Digital Innovation Consultant

Job Description

Insight Global is seeking a Digital Innovation Consultant for a leading pharmaceutical manufacturing client. This individual will serve as a hands-on technical evaluator and strategic business partner responsible for identifying, assessing, and validating emerging AI and digital technologies. The consultant will collaborate closely with business stakeholders, lead vendor evaluations, execute proof-of-concept initiatives, and develop ROI-driven business cases that influence technology investment decisions. The ideal candidate combines pharmaceutical manufacturing expertise with strong MES/LIMS knowledge, OT/IT technical fluency, and the ability to translate complex technology capabilities into measurable business value. This is a highly visible opportunity to help shape the digital future of a next-generation manufacturing facility while working directly with innovative technologies across AI, automation, robotics, digital twins, computer vision, and immersive technologies.

Day-to-Day

• Lead technical evaluations of AI and digital technology vendors
• Gather business requirements and document user workflows
• Develop vendor assessment frameworks, scorecards, and recommendation matrices
• Conduct technical feasibility studies and proof-of-concept evaluations
• Execute and document POCs in a lab environment
• Analyze solution performance, security, compliance, scalability, and integration capabilities
• Build ROI-driven business cases for pilot and implementation opportunities
• Establish KPI baselines and measure business impact
• Facilitate vendor demos, technical workshops, and stakeholder meetings
• Partner with business, technology, data, quality, and compliance teams
• Present findings and recommendations to leadership and governance teams
• Support knowledge transfer and best-practice development across the Digital Innovation organization
• Evaluate emerging technologies and recommend investments aligned to business strategy

Must-Haves

• Extensive knowledge of AI technology and emerging AI innovations.
• Pharmaceutical manufacturing, CDMO, or life sciences industry experience.
• Strong understanding of GxP regulations and compliance requirements.
• Knowledge of 21 CFR Part 11, Computer Systems Validation (CSV), and ALCOA+ principles.
• Experience with Manufacturing Execution Systems (MES).
• Experience with Laboratory Information Management Systems (LIMS).
• Experience evaluating technology vendors and digital solutions.
• Ability to develop business cases, ROI analyses, and value assessments.
• Experience defining and reporting KPIs tied to operational outcomes.
• Strong requirements gathering and stakeholder engagement skills.
• Ability to work onsite in Indianapolis 90% of each month. Relocation assistance is not provided for candidates who are not already local to Indianapolis, IN.

Plusses

• Experience with SCADA, PLCs, process historians, and edge computing.
• Knowledge of cloud platforms, APIs, and integration middleware.
• Experience integrating MES, LIMS, ERP, and historian systems.
• Exposure to Digital Twins, AR/VR technologies, or smart manufacturing initiatives.
• Experience evaluating robotics, computer vision, or cognitive AI solutions.
• Familiarity with GAMP 5 requirements.
• Strong workshop facilitation and executive presentation skills.
• Experience supporting technology adoption and change management initiatives.
• Ability to bridge Operational Technology (OT) and Information Technology (IT) environments.

Compensation

$70-85/hr on W2. Intended to be a multi-year W2 contract starting at 12 months. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave as determined under the applicable law of the worksite location.