Principal Technical AI & Solutions Consultant

Job Title:

Principal Technical AI & Solutions Consultant

Job Function:
Business Analyst

Location:

Remote

USDM Life Sciences is a premier consulting company with 20+ years of experience assisting heavily regulated biotech, medical device, and pharmaceutical companies with their GxP technologies to accelerate growth. Our deep domain knowledge and technology expertise in life sciences business processes are what set us apart. From strategy to implementation and adoption, we have delivered thousands of GxP projects globally.

As part of the USDM team, you have the opportunity to work with cutting-edge technologies through our many partnerships with companies like Microsoft, Google, Oracle, Docu Sign, Box, and many more. From molecule to market, you will help connect technology, people, and data in new ways to generate real-time insights to improve business outcomes for USDM's customers. Are you ready to make an impact and drive real digital transformation in life sciences?

Founded in Santa Barbara in 1999, USDM has grown to a progressive, global company with 300+ remote employees and offices throughout the US, Canada, and Germany.

The Principal Technical & AI Solutions Consultant is a senior practitioner and business driver who bridges deep technical implementation expertise with the strategic acumen required to generate and advance commercial opportunities within the life sciences industry. This role is uniquely hands-on. The individual must be equally comfortable architecting and implementing AI-powered solutions, configuring data pipelines, and executing system integrations as they are leading executive-level discovery sessions, crafting proposals, and driving sales cycles to close.

The Principal Technical & AI Solutions Consultant will serve as USDM's most technically credible commercial voice at the intersection of AI, data, and life sciences IT operations, translating customer challenges into tangible, deployable solutions that deliver measurable business and compliance value.

• Drive business development by identifying, qualifying, and advancing new opportunities across the life sciences industry with a focus on AI implementation, data and integration architecture, and IT-enabled operations.
• Own the end-to-end sales cycle for technical and AI engagements, from initial customer discovery and solution scoping through proposal development, SOW authoring, RFP response, and contract execution.
• Cultivate and maintain executive-level customer relationships, conducting compelling C-suite and VP-level conversations that connect technical capabilities to strategic business and regulatory outcomes.
• Advise customers on the current AI landscape, including foundation model providers (OpenAI, Anthropic, Google, AWS), AI platforms, and life sciences-specific AI tooling, and translate this knowledge into practical, risk-managed deployment strategies.
• Develop and deliver technically rigorous yet business-accessible presentations, demonstrations, and proof-of-concept builds that accelerate customer decision-making.

• Architect, implement, and deliver AI and machine learning solutions within life sciences environments, including large language model (LLM) deployment, retrieval-augmented generation (RAG) pipelines, AI agents, and machine learning model integration into validated systems.
• Design, build, and manage data pipelines that aggregate, transform, and deliver structured and unstructured data across cloud, on-premises, and hybrid environments (e.g., Azure Data Factory, AWS Glue, Databricks, Snowflake, dbt).
• Lead system integration efforts connecting enterprise platforms, including Veeva Vault, Salesforce, SAP, Oracle, MES, LIMS, and ERP systems, using RESTful APIs, message queues, and integration middleware.
• Configure and administer life sciences IT systems, supporting platform migrations, cloud infrastructure deployments, and validated system implementations in GxP-compliant environments.

• Lead cross-functional delivery teams through the full project lifecycle, ensuring technical quality, on-time delivery, and measurable outcomes.
• Define project scopes, technical architectures, and deliverables in alignment with customer expectations and USDM delivery standards.
• Build and mentor teams of technical consultants, establishing best practices in AI implementation, data engineering, and…