impact after launch.

Cross-Functional Collaboration

Work closely with engineering, data engineering, analytics, design, marketing, operations, client success, and business teams to deliver product outcomes.

Translate business and client requirements into clear product specifications, user stories, data requirements, dashboards, and acceptance criteria.

Partner with engineering teams to prioritize platform scalability, data quality, system reliability, and implementation feasibility.

Act as the central product owner for MyStacc and data-layer initiatives across internal and client-facing stakeholders.

Client Reporting & Platform Intelligence

Define client-facing reporting and analytics capabilities for banks and enterprise customers.

Build frameworks for client dashboards, campaign reports, loyalty performance reports, customer engagement views, and commerce performance analytics.

Ensure that reporting is reliable, consistent, easy to interpret, and aligned with client business objectives.

Support business and client teams with insight-led recommendations based on platform data.

Data-Driven Product Management & Experimentation





Use quantitative and qualitative insights to prioritize features and roadmap decisions.

Establish frameworks for A/B testing, cohort analysis, funnel analysis, customer segmentation, and product experimentation.

Work with analytics teams to create actionable insights rather than only static reports.

Continuously measure the impact of product changes on customer engagement, conversion, retention, and business performance.

Market, Technology & Competitor Understanding

Stay updated on trends in customer engagement platforms, loyalty technology, personalization, customer data platforms, analytics, AI-led recommendations, and digital commerce.

Benchmark relevant platforms and identify opportunities for differentiation.

Recommend new capabilities that can strengthen MyStacc as a strategic platform for banks, loyalty programs, and enterprise clients.

Skills & Competencies:

Data Platform Product Management: Experience working with data platforms, analytics platforms, BI systems, data warehouses, or customer data platforms.

Modern Data Stack Exposure: Practical understanding of BigQuery or similar platforms such as Snowflake, Databricks, Redshift, Superset, Looker, Power BI, Tableau, dbt, or Airflow.

Product Management: Ability to own roadmaps, define requirements, prioritize features, and drive execution from discovery to launch.

Analytics Orientation: Strong comfort with metrics, dashboards, funnel analysis, cohort analysis, segmentation, and data-driven decision-making.

Personalization: Exposure to customer segmentation, recommendation systems, offer targeting, campaign intelligence, or next-best-action journeys.

AI-First Mindset: Hands-on use of AI tools for prototyping, research, analysis, workflow automation, and product experimentation.

Technical Comfort: Ability to work with engineering and data teams on APIs, event tracking, data flows, data quality, and implementation trade-offs.

Stakeholder Management: Strong ability to align business, client, product, data, and technology teams.

Experience & Background:

At least 8–10 years of overall experience, with significant experience in product management for digital platforms, data platforms, analytics products, or enterprise SaaS products.

Minimum 4–5 years of experience working on data-heavy products, analytics platforms, BI platforms, customer intelligence platforms, or personalization products.

Practical exposure to BigQuery or similar modern data warehouse platforms is strongly preferred.

Experience with AI-led prototyping, LLM tools, conversational analytics, recommendation use cases, or AI-assisted product development will be a strong advantage.

Experience in loyalty, banking, fintech, commerce, travel, or rewards is useful but not mandatory.

Bachelor’s degree in engineering, computer science, data science, statistics, economics, business, or a related field. MBA or analytics-related master’s degree is preferred but not mandatory.

Additional Details: -

This is a full time position. Days and hours of work are Monday to Friday for nine hours. Evening and weekend work may be required as job duties demand.

Will be required to work from home but involve client and official meeting in person

Location: Delhi NCR

CTC – 30-35L

📌 Sr. Product Manager (Delhi)
🏢 Customer Capital
📍 Delhi