Dany Bilz

A highly empathetic and results-driven leader with over 7 years of experience in building and scaling high-performing teams. Specializes in process optimization, strategic team design, and cross-functional collaboration to drive efficiency and achieve organizational goals. Expertise includes remote operations leadership, effective customer lifecycle management, and fostering environments that promote people development and talent mobility.

Adept at problem-solving, managing complex projects, and leveraging strong communication skills to build robust relationships and ensure smooth operational continuity in dynamic environments.

Program Manager, Annotations at Motive (2022-04 – Present)

Oversee the full lifecycle of both live and offline AI data annotation projects from initial planning to final delivery. Lead a multi-layered team of over 320 members including team leads, associate managers, and coordinators. Serve as the primary bridge between the annotations team and departments like Operations, Product, R&D, HR, and Tech Support.

• Program Leadership & Strategy: Oversee the full lifecycle of both live and offline AI data annotation projects from initial planning to final delivery, ensuring that high-quality, structured data is delivered to Customers, R&D and Product teams on time. Align team goals with broader organizational OKRs.
• Project Planning & Execution: Work closely with internal stakeholders to understand annotation needs and turn them into actionable project plans. Define clear scopes, set timelines, allocate resources, and manage execution.
• Cross-Functional Collaboration: Serve as the primary bridge between the annotations team and departments like Operations, Product, R&D, HR, and Tech Support. Ensure open lines of communication and resolve roadblocks quickly.
• Team Leadership & Growth: Lead a multi-layered team of over 320 members including team leads, associate managers, and coordinators. Foster a culture of ownership, accountability, and growth.
• Process Development & Optimization: Build and refine scalable processes for recruitment, onboarding, training, task assignment, annotation, and quality assurance.
• Scaling & Remote Operations: Scaled the team from 20 to over 320 members. Successfully transitioned the entire team to remote work during COVID.
• Reporting & Insights: Track progress and team performance through dashboards and regular reporting. Provide actionable insights to leadership.
• Customer-Focused Delivery: Partnered with technical support and product teams to resolve client escalations swiftly and effectively. Maintained high levels of customer satisfaction.

Project Coordinator – AI Data Projects at Motive (2018-10 – 2022-04)

Collaborated with cross-functional stakeholders to define project scope, success metrics, and expected deliverables for AI data annotation tasks. Analyzed project requirements and translated them into detailed execution plans.

• Collaborated with cross-functional stakeholders, including R&D teams, to define project scope, success metrics, and expected deliverables for AI data annotation tasks.
• Analyzed project requirements and translated them into detailed execution plans with clear timelines, milestones, and resource estimates.
• Locked project timelines and deliverables with points of contact (POCs), ensuring alignment between internal capabilities and external expectations.
• Allocated resources efficiently based on project complexity, priority, and skill requirements, balancing capacity with deadlines.
• Developed and implemented structured annotation workflows, quality assurance mechanisms, and review processes to ensure high-quality, scalable data output.
• Conducted daily and weekly progress tracking, maintained documentation, and escalated blockers in a timely manner to keep projects on schedule.
• Delivered clean, validated datasets to R&D teams for training, testing, or validation of AI models.

Bachelor of Science in Computer Science – Institute of Management & Sciences, Lahore (2013 – 2017)