AI-Driven Software Strategy Intern (Go-To-Market)

International Business Machines Corporation

Cambridge (MA)

Presencial

USD 34.000 - 44.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

IBM in Cambridge, MA is seeking a Software and Go-To-Market Strategy Intern to support development of global strategies for IBM's Hybrid Cloud, Data, Automation, AI and Go-To-Market initiatives. You will leverage AI, data analytics, benchmarking and research to move strategies into execution with immediate impact.

Responsibilities include leading data analysis, quantitative modeling, market analysis, interviews and root-cause identification, and formulating recommendations for senior leaders.

Formación

  • Data and analytics methods used to yield strategic insight.
  • Solid background in AI and data science approaches.
  • Ability to decompose unstructured challenges with frameworks.
  • Strong ownership and a results-driven mindset.

Responsabilidades

  • Lead data analysis, quantitative modeling, market analysis and root cause identification.
  • Formulate decision-ready recommendations for senior business leaders.
  • Support strategic discussions with senior software executives.
  • Structure and support change initiatives to deliver targeted business outcomes.
  • Support teammates as needed to deliver commitments to clients.
  • Manage the planning, control, and administration of assigned projects.

Conocimientos

Data analytics
AI/data science
Structured thinking
Fast-paced work
Ownership
Communication
Teamwork
Innovation
Growth mindset

Herramientas

SQL
Excel

Descripción del empleo

IBM in Cambridge, MA is seeking a Software and Go-To-Market Strategy Intern to support development of global strategies for IBM's Hybrid Cloud, Data, Automation, AI and Go-To-Market initiatives. You will leverage AI, data analytics, benchmarking and research to move strategies into execution with immediate impact.

Responsibilities include leading data analysis, quantitative modeling, market analysis, interviews and root-cause identification, and formulating recommendations for senior leaders.

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