10+ years in life sciences (pharmaceutical, biotech, medical device) in digital, technology, quality, or manufacturing leadership roles.
Experience in GxP-regulated environments, covering validation and change control.
Skilled in advising business executives beyond IT and procurement.
Proficient in AI/ML delivery methods for cross-communication with stakeholders.
Exceptional written and verbal communication abilities for executive audiences.
Responsibilities
Advise on AI and digital solutions for GxP life sciences environments across various functions.
Translate technical capabilities into narratives for business stakeholders.
Develop insights on AI value creation in regulated sectors.
Forge and maintain relationships with client executives.
Collaborate with leadership to optimize enterprise opportunities.
Guide delivery teams on regulatory and validation issues during design phases.
Aid in developing frameworks specific to life sciences delivery.
Benefits
Cross-account advisory role provides diversity in engagements.
Option for full-time or fractional/advisory arrangements.
Expected travel to client sites enhances networking and collaboration opportunities.
Full Job Description
Job Overview
Life Sciences Industry Consultant
Milestone Technologies is seeking a Life Sciences Industry Consultant to join our sales and delivery life science practice. This client-facing advisory role provides life sciences domain expertise to enterprise engagements, helping translate AI and digital delivery capabilities for regulated life sciences environments and supporting business development with life sciences clients. Responsibilities
Advise client engagements on AI and digital solutions for regulated (GxP) life sciences environments, including Supply Chain, Manufacturing, Quality, and R&D functions.
Translate technical delivery capabilities into business-relevant narratives and materials for client business stakeholders.
Develop and maintain a point of view on where AI creates value in regulated environments, and where it does not.
Build and maintain executive-level relationships with client business leaders.
Partner with account and delivery leadership to qualify and shape enterprise-scale opportunities.
Advise delivery teams on regulatory and validation considerations - GxP, 21 CFR Part 11, computer system assurance - during solution design.
Support the development of repeatable, life sciences-specific delivery frameworks and accelerators.
Contribute to practice-level assets, including points of view, case studies, and credentials.
Support multiple client engagements as a cross-account resource.
Required Qualifications
10+ years of experience in the life sciences industry (pharmaceutical, biotech, or medical device), in a digital, technology, quality, or manufacturing leadership role, or as a practice leader serving the industry.
Demonstrated experience with GxP-regulated environments, including validation, change control, and computer system assurance.
Experience engaging business executives (not limited to IT or procurement) as a trusted advisor.
Working knowledge of AI/ML delivery approaches sufficient to communicate between technical and business stakeholders.
Strong written and verbal executive communication skills.
Preferred Qualifications
Experience with large pharmaceutical or biotech enterprise clients.
Background at a consultancy or systems integrator with an established life sciences practice.
Familiarity with AI delivery or platform models for enterprise clients.
Existing relationships within life sciences Supply Chain, Manufacturing, Quality, or R&D organizations.
Role Details
Cross-account advisory role; not tied to a single client delivery team.
Reports into practice / account leadership.
Full-time or fractional / advisory arrangements considered.
Some travel to client sites expected.
Compensation commensurate with experience.
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Compensation
Estimated Pay Range: The estimated pay range for this position is USD $200,000/Yr. - USD $220,000/Yr. This is an exempt role.
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.