Global HEMA AI Lead at Boston Scientific
Arden Hills, MN
$102,100–$194,000from the description
Jul 26, 2026
Arden Hills, MN
Jul 28, 2026
What this job asks for AI summary
This hybrid role sits within Boston Scientific's Health Economics and Market Access (HEMA) function and focuses on coordinating the rollout and ongoing improvement of AI-powered tools — primarily an AI chatbot and related knowledge management solutions — across corporate, regional, and business HEMA teams. The position bridges business stakeholders, IT, and AI partners, translating HEMA needs into AI requirements, tracking adoption, and coaching users on responsible AI use. It suits someone with a project or program management background who has working familiarity with generative AI and enterprise AI solutions in a healthcare or life sciences context.
Mid level · 4+ years · Boston-Cambridge-Newton, MA-NH · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $123,896 (middle half $86,879–$166,278). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
This role is genuinely difficult to classify under a single SOC code. Its primary day-to-day work is coordinating AI enablement and adoption — closer to a business/systems analyst (15-1211) or a program manager than a software developer or data scientist. 15-1299 (Computer Occupations, All Other) is used as the best available fit; 15-1211 is the close runner-up.
The posting lists two possible office locations: Marlborough, MA and Arden Hills, MN (Minneapolis–St. Paul metro). The MA location is used as the primary CBSA given it is listed first; the role is hybrid (3 days/week in-office), not fully remote.
The required skills section names AI/Gen AI, machine learning, and NLP together as a single working-knowledge requirement — these are captured as one skill with alternatives rather than split into separate hard gates, since the posting treats them as a cluster of related familiarity rather than distinct deep requirements.
No specific degree is stated as required; the posting references experience in lieu of formal education credentials.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): project management, AI governance, metadata management.
Read the full posting
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