Key Responsibilities:

Product Strategy & Vision

- Own the product vision, strategy, and roadmap aligned with business objectives and market opportunities.
- Drive product discovery through customer engagement, market research, competitive intelligence, and data-driven insights.
- Identify emerging trends and opportunities in Financial Services, Lending, Analytics, and AI.
- Define success metrics and business outcomes for product initiatives.
- Influence executive stakeholders and leadership teams through strategic product recommendations.

Lending & Financial Services Product Leadership

- Understanding of lending and credit lifecycle solutions including customer onboarding, underwriting, credit decisioning, loan origination, servicing, collections, and portfolio management.
- Translate complex lending business processes into scalable product capabilities.
- Work closely with clients to understand business challenges and define innovative product solutions.
- Develop deep expertise in regulatory, risk, compliance, and operational requirements within lending ecosystems.

Enterprise & B2B Product Management

- Manage enterprise-grade products serving large financial institutions and business customers.
- Lead customer discovery sessions, executive workshops, and solution definition engagements.
- Balance strategic platform investments with customer-specific requirements.
- Drive prioritization decisions based on customer value, revenue impact, market opportunity, scalability, and technical feasibility.
- Partner with Sales, Delivery, Customer Success, and Consulting teams to support product adoption and growth.

AI Product Development

- Define and deliver AI-powered product capabilities leveraging Generative AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
- Identify high-value AI use cases that improve customer experience, operational efficiency, and business outcomes.
- Collaborate with Data Science and Engineering teams to build, evaluate, and deploy AI solutions.
- Define AI product requirements, evaluation frameworks, guardrails, and success metrics.
- Stay current with emerging AI technologies and translate them into practical product innovations.

AI-Enabled Product Management

- Leverage AI tools to accelerate product discovery, market research, customer analysis,



and competitive intelligence.
- Utilize AI to create and enhance Product Requirement Documents (PRDs), user stories, acceptance criteria, process flows, and product specifications.
- Apply AI tools to support solution design, wireframing, prototyping, backlog refinement, prioritization, and roadmap planning.
- Drive adoption of AI-enabled product management practices across the organization.

Product Execution & Delivery

- Own and prioritize the product backlog to maximize business value.
- Lead cross-functional teams through product planning, development, release, and adoption.
- Define epics, requirements, and user journeys with clear acceptance criteria.
- Ensure successful delivery of product initiatives through Agile product management practices.
- Track product performance and continuously optimize based on customer feedback and business metrics.

Skills & Qualifications

Essential Requirements (Must Have)

Product Management Experience

- 5-10 years of overall professional experience.
- Minimum 4+ years in Product Management, Product Owner, or Product Strategy roles.
- Demonstrated ownership of product roadmap, prioritization, and delivery.
- Experience creating PRDs, business requirements, user stories, and acceptance criteria.
- Proven track record of delivering software products from concept to production.

B2B Product Management

- Minimum 3+ years managing enterprise or B2B software products.
- Experience working with complex business workflows and multiple stakeholder groups.
- Experience engaging directly with enterprise customers and business users.
- Strong understanding of product lifecycle management and product strategy.

Financial Services / Lending Domain

- Minimum 3+ years in Financial Services, Banking, FinTech, or Lending.
- Understanding of lending processes such as loan origination, underwriting, credit decisioning, servicing, collections, or risk management.




- Ability to translate business requirements into scalable product capabilities.

Stakeholder & Client Management

- Experience conducting discovery workshops and requirements sessions.
- Experience working with senior business stakeholders and enterprise clients.
- Robust communication, presentation, and influencing skills.

Product Execution & Delivery

- Strong Agile product management experience.
- Experience prioritizing product backlogs and leading cross-functional teams.
- Proven ability to drive outcomes in collaboration with Engineering, Design, and Business teams.

Additional Advantages (Good to Have)

AI Product Experience

- Experience building or launching AI-enabled products.
- Exposure to Generative AI, AI Agents, Machine Learning, Predictive Analytics, or Intelligent Automation.
- Experience defining AI use cases, requirements, evaluation metrics, and business outcomes.

AI-Enabled Product Management

- Use of AI tools for product research, competitive analysis, customer insights, and discovery.
- Experience leveraging AI to create PRDs, user stories, acceptance criteria, and other product documentation.
- Experience using AI tools for wireframing, prototyping, prioritization, or roadmap planning.Analytics & Data Products
- Experience working with Analytics, BI, Data Science, or Decision Intelligence products.
- Understanding of data-driven product development and measurement frameworks.

Consulting Experience

- Prior experience in consulting, business analysis, or solution consulting roles.
- Experience facilitating executive workshops and strategic discussions.

Experience

- 5 - 10 years of overall professional experience.
- Minimum 5+ years in Product Management, Product Ownership, or Product Strategy roles.
- Proven experience delivering enterprise B2B software products at scale.
- Strong experience in Lending, Banking, FinTech, or Financial Services products.
- Experience working with enterprise clients and senior business stakeholders.
- Demonstrated experience delivering AI, Analytics, or Data Science-driven products.
- Experience working across multicultural and geographically distributed teams.

Education

- Bachelors degree in computer science, Engineering, Information Systems, or related discipline.
- MBA or Master's degree preferred

📌 Product Manager/Senior Product Manager (Gurugram)
🏢 Digilytics
📍 Gurugram