Deployment Strategist
About The Position
The Deployment Strategist joins ReadyOn.AI’s Enterprise Partnerships team and works across multiple customer deployments alongside Engagement Managers. The role turns complex labor environments into working ReadyOn deployments and contributes directly to live Fortune 500 implementations by building configurations, analyzing data, supporting training delivery, and participating in customer engagements. The role also develops structured product intelligence to help Product and Engineering understand what is happening in the field. Over time, the position can grow from deployment execution into product synthesis, analytical infrastructure, and solutions work. Strong performers may move into Engagement Management, Solutions Engineering, or Product roles.
Requirements
- 0–3 years of professional experience.
- A degree in Computer Science, Economics, Business, Data Analytics, Mathematics, Engineering, or a similar analytical field.
- Ability to structure ambiguous operational questions into analyses, work with raw data such as exports, API responses, and unfamiliar schemas, and identify patterns across data sets and engagements.
- Ability to learn tools and schemas quickly, think in systems, read scripts, automate repetitive tasks, and debug configurations.
- Basic knowledge of APIs, data sync, and webhooks sufficient to diagnose problems and communicate with engineers.
- Ability to manage several concurrent workstreams, follow through without close supervision, and build repeatable processes.
- Clear communication skills for client calls and written summaries, feature requests, and status updates.
- Ability to work across engineering, product, and customer teams.
Nice To Haves
- Experience with Python or a BI tool.
- Exposure to enterprise SaaS, workforce management, or labor operations.
Responsibilities
- Own defined client deployment workstreams, including go-live preparation, configuration troubleshooting, and manager training.
- Lead relevant client calls and bring technical and analytical depth to customer conversations.
- Translate employer data and rules into system-ready configurations.
- Own solution-design details in pilots and early-stage deployments, and contribute to validation and user acceptance testing.
- Identify field-level product gaps and communicate them to Product and Engineering based on deployment data.
- Write feature requests informed by patterns across customers.
- Build deployment-health dashboards, cross-customer operational analyses, and adoption and usage metrics.
- Run ad hoc data pulls for customer-facing deliverables, including board decks and quarterly business review materials.
- Create reusable templates, scripts, playbooks, and analytical frameworks to make future deployments faster.
- Support the development of the data warehouse and internal analytics infrastructure.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
