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Director, Presales Data Science

132 300 - 207 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Presales Data Science (Credit Risk Analytics): Designing and presenting FICO Score solutions for consumer lending clients with an accent on translating analytics, model performance, and score usage into business value. Focus on leading technical discovery, shaping solution configurations, supporting pricing and commercial motions, and ensuring accurate handoff to post-sale execution.

Location: Work from Home, United States

Targeted base pay range: $132,300–$207,900 per year

Company

hirify.global is a global analytics software company providing scoring, fraud detection, lending, and decisioning solutions to businesses in more than 100 countries.

What you will do

  • Design presales solutions and explain the analytical details, features, and services of hirify.global Scores products.
  • Partner with Scores Sales Executives and Client Success Managers to understand client objectives, use cases, and decision criteria.
  • Configure and present hirify.global Score solutions aligned with client needs, regulatory requirements, and operational realities.
  • Lead technical discovery sessions, solution walkthroughs, and value-based discussions with executive and technical stakeholders.
  • Translate analytics, model performance, and score usage into clear business and ROI narratives.
  • Support new-logo, expansion, and renewal motions, including pricing input, proposals, RFx responses, and post-sale handoff.

Requirements

  • Subject-matter expertise in US credit risk, consumer lending, retail banking, and analytics.
  • Strong experience in presales, solutions consulting, and analytics.
  • Ability to translate complex technical concepts into business value for executive and technical audiences.
  • Experience with client discovery, analytical use cases, analytical ecosystem mapping, and operationalizing analytics.
  • Experience in consumer lending, credit risk, or regulated financial services environments.
  • Strong collaboration skills across Sales, Client Success, Analytics, and Product Management.

Culture & Benefits

  • Inclusive, people-first environment built around ownership, customer focus, and respect.
  • Professional development through learning experiences and opportunities to leverage individual strengths.
  • Competitive compensation, benefits, and rewards programs.
  • Work-life balance, employee resource groups, and social events.

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