Manager, Data Operations

🔥 15 hours ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Uberall

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🍽️ Food & Beverage

🏨 Hospitality

🚘 Automotive

Food & Beverage • Hospitality • Automotive

Uberall is an AI-powered SaaS platform that helps multi-location brands manage and optimize their local digital presence. It centralizes listings, location data, review management, messages, local pages, social publishing and analytics, and uses its AI agent (UB-I) and Location Performance Optimization (LPO) to improve discoverability, engagement and revenue across search, maps, voice and AI platforms. Uberall integrates with CRMs, POS and analytics tools to scale local SEO and reputation management for marketing and customer experience teams.

📋 Description

• Lead the Data Operations team’s night shift and drive operational excellence • Oversee operations professionals through guidance, coaching, and mentorship • Contribute to and execute operational strategy, policies, and procedures • Identify and implement process enhancements, automation, and streamlined workflows • Plan and allocate resources, including workforce scheduling, workload distribution, and capacity planning • Establish performance objectives, track key metrics, provide feedback, and address performance gaps • Develop and enforce quality control measures for accuracy, standards adherence, and regulatory compliance • Create and maintain operational reports • Analyze data to identify trends, bottlenecks, and improvement opportunities • Present operational insights to senior management

🎯 Requirements

• 2 to 4 years of proven experience managing teams in a fast-paced operational environment • At least 2 years of experience leading teams in data operations, quality assurance, data entry, or a related field • Proven ability to drive team performance, set clear goals, and motivate team members • Strong background in process automation and optimization, with hands-on experience identifying efficiency gaps and implementing scalable solutions • Exceptional analytical skills, including resolving complex data discrepancies and translating findings into actionable insights • Experience coaching, training, and mentoring team members • Experience in quality assurance and audit processes, with the ability to synthesize results into meaningful reports • Proactive, organized, and solution-oriented mindset, balancing multiple priorities while maintaining high standards • Excellent written and verbal communication skills in English • Advanced knowledge of Google Sheets and related automation tools is a strong plus