Full-Time
GenAI Product Lead
Emap
Posted on 7/15/2026
Experian
1-10 employees
Venture capital arm funding data startups
No salary listed
Mumbai, Maharashtra, India
Hybrid
Hybrid role with on-site days in Mumbai; exact schedule not specified.
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- 15+ years of experience as a Senior Product Manager / Principal PM / Product Leader with experience owning business outcomes or product portfolio performance
- Strong grounding in product discovery, productization, and outcome‑based prioritization
- Deep understanding of Generative AI concepts, patterns, and limitations
- Ability to translate AI capabilities into commercially compelling, customer-ready offering
- Experience communicating complex technical concepts to a variety of audiences with senior stakeholders and technical teams
- Proven track record in one or more of the following: product monetization, pricing & packaging, go-to-market strategy, revenue ownership or business case delivery
- Experience operating in regulated or high‑trust environments is highly advantageous
- Own the regional GenAI product strategy and roadmap for EMAP across Ascend and Fraud
- Own the commercial performance of the GenAI portfolio, including revenue growth, margins, and business case delivery
- Translate GenAI capabilities into clear customer value propositions and monetizable offerings
- Lead discovery of high‑impact GenAI opportunities across customer journeys and internal product workflows
- Define use cases with clear value hypotheses, success measures, and risk considerations
- Drive productization of GenAI capabilities into market-ready, revenue-generating products
- Ensure solutions are designed for repeatability, supportability, and regional scale, rather than bespoke delivery
- Ensure clear linkage between product features and monetization models
- Work with markets and regional functions to scale GenAI use cases across EMAP, with primary focus on customer‑facing innovation and considering productivity enablement where it supports product outcomes
- Define how GenAI capabilities will be adopted, measured, and evolved over time across markets
- Drive adoption in close partnership with Sales and GTM teams, supporting strategic deals and client engagement
- Track outcomes including adoption, productivity gains, customer impact, revenue impact and product differentiation.
- Partner with Engineering and Data Science to embed GenAI capabilities into existing Ascend and Fraud products, rather than standalone tools
- Ensure GenAI features are explainable and auditable by design; aligned to Experian's product operating model and naturally integrated into customer and analyst workflows
- Act as a senior product partner across Engineering, Architecture, Data Science, Client Delivery, Market Product, and regional GTM teams
- Lead collaboration with GTM and Sales to define value propositions, pricing inputs, and commercial messaging
- Actively support deal shaping, client conversations, and strategic sales opportunities where GenAI capabilities are a differentiator
- Commercial impact assessment
- Influence prioritization and solution design through strong product judgement, evidence‑based trade‑offs, and clear articulation of customer and commercial value
- Work closely with regional and global AI technology teams to ensure GenAI governance, controls, and guardrails are embedded into product design and delivery
- Ensure GenAI product capabilities align with product development and risk frameworks
- Co-create GenAI capabilities with selected clients to validate value, usability, and adoption.
- Partner with global technology and AI platform teams to leverage external GenAI providers where appropriate, in line with Experian standards and governance
Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian’s data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian’s platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian’s scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian’s ecosystem and influence across regions.
Company Size
1-10
Company Stage
N/A
Total Funding
$82M
Headquarters
Costa Mesa, California
Founded
1995
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Simplify's Take
What believers are saying
- FY26 organic revenue grew 8%, and benchmark operating profit rose 15%.
- Experian launched Snapchat AI Sponsored Snaps on April 28, 2026.
- VantageScore 4.0 through Experian Connect expands rental screening with Zillow adoption.
What critics are saying
- CFPB’s January 7, 2025 lawsuit over dispute handling continues through 2026.
- Generative AI helps banks build internal risk tools, threatening bureau disintermediation.
- Revenue still depends on lending cycles; cautious banks slowed credit-card issuance in FY26.
What makes Experian unique
- Experian’s global bureau scale spans North America, Brazil, and the UK.
- Ascend combines proprietary credit data, identity, fraud, and financial-crime workflows.
- KYC360 acquisition, closed July 17, 2026, deepens compliance and onboarding capabilities.
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Benefits
Remote Work Options
Professional Development Budget
Company News
Experian reported a 26% increase in statutory pre-tax profit to $1.95 billion and announced a $1 billion share buyback programme, yet its stock plunged 7% as investors focused on conservative growth forecasts and AI concerns. The data analytics company posted full-year revenue of $8.45 billion with 15% growth in benchmark operating profit. However, its fiscal 2027 organic revenue growth guidance of 6-8% fell below the 8% analyst consensus. CEO Brian Cassin cited economic volatility and cautious banking clients slowing credit card issuance. The sell-off reflects investor anxiety that generative AI could make traditional credit checking obsolete. Markets interpreted the massive buyback as defensive rather than transformational, questioning whether Experian can compete as banks develop internal AI tools for risk analysis.
Experian has launched an AI chatbot on Snapchat to provide financial advice, targeting younger consumers on a platform they already use. The credit bureau aims to deliver trusted financial information to help build financial literacy amongst users who might not otherwise seek professional guidance. Rob Burnette, CEO of Outlook Financial Center, views AI chatbots as useful tools for answering broad financial questions, such as improving credit scores. However, he cautions that AI cannot address individual circumstances without specific personal data, which users should avoid sharing online. Burnette recommends verifying information sources when using AI chatbots and consulting human advisers for personalised financial decisions. Whilst not threatened by AI, he emphasises its limitations in handling the nuanced, context-specific nature of personal finance.
Xactus has integrated the Experian Verify Preview Report into its Xactus360 Intelligent Verification Platform, providing lenders with upfront visibility into borrower employment data at no additional cost. The tool allows lenders to see which employment records are available for instant verification before ordering a full verification of employment and income report. Previously, lenders had to order a full VOE/I report to determine if usable data existed. Xactus is the first to embed this capability directly within the credit report workflow, eliminating the need for separate verification relationships or additional steps. The enhancement is automatically included for Xactus clients who order credit reports through the platform and use Experian Verify, requiring no new integrations or workflow changes.
Palenca, a Mexican income verification platform for financial institutions, has raised $4 million in a Series A round led by Experian, with participation from Foundation Capital, Gilgamesh Ventures and Dhow Ventures. The company addresses a critical gap in Mexico's financial inclusion: the lack of reliable income data prevents credit expansion to new segments. Without verifiable income information, financial institutions must either limit their reach or assume greater risk. Palenca's platform validates income from various sources, including informal employment, to integrate them into credit and risk decisions. The funding will develop new data products, expand income source validation and strengthen predictive models using artificial intelligence. The company processed nearly 5 million verifications in 2025 and projects reaching 20 million this year, enabling banks to extend credit to previously excluded populations.
Experian has integrated its AI-powered financial education tools into Snapchat's new AI Sponsored Snaps advertising format, allowing users to ask money questions directly within the app's chat experience. The integration aims to transform everyday messaging into an interactive learning and brand engagement channel for younger users. Snap's investment case hinges on whether its combination of augmented reality, AI and Gen Z engagement can generate profitable revenue. The company reported over 110 million US monthly users and 950 billion chats in Q1 2026. The Experian partnership demonstrates how Snap is testing conversational AI to deepen engagement and improve advertising performance. Snap's narrative projects $7.9 billion revenue and $709.3 million earnings by 2029, requiring 10.2% yearly revenue growth. Some analysts forecast $8.5 billion revenue by 2029, though this depends on AR and AI investments delivering stronger returns than currently expected.