Converse AI Enablement Graduate Internship

Nike•Boston, MA

15h

About The Position

Converse is hiring an MBA candidate for a paid AI Enablement Graduate Internship on its Enterprise Acceleration & Operations team. The team stewards the Office of the CEO, turning enterprise priorities into coordinated action across the Senior Leadership Team and key functions. The intern will work closely with the Sr. Director, Enterprise Acceleration & Operations, the Principal, AI Enablement, and leaders across Converse. The intern will own a defined, high-impact AI enablement project from problem framing through recommendation, activation, and measurement. The work will explore practical ways to use AI across the enterprise, including helping leaders make decisions, manage the business, and improve team effectiveness. Project areas may include redesigning enterprise workflows with generative AI, automation, or agents; creating AI-enabled reporting and decision-support tools; developing role-based AI activation models; identifying and measuring capacity gains; and building a repeatable process for moving AI use cases from idea to adoption and measurable value. This opportunity is intended for an MBA candidate with consulting or equivalent experience who can independently structure and deliver work in an ambiguous, cross-functional environment. Deep technical expertise is not required, but AI fluency, curiosity, and the ability to translate emerging technology into practical business change are essential. A resume and cover letter must be submitted together as a single combined PDF. The internship is paid and includes relocation assistance.

Requirements

Be enrolled in an MBA program with an expected graduation date of December 2027 or Spring 2028.
Experience in management consulting, strategy consulting, corporate strategy, enterprise transformation, organizational effectiveness, digital transformation, or an equivalent role.
Demonstrated ability to structure ambiguous problems, develop a project approach, align stakeholders on scope, and independently drive work to completion.
Understanding of generative AI, agentic AI, automation, and AI-enabled productivity tools, including practical limitations and responsible-use considerations.
Demonstrated problem structuring, hypothesis development, work planning, and strategic problem-solving skills.
Ability to develop a clear project brief defining the business problem, intended outcomes, scope, milestones, stakeholders, decision points, risks, and measures of success.
Ability to build alignment, manage stakeholders, facilitate working sessions, and advance cross-functional work without direct authority.
Strong quantitative and qualitative analytical skills, including the ability to synthesize business, operational, usage, and stakeholder evidence.
Excellent written, verbal, and executive communication skills, including the ability to explain complex AI topics in clear business language and present to senior executives.
Ability to navigate ambiguity, exercise sound judgment, and move independently from direction to delivery.
Submit a resume and cover letter as a single combined PDF file.

Nice To Haves

Three to five years of pre-MBA professional experience is strongly preferred.

Responsibilities

Own a priority AI enablement project from start to finish, from problem framing through recommendation, activation, and measurement.
Structure the project, develop and align stakeholders on the project brief, conduct analysis, develop recommendations, and move the work into execution.
Explore how AI can help leaders make decisions, manage the business, and increase team effectiveness.
Assess potential applications of generative AI, automation, and agents to redesign high-friction enterprise workflows.
Develop or test AI-enabled management reporting, scorecards, meeting preparation, decision support, or knowledge management.
Explore role-based AI activation models for priority functions and identify opportunities to improve how Converse serves consumers.
Identify where AI can create capacity and determine how that capacity should be measured and reinvested.
Help build a repeatable playbook for moving AI use cases from idea to adoption and measurable value.
Build stakeholder alignment, facilitate working sessions, and advance cross-functional work without direct authority.
Synthesize business, operational, usage, and stakeholder evidence and communicate findings and recommendations to senior executives.