Senior Product Manager - Fraud and ID Agent
Experian is hiring a Senior Product Manager - Fraud and ID Agent in Hyderabad, India. Level rates it ; you can apply on Experian.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include LLM, AI agents and product management.
- Level classifies it as a senior role.
- Level lists 390 other open roles at Experian.
- The role was posted within the past week.
AI in this role
Lead product strategy and delivery for an AI-powered fraud and identity agent initiative combining statistical rules and LLM explanations.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few.
Check out Experian Life on social or explore our Careers Site (experian.com/careers) to understand why.
As Senior Product Manager, you will lead product strategy and delivery across the Fraud and ID Agent Initiative, from the current MVP through the roadmap toward a scalable, production-ready capability. You will connect client and analyst needs with fraud expertise, data science, engineering, platform, legal, compliance, and AI governance partners. You will own the product outcomes, priorities, and decisions that keep the program useful, safe, and deliverable.
What you will do
- Set product direction. Define the product vision, and measurable outcomes for fraud and identity capabilities, balancing the near-term pilot with a reusable longer-term product.
- Lead discovery with users and partners. Work with the Brazil pilot partner and fraud specialists to understand analyst workflows, emerging fraud patterns, data needs, and what makes a recommendation actionable and.
- Coordinate global delivery. Align the Brazil business and data team with India-based engineering, architecture and platform teams, and partner stakeholders. Establish clear ownership, resolve blockers, and maintain a operating cadence across teams.
- Guide responsible use of data and AI. Partner on data access, privacy, security, AI governance, model quality, explainability, auditability, and controls. The current design uses rules and statistical methods to detect patterns, then uses an LLM to explain findings and draft recommendations.
- Measure product performance. Define how the team will evaluate detection quality, time to analyst review, fraud outcomes, recommendation usefulness, analyst adoption, and operational impact. Establish validation plans before expanding beyond the pilot.
- Build the next-phase roadmap. Use evidence from the pilot to prioritize production readiness, broader data coverage, a purpose-built analyst experience, and future client or regional expansion.
- You will report to the Senior Director of Product Management
- You will have to WFO 2 days a week as its Hybrid working
- You are required to have 8+ years of product management experience, including ownership of complex, data-intensive products from discovery through launch and iteration.
- Experience in fraud, identity, payments, financial services, risk decisioning, or a closely related domain.
- Work closely with engineering and data science on data pipelines, model or rules-based systems, integrations, experimentation, and production constraints.
- Strong product judgment: you can turn an ambiguous problem into a focused roadmap, make trade-offs explicit, and connect delivery to customer and business outcomes.
- Experience leading cross-functional teams and influencing senior stakeholders across regions, functions, and organizational boundaries.
Preferred experience
- Building or scaling AI/ML-enabled products, especially human-reviewed decision support or agentic workflows.
- Working with sensitive customer data, privacy or compliance reviews, model governance, and audit requirements.
- Launching products with international teams, pilot partners, or multi-client platforms.
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
BenefitsExperian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Senior Product Manager - Fraud and ID Agent at Experian rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $179k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where ai governance was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, AI Governance, Fraud Detection, and Cross Functional Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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