მონაცემთა ოპერაციების სპეციალისტი
- მისამართი
- თბილისი, Tbilisi, Georgia
სრული აღწერა
Impel AI is pleased to announce an opening for the position of Data Operations Specialist.
Location: Tbilisi, Georgia
Reports to: Senior Manager, Data Operations
Key Partnerships: Engineering, Conversation Design, AI Research, Product, Customer Success, Marketing
Mission & Vision:
We transform how vehicle sellers engage, educate, and interact with shoppers across the entire customer journey by harnessing the power of digital technology and data. We deliver the world`s most engaging customer experiences for vehicle sellers of every type and size.
Job Summary:
The Data Operations Specialist plays a critical role in ensuring the integrity, quality, and operational efficiency of data powering Impel`s AI systems. This role requires strong analytical capability, technical fluency across internal and external tools, and the ability to collaborate cross-functionally to improve workflows, reporting accuracy, and customer outcomes.
The specialist will manage data processes end-to-end, oversee AI-related escalations, support reporting initiatives, and proactively identify operational improvements that impact product performance and customer value.
Our Values:
- Relationships - We are dedicated to transparency, open communication, and building trust that lasts beyond a transaction.
- Grit - We approach every activity and opportunity with tenacity and tireless execution.
- Results - We achieve success for our partners and take personal accountability for everything we do.
- Inventiveness - We lead with curiosity, which drives us towards continuous learning and innovation.
- Essential Functions of the Job
Responsibilities:
Data Quality & Process Ownership
- Monitor and control internal tools and operational resources to ensure high data accuracy and system reliability.
- Annotate, validate, and analyze large datasets to support AI model training and optimization.
- Perform root cause analysis on lead handling issues and system inconsistencies.
- Ensure proper data flow between systems and internal platforms.
- Maintain documentation and process transparency within cross-functional teams.
AI & Customer Escalations
- Serve as a strategic escalation point for AI-related customer issues.
- Collaborate with Engineering and Product teams to identify and resolve system or workflow gaps.
- Provide structured issue reports and actionable feedback to development teams.
Reporting & Analytics
- Generate analytical reports and dashboards to support decision-making.
- Track KPIs related to data quality, AI performance, and operational efficiency.
- Support internal stakeholders with data-driven insights.
Operational Excellence:
- Work efficiently to meet project deadlines and deliver labeled datasets within defined timeframes.
- Manage multiple parallel workflows in a fast-paced, dynamic environment.
- Continuously improve processes and contribute to automation initiatives.
Requirements:
- English proficiency (B2-C1 level).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication.
- Ability to multitask in a fast-paced environment.
- High attention to detail and ownership mindset.
- Experience in Customer Service or SaaS operations is a plus.
Candidates must have working knowledge or practical experience with the following tools and platforms:
- Salesforce - CRM data monitoring, lead tracking, and reporting
- Jira & Confluence - Issue tracking, documentation, and cross-team collaboration
- FileZilla - Secure file transfers and data handling
- Manager/Merchandising Internal Tool - Internal operational systems management
- Monday Board - Workflow and project management tracking
- Marketing AI Platform - Monitoring AI-driven campaigns and performance data
- Tableau - Data visualization and reporting dashboards
- Snagit - Documentation, issue reporting, and process capture
- Microsoft Excel - Advanced data preprocessing, validation, and analysis
If interested, please fill out the form via this application link: myjobs.adp.com — ბმულის გახსნა
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