We are seeking an experienced Product Lead - Fraud & Claims to lead the strategy, design, and delivery of innovative products for fraud detection, claims management, and intelligent financial services operations.

The ideal candidate will combine strong product management expertise with deep banking and financial services knowledge and experience in Artificial Intelligence (AI).

This role requires the ability to translate business objectives, operational challenges, and investigator expertise into scalable digital products, AI-enabled decision-support systems, and intelligent workflows.

You will collaborate with business leaders, fraud and claims operations, engineering, data science, architecture, risk, and compliance teams to improve operational efficiency, enhance decision-making, reduce fraud losses, and deliver measurable business outcomes.

Key Responsibilities:

1. Product Strategy & Vision:

- Define product vision, strategy, roadmaps, and priorities for Fraud and Claims solutions.

- Translate business objectives and operational challenges into scalable product capabilities.

- Identify opportunities for digital transformation, workflow optimization, intelligent automation, and AI adoption.

- Establish product success metrics aligned with business performance and customer outcomes.

2. Product Design & Development:

- Lead the end-to-end product lifecycle, from discovery and conceptualization to development, launch, and continuous improvement.

- Design end-to-end workflows for fraud detection, alert prioritization, investigation, claims assessment, and case resolution.

- Convert business processes and domain expertise into product specifications, functional workflows, and implementation-ready requirements.

- Prioritize product features based on business value, operational impact, technical feasibility, and risk.

3. AI & Intelligent Automation:

- Drive the development of AI-enabled products using Generative AI, LLM-powered applications, AI agents, and intelligent workflow automation.

- Identify use cases for AI-driven decision support, fraud investigation, claims assessment, and operational efficiency.

- Collaborate with engineering and data science teams to define AI solution requirements and validate product outcomes.

- Design appropriate human oversight, escalation mechanisms, explainability, and governance frameworks for AI-assisted decisions.

4. Stakeholder & Team Leadership:

- Work closely with banking, financial services, fraud operations, claims operations, engineering, data science, and architecture teams.

- Engage senior stakeholders to align product roadmaps with business priorities.

- Facilitate product discovery, design reviews, prioritization discussions, and implementation planning.

- Lead cross-functional teams through complex product delivery and resolve execution challenges.

5. Governance, Risk & Compliance:

- Ensure product solutions align with applicable financial services regulations, data privacy, information security, and enterprise governance requirements.

- Incorporate explainability, auditability, responsible AI, and human-in-the-loop controls into AI-enabled products.

- Partner with risk, compliance, legal, and security teams to address operational and model-related risks.

6. Product Performance & Continuous Improvement:

- Define and monitor KPIs for product adoption, investigator productivity, process efficiency, fraud loss reduction, and claims turnaround time.

- Use business insights, user feedback, and performance data to improve product capabilities.

- Establish reusable product frameworks and best practices for AI-enabled operational solutions.

Required Qualifications:

- 7+ years of experience in Product Management, Product Leadership, Business Transformation, Solution Design, or related technology roles.

- 7+ years of banking experience.

- 6+ years of experience in financial services.

- 4+ years of professional experience working with Artificial Intelligence (AI).

- Proven experience designing and delivering enterprise-scale products and complex business workflows.

- Strong understanding of product strategy, roadmap development, product lifecycle management, and cross-functional execution.

- Experience translating complex business objectives into scalable digital products and implementation-ready specifications.

- Strong stakeholder management, analytical, problem-solving, and decision-making skills.

- Ability to collaborate effectively with business, technology, data science, architecture, risk, and compliance teams.

AI & Technology Expertise:

- Strong understanding of Generative AI, Agentic AI, AI agents, and LLM-powered applications.

- Familiarity with intelligent workflow automation, AI orchestration, and AI-assisted decision-making.

- Understanding of machine learning concepts, deterministic business rules, and AI-driven decision frameworks.

- Knowledge of human-in-the-loop models, responsible AI, explainability, and AI governance.

- Familiarity with APIs, cloud platforms, microservices, and enterprise application architecture is preferred.

Domain Expertise:

- Strong experience in banking and financial services.

- Experience in fraud management, claims processing, insurance, payments, risk management, or financial services operations is highly preferred.

- Understanding of fraud detection, risk scoring, case investigation, claims assessment, and decision-support systems is an advantage.

- Experience delivering products in regulated enterprise environments is desirable.

Preferred Qualifications:

- Experience delivering AI/ML or GenAI-enabled enterprise products.

- Experience in BFSI product transformation, workflow automation, or intelligent decision-support platforms.

- Familiarity with Agile/Scrum methodologies and distributed engineering teams.

- Experience defining product KPIs and measuring business outcomes.

- Strong communication skills and the ability to influence senior business and technology stakeholders.