Associate Director - AI & Data (1278) at Axtria, Inc.
Berkeley Heights, NJ
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Jul 14, 2026
Berkeley Heights, NJ
Jul 21, 2026
What this job asks for AI summary
A consulting leadership role focused on delivering AI, data, and analytics programs for life sciences clients, spanning commercial pharma and healthcare domains. The position combines client advisory work, end-to-end program management across global teams, and pre-sales involvement, while also guiding internal teams on solution design using cloud platforms, AI/ML, and GenAI technologies. Suits an experienced leader with a background in life sciences data and analytics consulting.
Principal level · National · Bachelor's required · 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
What the occupation pays Median $178,991 (middle half $141,096–$225,584).
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 (7)
No work location is specified in the posting. Axtria is headquartered in Berkeley Heights, NJ, but the JD does not name a city, state, or remote policy — location fields left blank.
The title 'Associate Director' carries no standard seniority level word, so the title states no level. However, the actual scope — P&L-adjacent delivery leadership, managing global onshore/offshore teams, business development, and shaping practice strategy — supports a Principal-level classification.
The role is primarily a people-management and client-leadership position (direct reports, talent development, succession planning, business development), which maps most naturally to 11-3021 Computer and Information Systems Managers. The runner-up 15-1299 reflects the heavy hands-on solutioning and AI/data architecture advisory work described.
Commercial pharma / life sciences domain experience is stated as required ('Commercial pharma experience is required'), but it is domain knowledge rather than a named technology or tool, so it is not emitted as a skill per extraction rules.
AWS, Azure, Snowflake, and BI/reporting platforms appear only under the 'Preferred Technical & Functional Background' section and are therefore marked as preferred.
AI/ML and GenAI are called out in the required 'What You'll Bring' section ('Demonstrated exposure to AI and GenAI tools/use cases') and are marked as required. The posting does not name specific AI/ML frameworks or GenAI platforms.
No compensation range is provided in the posting.
Read the full posting
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