[Hiring] Commercial AI Lead with Pharma Services Group (PSG) @OMG Technology

Role Description

We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. This is a REMOTE role.

The Commercial AI Lead will drive the strategy, design, and delivery of AI-enabled commercial capabilities across PSG. This role will partner with Commercial, Sales Operations, Digital/IT, Data, Legal, Compliance, and platform teams to identify high-value AI opportunities, translate them into scalable solutions, and accelerate adoption across commercial workflows.

The ideal candidate combines deep commercial systems knowledge, practical GenAI and agentic AI fluency, strong enterprise integration judgment, and the ability to lead cross-functional teams from concept through measurable business impact.

Key Responsibilities

• Define and lead the PSG Commercial and Finance AI roadmap across priority workflows such as lead-to-order, quote-to-cash, opportunity management, pricing, quoting, forecasting, customer service, and commercial operations.
• Identify and prioritize high-value AI use cases by partnering with business stakeholders to assess value, feasibility, complexity, risk, adoption potential, and measurable commercial impact.
• Design practical enterprise AI solutions using patterns such as Agentic RAG, multi-agent workflows, tool-using agents, human-in-the-loop escalation, and AI-assisted commercial decision support.
• Lead AI integration across commercial systems, including SAP, Salesforce/SFDC, CPQ, ERP, CRM, pricing, customer, product, contract, and order management platforms.
• Evaluate and apply enterprise AI platform capabilities, including Salesforce Agentforce, SAP Joule, Microsoft Copilot, ChatGPT Enterprise, ServiceNow AI, and comparable commercial GenAI offerings.
• Partner with IT and data teams on AI architecture, including APIs, MCP, agent tools/skills, middleware, identity, permissions, semantic search, knowledge bases, data quality, and governance.
• Establish responsible AI practices for commercial use cases, including privacy, security, access controls, validation, auditability, hallucination risk mitigation, and compliance with enterprise standards.
• Own product delivery and value realization, including MVP definition, requirements, backlog prioritization, pilot execution, adoption plans, KPI tracking, and scale-up recommendations.
• Drive change management and adoption through stakeholder engagement, user enablement, feedback loops, playbooks, communications, and trust-building with commercial teams.
• Communicate clearly with senior leaders on AI opportunities, risks, tradeoffs, investment needs, delivery progress, and realized business value.

Qualifications

• Significant experience in commercial systems, commercial operations, digital transformation, enterprise applications, AI product management, or related business technology roles.
• Strong understanding of commercial processes and systems such as Salesforce/SFDC, SAP, CPQ, ERP, CRM, pricing, quoting, order management, and quote-to-cash.
• Practical knowledge of Generative AI, agentic AI patterns, RAG, workflow automation, AI assistants, and enterprise AI platforms.
• Experience translating business pain points into scalable digital or AI-enabled solutions with measurable business outcomes.
• Experience in pharma services, life sciences, CDMO, biopharma, manufacturing, clinical supply, or regulated commercial environments.
• Experience with Salesforce Agentforce, SAP Joule, Microsoft Copilot, ChatGPT Enterprise, ServiceNow AI, or similar enterprise AI capabilities.
• Familiarity with MCP, agent tools, agent skills, APIs, semantic search, vector databases, knowledge management, and secure system integration.
• Experience leading AI pilots from discovery through launch, adoption, measurement, and scale.
• Familiarity with responsible AI practices, model evaluation, prompt/agent testing, data governance, and enterprise risk controls.
• Ability to work across business, technology, data, security, legal, compliance, and vendor teams in a large matrixed enterprise.
• Strong communication skills, including the ability to explain complex AI concepts, risks, and tradeoffs to non-technical senior stakeholders.
• Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, Data Science, or a related field; advanced degree preferred.

Leadership Expectations

This role should model Thermo Fisher’s culture by bringing Integrity to responsible AI decisions, Intensity to execution and value delivery, Innovation to practical AI solution design, and Involvement through strong cross-functional partnership.

Success Measures

• AI roadmap aligned to PSG commercial priorities and enterprise technology standards.
• High-value AI use cases moved from concept to production with measurable outcomes.
• Improved commercial productivity, cycle time, quote speed, knowledge access, customer responsiveness, or decision quality.
• Strong adoption by commercial users and clear executive visibility into realized value.
• Responsible, secure, and scalable AI solutions embedded into core commercial workflows.

Other Job Details

• Job Type: C2C or W2.
• Duration: 6+ months with high possibility of extension.
• Location: REMOTE.
• Pay Rate: $65/hr. on C2C or $60/hr. on W2.
• Interviews: Video interviews.
• Docs required: ID proof will be required.