Digital Project Manager — Industrial AI, Asset Intelligence & Digital Manufacturing

• Full-time

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s Life Science and Healthcare Business Unit, Sia/LBG, focuses on supporting the life sciences and healthcare industries with strategic consulting, product development and non-dilutive funding expertise. This consulting division works with healthcare organizations, pharmaceutical & biotech companies, CROs, academia, medical device/diagnostic companies, and non-governmental organizations (NGOs) alike to solve complex business, scientific, regulatory, technological and product development challenges. Our subject matter experts help advance our clients products and programs;

supporting these companies—both large and small—to achieve organizational objectives and create tangible value for their stakeholders.

Position Summary

Sia/LBG is seeking an experienced Digital Project Manager to support a Frederick, Maryland’s manufacturing site as it advances a prioritized portfolio of roughly 40 digital and AI use cases. This is an on-site digital delivery role, not a capital projects role: the focus is on implementing and sustaining digital tools and industrial AI platforms across manufacturing, maintenance, and asset management, rather than physical plant or facility construction.

This person will own the day-to-day backlog of digital initiatives at the site, coordinate onboarding of newly prioritized use cases as they move through the site's Q4 prioritization cycle and serve as the site-based point of contact connecting operations, engineering, quality, and Sia/LBG's broader digital team. The role must be filled by someone able to work on-site, full-time, and in close proximity to the operational teams they support.

The work spans industrial AI and asset intelligence platforms (Cognite, High Byte, Seeq), maintenance scheduling and predictive maintenance planning (including tools such as Vertex), and asset documentation such as P&IDs, equipment availability, and breakdown history. This role is not a hands-on data science or platform-engineering position; the emphasis is on delivery, prioritization, and cross-functional coordination. The site is concurrently running Process Performance Qualifications (PPQs) and preparing for/undergoing FDA and other regulatory inspections, so this person must be able to sequence digital work sensitively around those constraints.

Key Responsibilities

• Own and manage the site's digital/AI use-case backlog (~40 identified use cases), driving prioritization, sequencing, and onboarding of new use cases through the Q4 planning cycle.
• Coordinate deployment, adoption, and ongoing use of industrial AI / asset-intelligence platforms such as Cognite, High Byte, and Seeq across manufacturing and engineering teams.
• Partner with maintenance and reliability teams on maintenance scheduling (e.g., Vertex) and preventive/predictive maintenance planning, including OEE-related initiatives where prioritized.
• Maintain and organize asset intelligence documentation: P&IDs, equipment availability, breakdown/downtime history to support technician checklists and troubleshooting workflows.
• Coordinate with quality,…