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Project Manager - Funnel Analytics

EXL
Posted 5 months ago, valid for 13 days
Salary

$120,000 - $140,000 per year

Contract type

Full Time

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Sonic Summary

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  • The Project Manager – Funnel Analytics & Optimization position is located in San Diego, CA and operates in a hybrid work mode requiring a minimum of three days per week in the office.
  • The role offers a base pay range of $120K to $140K per year.
  • The successful candidate will manage end-to-end funnel analytics for a small-business lending portfolio, focusing on acquisition, application, underwriting, and funding.
  • Key responsibilities include identifying friction points, designing measurement frameworks, and conducting test-and-learn experiments to enhance conversion and customer outcomes.
  • Collaboration with various stakeholders across Risk, Operations, Product, Engineering, and AI teams is essential to implement scalable process changes and solutions.

Work Location: San Francisco Bay Area
Work Mode: Hybrid (Minimum 3 Days/Week in office)
Base Pay Range: $130K/Yr - $160K/Yr

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process

For more information on benefits and what we offer please visit us at US Careers and Benefits

As the Project Manager – Funnel Analytics & Optimization, you will own end-to-end funnel analytics across acquisition, application, underwriting, and funding for a small-business lending portfolio. You will identify friction points and operational bottlenecks, design measurement frameworks, and run test-and-learn experiments to improve conversion, cycle time, and customer outcomes—while maintaining strong risk discipline. You will partner with client and EXL stakeholders across Risk, Operations, Product, Engineering, and AI teams to translate insights into scalable process changes, automation, and AI-agent solutions.




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