Lead Digital Platforms and Consumer AISenior Lead Digital Platforms and Consumer AI

Pune - India

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Purpose	Bajaj Finservs Digital Platform consolidates all products and services into a single advanced digital ecosystem. The vision is to build a highly efficient intelligent Consumer AI platform that delivers seamless personalized and scalable access to all BFL offerings. As the Consumer AI platform Product Manager you will lead the PMO and cross-functional delivery teams to design build and scale AI-enabled B2B products on a consumer-facing digital platform. You will collaborate closely with Business Centers of Excellence (COEs) Service teams Operations Marketing and IT to ensure end-to-end product strategy execution and delivery. Key Responsibilities: Lead the team responsible for conceptualizing building and delivering B2B products on a consumer AI-driven digital platform ensuring business scalability and measurable outcomes. Drive the integration of AI/ML capabilities (such as personalization recommendations intelligent workflows automation and insights) to enhance customer experience operational efficiency and business decision-making. Design app and web journeys using a minimal-click low-friction framework leveraging AI to reduce customer effort and improve engagement. Own and coordinate the creation of user stories AI use cases and functional documentation in collaboration with business units and stakeholders. Refine and prioritize requirements to translate business needs into scalable AI-powered digital solutions. Partner with the Marketing and Design teams to deliver an intuitive data-driven and engaging UI/UX informed by user behavior and AI insights. Work closely with IT and engineering teams to ensure robust secure and efficient technology implementation including AI model integration and platform performance.
Duties and Responsibilities	Lead the team responsible for conceptualizing building and delivering B2B products on a consumer AI-driven digital platform ensuring business scalability and measurable outcomes. Drive the integration of AI/ML capabilities (such as personalization recommendations intelligent workflows automation and insights) to enhance customer experience operational efficiency and business decision-making. Design app and web journeys using a minimal-click low-friction framework leveraging AI to reduce customer effort and improve engagement. Own and coordinate the creation of user stories AI use cases and functional documentation in collaboration with business units and stakeholders. Refine and prioritize requirements to translate business needs into scalable AI-powered digital solutions. Partner with the Marketing and Design teams to deliver an intuitive data-driven and engaging UI/UX informed by user behavior and AI insights. Work closely with IT and engineering teams to ensure robust secure and efficient technology implementation including AI model integration and platform performance. Oversee end-to-end delivery ensuring timely execution stakeholder alignment and high-quality outcomes across multiple product streams.
Key Decisions / Dimensions	AI use-case prioritization decisions: determining which AI capabilities (personalization recommendations automation risk intelligence insights) deliver maximum business and customer value. Product roadmap and release prioritization decisions across B2B and B2C initiatives balancing speed impact risk and dependencies. Platform architecture and integration approach decisions in partnership with IT including AI model deployment data pipelines and system scalability. Build vs. buy decisions for AI tools platforms and third-party integrations. User experience and journey design decisions including minimal-click flows personalization logic and AI-driven engagement models. Data strategy decisions including data sources governance quality standards and usage for AI and analytics. Delivery model decisions including agile frameworks sprint cadences and release governance. Resource allocation decisions across teams vendors and initiatives to ensure optimal delivery outcomes. Risk compliance and security trade-off decisions related to AI usage customer data and platform functionality. KPIs and success-metric decisions to measure platform performance AI impact and business outcomes. Stakeholder dependency and escalation decisions to resolve conflicts and unblock delivery. Continuous improvement and innovation decisions driven by customer insights platform analytics and emerging AI capabilities.
Major Challenges	Driving AI adoption at scale while balancing regulatory data privacy security and risk requirements inherent to financial services. Aligning multiple stakeholders (Business COEs Sales Operations Marketing IT Risk Compliance) with competing priorities and timelines. Translating complex business needs into AI-ready product solutions including defining clear use cases data requirements and measurable outcomes. Integrating legacy systems with modern AI-driven platforms without compromising performance stability or customer experience. Ensuring high-quality data availability and governance to enable effective AI/ML models and personalization capabilities. Managing end-to-end delivery across multiple product streams vendors and internal teams while maintaining speed and quality. Balancing B2B and B2C requirements on a single consumer platform ensuring both business scalability and seamless user experience. Driving minimal-click intuitive journeys across a diverse product portfolio without oversimplifying complex financial workflows. Demonstrating tangible ROI from AI initiatives including adoption efficiency gains and revenue impact. Managing change and upskilling teams to adopt AI-first ways of working agile delivery and data-driven decision-making. Maintaining platform reliability and security while continuously releasing new features and AI capabilities. Keeping pace with rapid AI evolution while ensuring solutions are practical explainable and sustainable.
Required Qualifications and Experience	Professional Experience 6years of total experience in digital product management platform delivery or technology. Practical knowledge on product development or AI-enabled digital solutions. Demonstrated experience in building and delivering digital products at scale. Proven track record of leading cross-functional teams including PMO engineering design and business stakeholders. Exposure to financial services or fintech platforms is highly desirable. Technical & Product Skills Foundational knowledge of digital platform architecture APIs and cloud-based systems. Understanding of AI/ML concepts data pipelines and model integration in production environments. Ability to translate business requirements into product features and AI use cases. Delivery & Program Management Skills Experience in agile scrum or hybrid delivery frameworks. Ability to manage multiple initiatives stakeholders and dependencies simultaneously. Basic proficiency in budget planning cost optimization and ROI measurement for product initiatives. Leadership & Stakeholder Skills Capable of leading mentoring and coordinating high-performing teams. Strong communication collaboration and stakeholder management skills. Ability to make informed decisions balancing business goals technology feasibility and compliance requirements. Risk & Compliance Awareness Basic understanding of financial regulations data privacy and security requirements relevant to digital platforms.

Required Experience:

Senior IC

Job PurposeBajaj Finservs Digital Platform consolidates all products and services into a single advanced digital ecosystem. The vision is to build a highly efficient intelligent Consumer AI platform that delivers seamless personalized and scalable access to all BFL offerings.As the Consumer AI platf...

Job Purpose	Bajaj Finservs Digital Platform consolidates all products and services into a single advanced digital ecosystem. The vision is to build a highly efficient intelligent Consumer AI platform that delivers seamless personalized and scalable access to all BFL offerings. As the Consumer AI platform Product Manager you will lead the PMO and cross-functional delivery teams to design build and scale AI-enabled B2B products on a consumer-facing digital platform. You will collaborate closely with Business Centers of Excellence (COEs) Service teams Operations Marketing and IT to ensure end-to-end product strategy execution and delivery. Key Responsibilities: Lead the team responsible for conceptualizing building and delivering B2B products on a consumer AI-driven digital platform ensuring business scalability and measurable outcomes. Drive the integration of AI/ML capabilities (such as personalization recommendations intelligent workflows automation and insights) to enhance customer experience operational efficiency and business decision-making. Design app and web journeys using a minimal-click low-friction framework leveraging AI to reduce customer effort and improve engagement. Own and coordinate the creation of user stories AI use cases and functional documentation in collaboration with business units and stakeholders. Refine and prioritize requirements to translate business needs into scalable AI-powered digital solutions. Partner with the Marketing and Design teams to deliver an intuitive data-driven and engaging UI/UX informed by user behavior and AI insights. Work closely with IT and engineering teams to ensure robust secure and efficient technology implementation including AI model integration and platform performance.
Duties and Responsibilities	Lead the team responsible for conceptualizing building and delivering B2B products on a consumer AI-driven digital platform ensuring business scalability and measurable outcomes. Drive the integration of AI/ML capabilities (such as personalization recommendations intelligent workflows automation and insights) to enhance customer experience operational efficiency and business decision-making. Design app and web journeys using a minimal-click low-friction framework leveraging AI to reduce customer effort and improve engagement. Own and coordinate the creation of user stories AI use cases and functional documentation in collaboration with business units and stakeholders. Refine and prioritize requirements to translate business needs into scalable AI-powered digital solutions. Partner with the Marketing and Design teams to deliver an intuitive data-driven and engaging UI/UX informed by user behavior and AI insights. Work closely with IT and engineering teams to ensure robust secure and efficient technology implementation including AI model integration and platform performance. Oversee end-to-end delivery ensuring timely execution stakeholder alignment and high-quality outcomes across multiple product streams.
Key Decisions / Dimensions	AI use-case prioritization decisions: determining which AI capabilities (personalization recommendations automation risk intelligence insights) deliver maximum business and customer value. Product roadmap and release prioritization decisions across B2B and B2C initiatives balancing speed impact risk and dependencies. Platform architecture and integration approach decisions in partnership with IT including AI model deployment data pipelines and system scalability. Build vs. buy decisions for AI tools platforms and third-party integrations. User experience and journey design decisions including minimal-click flows personalization logic and AI-driven engagement models. Data strategy decisions including data sources governance quality standards and usage for AI and analytics. Delivery model decisions including agile frameworks sprint cadences and release governance. Resource allocation decisions across teams vendors and initiatives to ensure optimal delivery outcomes. Risk compliance and security trade-off decisions related to AI usage customer data and platform functionality. KPIs and success-metric decisions to measure platform performance AI impact and business outcomes. Stakeholder dependency and escalation decisions to resolve conflicts and unblock delivery. Continuous improvement and innovation decisions driven by customer insights platform analytics and emerging AI capabilities.
Major Challenges	Driving AI adoption at scale while balancing regulatory data privacy security and risk requirements inherent to financial services. Aligning multiple stakeholders (Business COEs Sales Operations Marketing IT Risk Compliance) with competing priorities and timelines. Translating complex business needs into AI-ready product solutions including defining clear use cases data requirements and measurable outcomes. Integrating legacy systems with modern AI-driven platforms without compromising performance stability or customer experience. Ensuring high-quality data availability and governance to enable effective AI/ML models and personalization capabilities. Managing end-to-end delivery across multiple product streams vendors and internal teams while maintaining speed and quality. Balancing B2B and B2C requirements on a single consumer platform ensuring both business scalability and seamless user experience. Driving minimal-click intuitive journeys across a diverse product portfolio without oversimplifying complex financial workflows. Demonstrating tangible ROI from AI initiatives including adoption efficiency gains and revenue impact. Managing change and upskilling teams to adopt AI-first ways of working agile delivery and data-driven decision-making. Maintaining platform reliability and security while continuously releasing new features and AI capabilities. Keeping pace with rapid AI evolution while ensuring solutions are practical explainable and sustainable.
Required Qualifications and Experience	Professional Experience 6years of total experience in digital product management platform delivery or technology. Practical knowledge on product development or AI-enabled digital solutions. Demonstrated experience in building and delivering digital products at scale. Proven track record of leading cross-functional teams including PMO engineering design and business stakeholders. Exposure to financial services or fintech platforms is highly desirable. Technical & Product Skills Foundational knowledge of digital platform architecture APIs and cloud-based systems. Understanding of AI/ML concepts data pipelines and model integration in production environments. Ability to translate business requirements into product features and AI use cases. Delivery & Program Management Skills Experience in agile scrum or hybrid delivery frameworks. Ability to manage multiple initiatives stakeholders and dependencies simultaneously. Basic proficiency in budget planning cost optimization and ROI measurement for product initiatives. Leadership & Stakeholder Skills Capable of leading mentoring and coordinating high-performing teams. Strong communication collaboration and stakeholder management skills. Ability to make informed decisions balancing business goals technology feasibility and compliance requirements. Risk & Compliance Awareness Basic understanding of financial regulations data privacy and security requirements relevant to digital platforms.

Required Experience:

Senior IC

Key Skills

Civil
Bidding
GIS
Capital Market
Cement
Agricultural

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About Company

Bajaj Finance Limited

Bajaj Finserv is India’s most diversified non-banking finance company. Visit the website to learn about our products. Get instant approval on loans, shop on EMIs, make an investment, get insurance and pay your bills.

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