Global Operations Manager

Mindy Support

1d

About The Position

Mindy Support is seeking a Talent Operations Manager to establish and expand the company's global data-sourcing network. The core responsibility of this role involves initiating and overseeing a key crowdsourcing and data collection initiative, with complete accountability for all talent and data-sourcing avenues. These avenues encompass global gig workers, specialized data collection teams, subcontractors, recruitment partners, agencies, and external data suppliers worldwide. This is a hands-on leadership position requiring the ability to devise the operational framework, construct the sourcing infrastructure, rapidly deploy new channels, and establish the necessary systems for consistent, large-scale data project delivery across diverse geographical regions. The role will collaborate closely with the CEO, Commercial Director, operations leadership, and recruitment teams. The fundamental objective is to swiftly enhance delivery capabilities, improve operational oversight, and develop a scalable sourcing model to support the company's future expansion.

Requirements

• 5+ years of relevant experience within strategic recruitment/delivery/program management functions
• Proven experience in talent operations, workforce operations, crowdsourcing, recruitment operations, data collection, outsourcing, BPO, gig platforms, or distributed workforce management
• Experience launching or scaling high-volume, multi-country talent or contributor programs
• Strong understanding of crowdsourced delivery models and gig workforce operations
• Experience managing multiple sourcing channels, including direct recruitment, agencies, subcontractors, communities, and external providers
• A track record of building operational models, processes, controls, and performance systems from the ground up
• Experience with rapid project ramp-ups and fluctuating workforce demand
• Strong analytical capability and confidence working with funnel, capacity, cost, quality, and productivity metrics
• Strong partner-management and commercial negotiation skills
• A high level of ownership, energy, pragmatism, and execution discipline
• Open and creative mindset, proficiency with modern AI tools

Nice To Haves

• Experience in AI data services, data annotation, data collection, content moderation, localization, BPO, customer support outsourcing, or other distributed service environments would be a strong advantage.

Responsibilities

• Scale the Data Collection business
• Lead the launch of data collection as a dedicated strategic service line.
• Define the operational model, sourcing structure, resourcing approach, recruitment requirements, quality standards, and delivery processes for data collection service
• Build repeatable playbooks and best practices for new data collection projects, markets, languages, and contributor profiles.
• Translate commercial demand into practical sourcing and workforce plans
• Ensure that new large-scale projects can be staffed, launched, and scaled quickly without compromising quality or control.
• Own the global data-sourcing ecosystem
• Oversee and continuously improve all channels used to source talent, contributors, and data, including: Global crowdsourced gig talent, Direct recruitment, Staffing agencies and subcontractors, Specialist data providers, Job boards, community channels, and referral networks, Other scalable on-demand talent channels
• Build and grow the crowdsourcing channel
• Scale Mindy Support’s crowdsourcing delivery model across new geographies, talent pools, languages, and service lines.
• Build and maintain a large, engaged community of active contributors.
• Establish contributor segmentation, qualification, onboarding, activation, retention, and re-engagement processes.
• Design operating standards for contributor communication, support, performance management, and quality control.
• Improve the reliability and predictability of crowd-based delivery
• Coach and guide internal recruitment and talent operations teams.
• Build automation and operating infrastructure
• Introduce automation across sourcing, recruitment, contributor onboarding, qualification, communication, scheduling, activation, and reporting.
• Reduce manual coordination in large-scale ramp-ups.
• Select or implement the systems required to manage a distributed global contributor base.
• Create standardized workflows that make project launches faster and more predictable.
• Establish operational systems, metrics, controls, and reliable forecasting
• Build a practical performance-management system covering: Sourcing funnel performance, Conversion rates, Cost per qualified contributor, Cost per hire, Channel effectiveness, Time to source, Time to ramp, Contributor quality, Contributor utilization, Retention and reactivation, Candidate and contributor NPS, Partner performance, Capacity by geography, language, and skill set
• Forecast demand versus available supply and other business metrics
• Establish and continuously improve internal processes related to the field

Benefits

• Competitive compensation
• Opportunity to build a strategic business capability from an early stage
• Work on large-scale projects supporting leading global AI companies, in an environment that values ownership, clear thinking, and practical execution

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed