Senior Program Manager, AI & Data Ecosystems Program

Location: Conshohocken

Committed to serving global societal needs. ASTM International positively impacts public health and safety, consumer confidence, and overall quality of life. We integrate consensus standards - developed with our international membership of volunteer technical experts - and innovative services to improve lives... Helping our world work better.

ASTM provides an excellent compensation and benefits package including:

• Undergraduate and Graduate Tuition Reimbursement

• Comprehensive medical, dental, vision, life and disability insurance

• Paid holidays vacation and sick leave

• 403(b) plan with company match

• 100% company-funded defined benefits pension plan

Summary of Position

ASTM is seeking a highly motivated and technically fluent Program Manager to help build, operate, and scale the ASTM Data Exchange-a global data-sharing ecosystem designed to unlock high-value industrial datasets for AI training and manufacturing productivity. This role will serve as a central coordination point between ASTM, contributor organizations, technical committees, and global partners. The Program Manager will oversee project execution, data contributor onboarding workflows, standards alignment, and operational readiness for a deeply transformative initiative.

This position is ideal for a program builder who thrives at the intersection of AI, data governance, digital manufacturing, and large-scale multi-stakeholder initiatives.

Key Responsibilities

Program Operations & Delivery

• Manage day-to-day execution of the ASTM Data Exchange program, ensuring alignment with strategic milestones, partner responsibilities, and third-party deliverables.
• Coordinate cross-functional teams (engineers, data scientists, marketing, legal, member companies) to support timely deployment of program components.
• Maintain operational readiness for contributor and requestor portals, UI interfaces, and secure data ingestion workflows.
• Support documentation, planning, and execution of the Data Exchange and its milestones.

Data Contributor & Partner Engagement

• Serve as a primary point of contact for contributors providing data, guiding them through onboarding, governance requirements, and technical support.
• Coordinate "lighthouse" contributor workflows, ensuring data quality, metadata completeness, and compliance with contributor-defined usage controls.
• Facilitate the data request "flywheel" process, working with the Data Exchange team to fulfill high-value data requests and resolve data gaps.

Standards & Governance Alignment

• Engage with ASTM's Technical Committee on AI for Manufacturing.
• Ensure that program operations comply with emerging standards for data sovereignty, permissions, attribution, and model governance.
• Contribute to best practices for data quality scoring, data lineage, and contributor-defined permissions.

Strategic Planning & Reporting

• Develop program dashboards, KPIs, progress reports, and risk assessments to keep senior leadership and partners informed.
• Identify operational bottlenecks and recommend solutions to enhance scalability and reliability.
• Participate in budget planning, forecasting, and resource prioritization.

Communications & Ecosystem Development

• Support marketing and communications specialists on program promotion, events, and workshops.
• Prepare presentations, briefs, and materials for global partners, governmental stakeholders, standards bodies, and internal teams.
• Represent ASTM Data Exchange in cross-industry meetings, technical sessions, and conferences as needed.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related field.
• 5-8 years of experience in program/project management in one or more relevant domains:
  • AI / ML platforms
  • Data governance / data platforms
  • Manufacturing or industrial digitalization
  • Standards development or regulatory coordination
• Experience coordinating multi-stakeholder initiatives or complex technical programs.
• Strong familiarity with data management workflows, data quality, or data architecture (cloud platforms, data ingestion, metadata, data pipelines, etc.).
• Excellent communication, organization, and stakeholder management skills.
• Ability to work with…