Optomi, in partnership with a leading organization focused on data product development, is looking for a Project IT Manager IV to join their team to lead delivery for two cross‑functional teams focused on building and enhancing data products.
This role partners closely with engineering, data, analytics, and business stakeholders to ensure initiatives are well intaked, properly prioritized, transparently communicated, and delivered predictably. The ideal candidate is highly organized, technically fluent, comfortable operating in an Agile environment, and experienced managing complex data platforms with both batch and streaming workloads. This role requires strong ownership across planning, execution, risk management, and stakeholder alignment.
Type: W2 Contract - 12 months with high likelihood of extension
Location: Hybrid in Charlotte, NC (3x onsite)
Required Qualifications:
- 7+ years of experience in technical project or program management, preferably supporting data or platform teams
- Proven success managing multiple teams and complex delivery roadmaps
- Strong understanding of Agile/Scrum methodologies
- Excellent organizational, communication, and stakeholder management skills
- Familiarity with cloud-native data architectures, especially on AWS
- Experience supporting both streaming and batch data processing
Preferred Qualifications:
- Own end‑to‑end project delivery for multiple concurrent data initiatives across two teams
- Establish and manage a structured work intake process, ensuring clear scope, requirements, and acceptance criteria
- Develop and maintain project plans, timelines, and forecasts, adjusting as priorities or dependencies change
- Drive predictable delivery through proactive risk identification, mitigation planning, and issue escalation
- Partner with product owners, engineering leads, and business stakeholders to prioritize work based on value, capacity, and dependencies
- Facilitate Agile ceremonies including daily standups, sprint planning, backlog refinement, reviews, and retrospectives
- Create clear, concise artifacts such as dashboards, timelines, RAID logs, and executive summaries
- Act as a central point of coordination between technical teams and non-technical partners
Technical Environment:
- Data Products & Data Platforms
- Data Processing & Languages: PySpark, Python
- Streaming & Messaging: Kafka, streaming and batch data pipelines
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