Company Description Digital Divide Data (DDD) provides machine learning (ML) data operations support including Human-in-the-loop for large language models (LLMs) and autonomous systems. We specialize in AI/ML model training and annotation services, trusted by Fortune 500 companies and industry leaders in technology, defense, AgTech, and cultural heritage. Our comprehensive solutions encompass fleet operations, navigation maps, ML model development, data analytics, simulation, and product verification and validation (V&V). Established in 2001, DDD’s Impact Sourcing model empowers talented youth from low-income backgrounds, offering educational and professional opportunities across Cambodia, Laos, and Kenya, contributing to over $250 million in additional income. Recognized globally for innovation and social impact, we have received prestigious awards such as the Global Sourcing Council’s 3S Award and the Google Award for Innovation in Business Process Outsourcing (BPO). Role Description Six Sigma Black Belt / Data Analyst Manager (BPO Back-Office) (IC role) Location: India (remote) | 100% Work-from-home Key Responsibilities Lead and drive continuous improvement projects across BPO back-office operations using Six Sigma and Lean methodologies. Analyze business processes, identify inefficiencies, and recommend data-driven solutions to optimize performance. Conduct root cause analysis (RCA) for operational issues and implement corrective/preventive actions. Define, measure, and monitor key performance indicators (KPIs) to ensure operational excellence. Partner with cross-functional teams to identify opportunities for automation and process standardization. Facilitate workshops, training, and mentoring sessions to develop a Six Sigma culture across teams. Prepare detailed reports, dashboards, and presentations for senior management on project progress and outcomes. Ensure compliance with quality, risk, and governance frameworks within BPO operations. Required Qualifications & Skills Certified Six Sigma Black Belt or Data Analyst (mandatory) Proven experience in data analysis, process re-engineering, and operational excellence within BPO back-office environments. Strong analytical and problem-solving skills with expertise in statistical analysis. Advanced proficiency in Excel, PowerPoint, and data visualization tools. Excellent communication and stakeholder management skills. Ability to influence and drive change across diverse teams and functions. Strong knowledge of BPO industry metrics (AHT, SLA, FTR, Quality scores, etc.). Preferred Experience 8-12 years of relevant work experience in BPO operations, process improvement, or data analytics. Experience in handling global stakeholders and managing cross-border projects. Exposure to automation tools and AI/ML applications in process improvement. Track record of delivering measurable cost savings, efficiency gains, and customer satisfaction improvements.