Director of AI-Driven Business Enablement

Automatic Data Processing, Inc.

Harmonville (PA)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Medical, Vision and Dental benefits

401(k) Retirement Savings Plan

Paid Parental leave

Employee Stock Purchase Plan (ESPP)

Company sponsored wellness programs

Job summary

Harmony Biosciences is recruiting for a Director, AI and Business Enablement in our Plymouth Meeting location. The role bridges AI/data science capabilities with R&D and Commercial functions to transform processes and drive measurable business value.

The ideal candidate will have 10+ years in tech/digital transformation, with 2–3 years in AI delivery, and strong leadership and change-management skills to align AI investments with regulatory standards and ROI.

Qualifications

Bachelor's degree in Computer Science, Data Science, Life Sciences, Business, or related field required.
10+ years of experience in technology or digital transformation roles, with 2–3 years focused on AI solution delivery or enablement.
Prior experience in pharmaceutical, biotech, or life sciences industry preferred with familiarity with Clinical, Commercial, GxP, regulatory, and compliance considerations.
Demonstrated experience translating business needs into technical solutions and managing cross‑functional delivery teams.
Good understanding and experience in Veeva Vault, CRM and Commercial Analytics.
Strong understanding of AI/ML concepts, generative AI, and data platforms (does not require hands‑on coding, but must be able to engage credibly with technical teams).

Responsibilities

Advise R&D leadership on technology process improvement, digital enablement and AI.
Lead end-to-end technology process assessments and redesign initiatives across Clinical, Regulatory, Pharmacovigilance, Quality and Medical Affairs.
Identify inefficiencies and implement standardized, scalable, and compliant technology process models.
Establish KPIs, process metrics, and continuous improvement frameworks.
Partner with business function leaders to identify, evaluate, and prioritize AI/ML use cases addressing real business problems.
Translate business requirements into AI solution roadmaps with data science, data engineering, and IT teams.
Oversee end-to-end delivery of AI initiatives from ideation to production deployment.
Ensure AI solutions are designed with usability, scalability, and business adoption in mind.