• Support forecasting and staffing models by updating inputs, maintaining files, and validating trends. • Build and maintain dashboards and recurring reports for WFM and staffing metrics. • Help automate manual workflows across WFM (reporting, trackers, alerts, data pulls). • Support recruiting and training planning by optimizing the hiring funnel, onboarding throughput, and ramp performance. • Assist with intraday and weekly workforce performance monitoring (volume vs staffing, SLA risk, schedule gaps). • Document processes and create repeatable reporting/automation playbooks. • Interprets data, analyzes results, and provides insights to support data-driven decision-making for ad hoc and on-going reports. • Stay up-to-date with industry technologies and frameworks to identify trends to maintain best and cutting edge practices in AI. • Participate in special projects and initiatives as needed.

Role Description Tiger Analytics is looking for someone with a good blend of business consulting skills and data analytics background. - Work on the latest applications of data science to solve business problems. - Work directly with client stakeholders to translate business problems into high level analytics solution designs. - Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value. - Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. - Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally. - Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights. - Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution. Qualifications - 6-10 years of professional work experience with at least 5 years in data analytics. - Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach. - Solid understanding of statistical and machine learning algorithms. - Strong project management and team management skills and ability to work with global teams. - Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. - Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. - Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. - Graduate in Business Analytics or MBA or equivalent work experience. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

• Architect large-scale GPU clusters within fixed site power budgets that optimizes for maximum GPU density while reserving necessary headroom for compute services, storage, and networking. • Model and validate power consumption across the full cluster bill of materials (GPUs, CPUs, NICs, switches, fabric components, storage, and facility limits). • Evaluate tradeoffs across multiple fabric networking architectures (InfiniBand, RoCE, SpectrumX) as well as multi-plane, 2-tier/3-tier, and rail-optimized topologies. • Determine network scale limits based on switch radix, link speed, topology, and blocking requirements. • Gather, interpret, and maintain detailed SKU-level power and thermal specifications for GPUs, NICs, switches, DPUs, storage, and server platforms. • Develop power-aware cluster configuration templates and capacity-planning models that can scale across sites with varying constraints and allow for quick iteration and ideation. • Document architecture, design choices, tradeoff analyses, and operational considerations for deployment and lifecycle management. • Provide guidance on future-proofing, including the ability to incorporate next-gen GPUs, NICs, or fabrics. • Collaborate with vendors on novel fabric architectures that enable large-scale cluster deployments (100k+ GPUs)

• This role directly reports to and supports the Associate Director of T&O Risk (1B) - Business Risk Advisory and Controls - Testing & Advisory • The candidate will provide independent advisory, oversight, and validation of governance, risk, and control activities that support Enterprise Data Governance and AI Governance • The candidate will also support Product/Service/Process Risk Assessments (PSPRA) and Regulatory Compliance Risk Assessment (RCRA), maintain Process Risk and Control (PRC) libraries and advise on Key Risk Indicators (KRIs) • The role works in close collaboration with First Line of Defense (1LOD) and Regulatory Compliance and Risk-related Second Line of Defense (2LOD) partners to support and strengthen governance and risk management across the enterprise