Project Manager, AI and Data Science

Tyndale USA•Pipersville, PA

12h•Hybrid

About The Position

Tyndale is expanding its AI and Data Science capabilities to enhance safety, customer experience, and operational efficiency within its Flame-Resistant clothing business. This role serves as both a Scrum Master for the Data Science team and a Project Manager for SaaS AI products like ChatGPT Enterprise, Veo 3, and Slack AI. The position involves managing the complete delivery cycle for Data Science projects on AWS and for enterprise SaaS AI rollouts, focusing on both technical execution and business adoption. Responsibilities include working with AWS services to build Machine Learning and Generative AI products, leading SaaS AI pilots and rollouts, managing change, training, and measuring adoption and business value.

Requirements

Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.
Bachelor's Degree required.
PMP certification required.
Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.
Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.
Proficiency with Agile delivery tools (Jira / Confluence).
Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.

Nice To Haves

Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.
Familiarity with statistics, analytics, and Data Science concepts.
Experience defining and maintaining KPI dashboards for AI and data initiatives.

Responsibilities

Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.
Manage a backlog for Data Science and AI platform work in Jira.
Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.
Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.
Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.
Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.
Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.
Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.
Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.
Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.

Benefits

Comprehensive medical, dental, and vision insurance with competitive premiums.
Paid parental leave.
Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
Generous PTO.
Paid holidays + a floating holiday.
Competitive salary.
401(k) with matching.
Bonus opportunities.
Training/certification/tuition reimbursement programs.
Demonstrated paths for knowledge share and internal promotion opportunity.
Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.