• managing a team of employees that supervises the activities of our Field Technician contractors in hyperscale pods across the United States • building relationships with third-party system integrators (SIs) used for deployment and maintenance activities as well as overseeing the work • building relationships with large-scale data center providers for new deployments and ongoing operations • conducting inventory control on local spare parts, including RMA coordination for defective parts • coordinating with Compliance team on access list management for assigned data centers • maintaining 24x7 staffing and escalation path to address network incidents and SLA adherence • evaluating and adapting our training curriculum to the specific needs of hyperscale pods • coordinating the staffing of Field Technicians at our hyperscale pods

• Lead and execute data support projects, ensuring quality, timelines, and stakeholder expectations are met. • Define, track, and act on performance metrics to improve team output and effectiveness. • Review and refine processes to improve efficiency, consistency, and scalability. • Ensure adherence to standard operating procedures and maintain accurate documentation. • Identify opportunities for automation and process enhancement. • Coordinate work across teams and escalate issues appropriately. • Align team activities with strategic goals and ensure progress is tracked and communicated. • Develop team capabilities through training, mentoring, and performance management. • Manage workload prioritization, staffing needs, and resources

Role Description - Analyze and support market risk and credit risk models - Understand and validate market data inputs and data anomalies - Interpret and explain risk model outputs and calculations - Be responsible for regular model calibration processes, including back testing and analyzing results, and authorizing publication - Collaborate with quant managers, risk teams, and developers - Contribute to development and support of risk technology platforms Qualifications - Post Graduate degree in mathematics/Statistics/Physics with min 2yrs of relevant work experience and certification in risk management like FRM or PRM - Master’s degree in quantitative finance - MBA or PG Diploma in management with good understanding of financial markets and products Requirements - Strong quantitative and mathematical background - Experience in market risk / credit risk modeling or analytics - Hands-on experience with risk models and financial data - Working experience with SAS or similar analytics tools - Strong communication skills to explain quantitative results Benefits - We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized - We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace

• Build and validate ML models supporting pricing, promotion, and markdown optimization. • Contribute to GenAI initiatives — Build vertical-domain agents and agent clusters. • Partner with Data Engineering to build robust, production-grade data pipelines. • Perform exploratory data analysis and translate retail/CPG data into actionable insights. • Build dashboards and visualizations to communicate findings to product and business stakeholders. • Participate in code review, model validation, and documentation practices. • Develop scalable feature engineering workflows over large retail datasets.