HR Principal, AI Organization Transformation

Onsite Location(s):
Arden Hills, MN, US, 55112

Additional Location(s): US-MA-Marlborough

Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Boston Scientific is embarking on a multiyear enterprise AI transformation to responsibly and effectively integrate artificial intelligence across the organization. We are seeking an HR Principal, AI Organization Transformation, to serve as a senior individual contributor and subject matter expert driving the design and implementation of AI-driven organization, work and role transformation across the enterprise.

This is, fundamentally, an organization and work design role. What sets it apart from traditional organization design is deep, current AI fluency: the ability to understand how generative AI and agentic AI change roles, work and the way an organization is structured, and to translate those changes for the technical and change partners who build and embed them. The Principal pairs that fluency with strong organization design expertise and the judgment to connect the two into one coherent plan.

Reporting to the HR Director, AI Organization Transformation, the Principal operates as a hands‑on practitioner within an intact, cross‑functional pod that includes an AI Technical Team, an AI Change Enablement and Upskilling lead, business subject matter experts and HR business partners. The Principal owns the design and its implementation end to end, translates requirements to pod partners and sets the standard for rigor in the team’s outputs.

Because this is a newly established capability, the role suits someone comfortable building in ambiguity and ready to take engagements from diagnosis through lasting change. It is an ideal fit for someone who has led this type of work in consulting or a large enterprise and is ready to own and deliver it in a complex, global medtech environment.

This role follows a hybrid work model requiring employees to be in our MA or MN office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

• Lead organizational redesign analyses and design efforts for functions undergoing AI‑driven transformation, including research, stakeholder interviews, design‑option development and recommendations.
• Apply task‑level decomposition methodology to break roles into discrete tasks, assess each task’s suitability for AI augmentation or automation, and redesign roles around the resulting human‑AI boundary.
• Design new AI‑era roles and job families, including human‑AI teaming roles, AI workflow orchestrators, and AI governance and oversight roles, with clear accountabilities and competency profiles.
• Ensure job architecture, competency frameworks, skills and career paths are updated to reflect the responsibilities and skills required in an AI‑augmented organization.
• Drive implementation by standing up new structures and roles, working through the transition, and ensuring designs hold in practice in partnership with the change lead.
• Partner with Talent Management and Total Rewards to connect job design outputs to workforce planning, hiring, performance management and compensation.
• Maintain deep, current fluency in AI, generative AI and agent‑based AI, and translate their capabilities into concrete implications for roles, skills, structures and workflows.
• Translate the AI Technical Team’s possibilities and constraints, and the change team’s requirements, into clear design decisions and actionable requirements for pod partners.
• Monitor external AI, generative AI and agentic AI trends and translate relevant developments into practical design recommendations.
• Use Reejig‑driven task decomposition to inform which work…