IT Project Lead

Project Overview

Client is seeking an IT Project Lead to oversee a strategic program focused on process improvement and technical implementation including AI and automation initiatives. This role requires a hands-on leader capable of aligning strategy operations and technology to drive measurable improvements in efficiency quality and business performance. Youll report to senior leadership and coordinate cross-functional teams across product engineering analytics and operations.

Key Responsibilities

• Lead end-to-end program planning and execution including scope definition milestones resources and budgeting.
• Translate strategic goals into actionable roadmaps and prioritized workstreams to achieve measurable business outcomes.
• Drive process improvement initiatives by mapping current processes identifying inefficiencies and implementing redesigned workflows.
• Collaborate with engineering data science and product teams to deliver technical solutions such as data pipelines integrations and AI/automation models.
• Oversee day-to-day execution ensuring timely delivery and effective coordination among task owners.
• Prepare and present clear concise program updates and dashboards for executive and cross-functional audiences.
• Identify assess and mitigate program-level risks escalating issues as needed to maintain project momentum.
• Apply data-driven decision-making by conducting analysis validating hypotheses and measuring performance impact.
• Support adoption and sustainment through training materials documentation and post-launch support.

Required Qualifications

• Ability to work onsite at Aramarks Philadelphia office 2 3 days per week.
• Minimum of 5 years experience managing multi-team technical programs that delivered measurable process and operational improvements.
• Strong data analysis skills; proficient in SQL or similar tools for data querying and insights generation.
• Proven background in implementing technology and AI/ML solutions for process optimization.
• Exceptional organizational and communication skills with experience briefing senior executives.
• Demonstrated success in risk management and issue resolution.
• Technical fluency to collaborate with engineers and data scientists; understanding of data engineering automation or model deployment.
• Bachelors degree in a quantitative or technical field or equivalent practical experience.

Preferred Qualifications

• Experience in product management or business analysis within data- or AI-driven projects.
• Background in retail pricing strategy.
• Hands-on experience with SQL Python and Power BI.
• Certification in Lean Six Sigma or other process improvement methodologies.
• Experience driving change management and user adoption across large organizations.

What Success Looks Like in 12 Months

• Program milestones achieved with measurable business impact in efficiency cost reduction or revenue growth.
• Stable data pipelines and integrated technical solutions embedded into operations.
• Documented and adopted future-state processes with clear ownership and KPIs.
• Established proactive risk management and escalation processes.