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Home Jobs Nairobi Aviation Pilot Team Supervisor

Aviation Pilot Team Supervisor

Digital Divide Data  · Consulting

Full Time Nairobi
Nairobi
Deadline: 15 September 2026
Posted June 17, 2026

Job Description

We cultivate and nurture strategic alliances with key clients while developing customized solutions to address their unique business challenges. This role involves collaborating closely with sales and delivery teams to ensure client expectations are met, and long-term partnerships are established. Responsibilities include analyzing client needs, designing tailored solutions, and presenting proposals that align with organizational objectives. Strong interpersonal skills, problem-solving abilities, and a customer-centric mindset are essential for success in this position.

Facilitate client discovery sessions to comprehensively assess dataset requirements, established workflow protocols, and machine learning goals.

Transform client requirements into structured workflows, detailed annotation guidelines, comprehensive taxonomies, and robust quality frameworks.

Offer clients timely delivery updates, actionable performance insights, and strategic workflow recommendations to enhance operational efficiency and satisfaction.

Facilitate the definition of solution parameters, deliver product demonstrations, contribute to proposal development, and address client inquiries to ensure clarity and alignment with requirements.

Explore avenues to enhance or broaden current programs.

Program Delivery Management encompasses the end-to-end oversight of project execution, ensuring alignment with strategic objectives while maintaining quality, timelines, and budgetary constraints. This role involves coordinating cross-functional teams, mitigating risks, and fostering stakeholder engagement to drive successful project delivery. Key responsibilities include defining program scope, developing detailed plans, monitoring progress, and reporting on key performance indicators to senior leadership. Additionally, the position requires strong analytical skills to assess project risks, optimize resource allocation, and implement corrective actions as needed.

Manage and supervise the ongoing implementation of assigned projects within AI/ML, Computer Vision, AV/ADAS, and related data workflows on a daily basis.

Deliver consistently against established KPIs, SLAs, accuracy benchmarks, throughput targets, quality standards, and scheduled timelines.

Oversee the processes involved in onboarding new team members, ensuring smooth integration and alignment with organizational standards. Lead the calibration of tools and methodologies to maintain accuracy and consistency across projects. Spearhead updates to guidelines to reflect current best practices and compliance requirements. Facilitate workflow transitions to enhance operational efficiency and adaptability. Coordinate production readiness to ensure seamless deployment and sustained performance.

Collaborate closely with Delivery Leads to oversee staffing levels, deliver comprehensive training programs, ensure tool readiness, and maintain operational consistency across all processes.

Ensure meticulous documentation and transparent process controls are consistently upheld across all teams.

We are seeking a seasoned professional to oversee quality assurance, data-driven analytics, and performance optimization initiatives. The ideal candidate will develop and implement robust frameworks to monitor and enhance operational standards, ensuring consistent delivery of high-quality outcomes. Responsibilities include analyzing performance metrics, identifying trends, and recommending strategic improvements to drive efficiency and productivity. Additionally, the role requires collaborating across departments to align quality goals with organizational objectives, fostering a culture of continuous improvement and accountability. Strong analytical skills, proficiency in data interpretation, and experience in performance management are essential for success in this position.

Develop and oversee reports and dashboards to monitor accuracy, productivity, error patterns, system latency, and overall program effectiveness.

Perform comprehensive root-cause analysis to identify the underlying factors contributing to quality issues, then collaborate closely with the Quality Assurance and Training teams to develop and implement effective corrective measures.

Leverage data-driven insights to enhance annotation accuracy, minimize rework, and optimize overall delivery performance.

Deliver concise performance updates to both clients and internal stakeholders, ensuring transparency and clarity in all communications.

Cross-functional collaboration entails active participation with diverse teams across departments, ensuring seamless integration of ideas, resources, and expertise to achieve shared objectives. This role requires the capacity to bridge gaps between varying perspectives, fostering an environment of mutual respect and collective problem-solving. Strong interpersonal skills are essential for building rapport with stakeholders, while adaptability enables effective navigation of differing priorities and workflows. The incumbent will be responsible for aligning cross-team efforts, facilitating open communication channels, and driving cohesive outcomes that advance organizational goals.

Collaborate closely with Quality Assurance, Training, Delivery, Technical Operations, Business Development, and client-facing teams to ensure alignment and streamline cross-functional workflows.

Facilitate the implementation of pilot configurations, conduct rigorous workflow evaluations, refine established guidelines, implement schema modifications, and update ontologies as required.

Redrafted:
Facilitate clear communication of revised instructions and quality benchmarks to delivery teams, ensuring accurate comprehension and application.

We are seeking a dedicated Continuous Improvement professional to drive operational excellence and foster a culture of ongoing enhancement. In this role, you will lead initiatives to identify inefficiencies, streamline processes, and implement data-driven solutions that elevate performance and productivity. Your responsibilities will include analyzing workflows, collecting and interpreting performance metrics, and collaborating with cross-functional teams to execute improvement strategies. Proficiency in methodologies such as Lean, Six Sigma, or Agile is essential, along with strong problem-solving skills and the ability to influence stakeholders at all levels. A bachelor’s degree in a relevant field and prior experience in process optimization are required to succeed in this position.

Leverage data trends, client feedback, and team insights to identify and implement workflow enhancements.

Investigate and implement automation solutions, including pre-labeling processes, AI-assisted annotation tools, automated quality control measures, and enhanced audit methodologies.

Facilitate uniform methodologies, foster robust calibration processes, and drive ongoing enhancements across all programs.

Bachelor’s degree in Computer Science, Engineering, or a related field is required, along with a minimum of five years of professional experience in software development, preferably using C++, Java, or Python. Proficiency in algorithm design, data structures, and system architecture is essential, alongside strong problem-solving skills. Familiarity with Agile methodologies, DevOps practices, and cloud services (such as AWS, Azure, or GCP) is highly desirable. Excellent communication abilities to collaborate effectively within cross-functional teams and a commitment to continuous learning are also necessary.

A bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science/AI, Business Operations, or a related discipline is required.

We seek candidates with at least five years of hands-on experience in AI/ML operations, data annotation, technical delivery, program management, BPO, or comparable operational fields.

Proficiency in overseeing or assisting annotation workflows, AI data pipelines, computer vision applications, autonomous vehicle/advanced driver-assistance systems (AV/ADAS), robotics, or autonomous systems is strongly preferred.

Experienced professionals with a strong track record in client-facing roles within KPI-driven technical delivery settings are required.

Seasoned professionals with a proven track record in team leadership, escalation management, process optimization, and consistent delivery of quality and productivity objectives are sought.

Qualifications

BA/BSc/HND

Experience Required

5 years

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