Principal, AI Enablement

Boston Scientific•Arden Hills, MN
•$125,800 - $239,000•Hybrid

About The Position

Boston Scientific is accelerating enterprise AI adoption through transformation programs across Commercial, Operations, Clinical, Finance, HR, Global Business Services and other functions. The Principal, AI Enablement is a hands-on senior individual contributor who connects organizational capabilities to translate AI investments into sustained adoption, new ways of working and measurable business value. Reporting to the Director, AI Organization Transformation, the role partners across Enterprise AI, Organizational Transformation, Enterprise Talent, functional learning organizations and business leadership. The role goes beyond traditional change management by translating AI-enabled workflow and job redesign into the leadership, capability, behavior and operational changes needed to realize value. It owns the integrated activation strategy and coordinates delivery through enterprise and functional partners, integrating existing learning, organizational design, communications and training capabilities into business-specific AI activation strategies. The initial assignment is Commercial AI, with the goal of establishing a repeatable activation model that can scale to future enterprise AI programs. The position follows a hybrid work model and requires employees to work in the Massachusetts or Minnesota office at least three days per week. Sponsorship and relocation assistance are not available for this position. The anticipated salary range is $125,800–$239,000; compensation varies based on location, experience, education and other pertinent factors. Eligible compensation may include annual bonus targets and long-term incentives, subject to plan eligibility and requirements.

Requirements

  • Bachelor's degree in business, organizational development, human resources, learning, communications or a related field.
  • At least 8 years of experience in enterprise transformation, organizational change, capability strategy, learning strategy or business transformation.
  • Experience partnering directly with senior business leaders to drive adoption of complex strategic or technology-enabled change initiatives.
  • Demonstrated ability to integrate change management, communications, leadership activation, capability development and adoption measurement into cohesive transformation strategies.
  • Experience leading transformation initiatives from readiness assessment and strategic planning through implementation, adoption and sustainment.
  • Strong understanding of organizational transformation, capability development, leadership enablement, change management and technology adoption.
  • Ability to translate complex transformation strategies into clear executive recommendations, actionable business plans and measurable outcomes.
  • Strong executive presence, communication and influencing skills, including the ability to operate effectively without direct authority in a matrixed, global organization.
  • Ability to build new organizational capabilities in ambiguous, fast-paced environments while maintaining execution discipline and accountability.

Nice To Haves

  • Master's degree in business, organizational development, human resources, learning, communications or a related field.
  • Experience enabling enterprise AI, digital, data or technology transformation initiatives.
  • Experience supporting workflow, role, job or operating model redesign and translating changes into adoption and capability requirements.
  • Experience working in Commercial, Sales, Sales Operations or another customer-facing business environment.
  • Experience in a regulated global industry, such as medical technology, health care, life sciences or financial services.
  • Familiarity with AI readiness, adoption, capability development and value realization measurement.
  • Experience designing reusable transformation playbooks, activation models, leadership development journeys or champion networks.

Responsibilities

  • Own integrated AI activation strategies that connect leadership activation, organizational readiness, capability development, communications, adoption and value realization for priority AI transformation programs.
  • Serve on the Commercial AI Leadership Team, representing people, capability, readiness and adoption work and acting as the primary Talent integration partner for program sponsors.
  • Partner with Commercial Leadership, Sales Operations, Enterprise AI, IT, AI Organization Transformation, HR, Enterprise Talent, functional learning teams, Communications and AI product teams to align organizational readiness with technology and workflow deployment.
  • Translate AI-enabled workflow, role and operating model changes into clear expectations for leaders, employee capabilities, learning needs, behaviors and business operating rhythms.
  • Lead activation from readiness assessment through implementation and sustainment, embedding redesigned workflows, leadership expectations and AI-enabled ways of working into business operations.
  • Define role-specific AI capability strategies by identifying gaps, establishing requirements and partnering with functional learning organizations to develop practical, experience-based learning journeys.
  • Leverage enterprise AI learning, leadership, skills, communications, champion and readiness capabilities; identify where business-specific interventions are needed and maintain accountability for capability strategy rather than learning content creation.
  • Develop leadership activation strategies covering leader expectations, manager accountability, coaching, reinforcement, operating rhythms and adoption measures.
  • Activate integrated AI Champion and Change Champion networks to validate use cases, gather feedback, identify barriers, reinforce adoption and share success stories.
  • Assess organizational and AI readiness, identify adoption risks and recommend targeted interventions to address barriers before they affect implementation or value realization.
  • Establish and monitor measures of leadership readiness, capability readiness, employee confidence, technology and workflow adoption, behavior change, business readiness and value realization.
  • Deliver executive reporting on activation progress, readiness, adoption, risks, decisions and recommended adjustments through the AI Executive Steering Committee and other governance forums.
  • Use adoption and performance data to refine activation strategies, accelerate value realization and strengthen long-term sustainment.
  • Develop reusable activation playbooks, tools, measures and methodologies that can scale across future enterprise AI transformation programs.
  • Drive Commercial AI activation by embedding AI capabilities into priority workflows, enabling leaders and managers to reinforce new ways of working, strengthening employee confidence and capabilities, and establishing a repeatable model that contributes to measurable business value.
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