Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия сочетает широкую управленческую ответственность, современную аналитику и понятные бизнес-задачи, но без зарплатного диапазона сложно оценить компенсацию относительно рынка.
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Широкая зона ответственностиЗарплата не указанаСовременный стекФокус на AIЗрелый продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Director, Value Creation Insights (AI Analytics): Leading a 30-person analytics organization that builds revenue forecasting, predictive scoring, commercial data infrastructure, and AI-enabled analytics for a SaaS business with an accent on GTM insights, data governance, and executive decision support. Focus on designing governed conversational analytics, embedding AI agents into Finance and Sales workflows, and maintaining reliable forecasting and scoring models across a globally distributed team.
Location: United States
Company
hirify.global provides a cloud compliance platform connecting tax and technology, processing customer API calls and tax returns at large scale.
What you will do
Lead the analytics and insights function translating commercial data into revenue growth, go-to-market efficiency, and strategic decisions.
Own revenue forecasting, demand-generation reporting, variance analysis, and reconciliation with FP&A.
Lead prospect and customer scoring, propensity-to-buy models, ICP scoring, and customer health metrics.
Oversee commercial data infrastructure, including Fivetran ingestion, dbt models, Snowflake schemas, data access, and third-party data integrations.
Drive the transition from dashboard-based BI to Omni Analytics and develop governed conversational analytics and AI agents for GTM, Finance, and Sales workflows.
Manage and develop a distributed team of approximately 30 analysts, analytics engineers, and other analytics specialists while partnering with senior executives.
Requirements
10+ years of experience in analytics, data science, or data engineering, including at least 4 years in people management.
Deep expertise in Snowflake, SQL, dbt, and modern data-stack tooling, with experience using BI or semantic-layer platforms such as Omni, Power BI, or Hex.
Hands-on experience with LLM-powered or conversational analytics tools and AI agents built on governed data models.
Experience building and managing distributed onshore and offshore teams across time zones.
Strong knowledge of statistical modeling, predictive analytics, machine learning, SaaS metrics, revenue recognition, and GTM funnel mechanics.
Ability to influence senior stakeholders and translate technical analysis into executive-ready narratives.
Nice to have
Experience with Salesforce data, marketing automation platforms, and CRM analytics.
Culture & Benefits
AI is embedded in workflows, decision-making, and products.
Paid time off and paid parental leave.
Eligible employees may receive bonuses.
Benefits generally include private medical, life, and disability insurance, depending on location.
Employee resource groups and a stated commitment to diversity, equity, and inclusion.
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