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. You'll 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 Aramark's 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.Bachelor's 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.