{"id":3243105,"url":"https://alion.io/job/exl-collections-strategy-engagement-manager","title":"Collections Strategy - Engagement Manager","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":269,"ghost_share":0,"stale_share":0.996,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-17T15:43:16Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-29T08:56:47Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"As the Engagement Manager, Collections Strategy, you will lead the design, testing, and optimization of end-to-end collections and recoveries strategies across early and late buckets. You’ll combine analytics, experimentation, and partnerships with operations and vendors to lift right-party contact (RPC), increase recovery rates, reduce roll-forward, and lower unit costs-while shaping a digital-first engagement model. You will be responsible for growing strategic client relationships, leading consulting engagements, managing high-performing teams, driving thought leadership, and delivering measurable business impact.\nWork Location: San Francisco Bay Area, CA\nWork Mode: Hybrid (2-3 days/week in office)\nSalary Range: $150K/Yr - $170K/Yr Base + Annual Bonus\nThe 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\nFor more information on benefits and what we offer please visit us at US Careers and Benefits\n Serve as the main client contact, engaging with senior stakeholders.\nDesign and optimize collections strategies across channels and segments.\nTrack key metrics (RPC, recovery rates, roll rates) and recommend improvements.\nOversee policy changes, test new approaches, and monitor market trends.\nPartner with operations and vendors to execute strategic initiatives and drive results.\nLead analytical and consulting workstreams while managing onshore and offshore teams.\n 7+ years of experience in Collections strategy, Analytics Consulting, and Financial Services along with solution design and client management \nSQL, Python\nPolicy optimization and experience with Banks / FinTechs\nUnsecured lending expertise (Acquisitions/Underwriting)\nOwn delivery, client relationships, and business growth\nDemonstrable leadership ability, superior problem solving and people management skills\nExcellent communication, presentation and story building skills in a consulting setup \nMaster's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; 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