Tiger Analytics

Business Operations

• The Process Consultant will be responsible for detailed current state analysis and data capture, working closely with underwriting teams and subject matter experts.
• Leading current state process mapping of underwriter desktop and application usage through direct observation and structured discussions.
• Documenting workflows, navigation paths, handoffs, and system interactions in a clear and consistent manner.
• Coordinating and executing time and motion studies, including data collection and validation.
• Reviewing existing standard work and operating procedure documentation to understand intended workflows and identify gaps versus actual practice.
• Developing and maintaining core process artifacts, including SIPOC diagrams, value stream maps, and control frameworks.
• Collaborating with subject matter experts to validate findings, confirm assumptions, and obtain formal signoff on documented processes and insights
• 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
• Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
• 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

Business Process Consultant – Analytics Consulting

Operations

• Own and optimize end-to-end pricing operations, governance, and execution.
• Design and implement scalable pricing frameworks (dynamic pricing etc.).
• Collaborate with Market Teams and other Pricing Strategic Advisors to operationalize pricing strategy.
• Build and streamline workflows across the engine offerings for margin optimization and pricing intelligence.
• Ensure pricing compliance, data integrity, and audit readiness.
• Define and drive technology roadmap aligned with pricing and business strategy.
• Architect scalable, secure solutions on AWS / GCP.
• Lead solution architecture reviews and ensure adherence to best practices.
• Evaluate emerging technologies (Agentic AI, LLMs, automation frameworks) for business adoption.
• Guide build vs. buy decisions and vendor evaluations.
• Design and oversee pricing models using statistical modeling and machine learning.
• Implement predictive and prescriptive analytics for pricing optimization.
• Lead development of AI-powered tools (e.g., store segmentation, price elasticity modeling, margin and revenue constrained optimization).
• Drive adoption of Agentic AI systems for autonomous decision support, pricing simulations, and workflow automation.
• Collaborate with data engineering teams on data pipelines, feature stores, model deployment and monitoring.
• Oversee full SDLC: architecture, design, development, testing, and deployment.
• Establish best practices in code quality, CI/CD, DevOps, and cloud-native development.
• Lead cross-functional engineering teams and external partners.
• Ensure high availability, scalability, and performance of pricing platforms.
• Implement APIs and microservices architecture to integrate pricing systems with ERP/CRM platforms.
• Act as the bridge between business stakeholders and technical teams.
• Liaison and drive technology architecture and strategy working with senior technical client team
• Translate complex business pricing requirements into technical designs.
• Present technology and pricing insights to leadership.
• Mentor junior consultants and analysts.
• Drive change management and adoption across the organization.

Senior Manager – Technology Strategy, Pricing Operations

Data Scientist

• - 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 analytic 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

Manager – Data Science

Technical Program Manager

• Bridge the gap between business strategy and AI execution.
• Responsible for translating ambiguous business problems into technical requirements.
• Align cross-functional stakeholders.
• Perform hands-on data discovery needed to fuel AI models.

Technical Program Manager – AI Initiatives

QA Engineer

• Own and drive end-to-end sales cycles for large QE opportunities (USD 5M+)
• Consistently achieve and exceed annual QE revenue targets
• Build and maintain a strong pipeline of exclusive and sole-sourced QE deals
• Drive long-term managed services, annuity-based, and transformation-led QE engagements
• Collaborate with the account Client Partners and enabled channels for QE
• Create RFP, RFI, and RFQ responses for QE opportunities
• Shape differentiated QE solution strategies covering automation, AI-driven QE, QE for AI, performance engineering testing, data testing, and continuous testing
• Drive pricing, commercials, value engineering, and deal structuring
• Collaborate closely with capability/practice and delivery teams to create winning proposals
• Build trusted advisor relationships with CXOs, CIOs, CTOs, Heads of Engineering, and Quality Engineering Leaders
• Act as executive sponsor for strategic QE accounts
• Lead executive presentations and contract negotiations
• Position QE as a business enabler and AI-led transformation driver
• Represent the organization in industry QE forums, conferences, roundtables, and client events
• Publish thought leadership content, including blogs, whitepapers, and articles on Quality Engineering, AI in testing, and digital quality trends
• Partner with the India practice & capability team and marketing teams on QE branding, campaigns, analyst interactions, and GTM initiatives
• Contribute to QE marketing strategies and market messaging
• Identify emerging QE trends and influence service offerings and roadmap with the capability development team

Client Partner – Quality Engineering

Business Analyst

• Engage proactively with client stakeholders to gather, analyze, and document **technical and business requirements**
• Facilitate workshops, meetings, and discussions to understand **data flows, system integrations, and process dependencies**
• Translate business needs into **clear functional and technical specifications**
• Collaborate closely with engineering, architecture, and program management teams to drive delivery
• Support **program and project management** activities including planning, tracking, and risk management
• Create and maintain **process flows, system diagrams, and architecture visuals** using **Microsoft Visio**
• Provide insights and recommendations aligned with **AWS-based solutions and cloud best practices**
• Ensure requirements traceability throughout the project lifecycle
• Communicate effectively across technical and non-technical audiences

Technical Business Analyst

• Design, develop, and deploy advanced forecasting models (ARIMA, SARIMA, Prophet, and other time series techniques) for healthcare-related use cases including PMPM forecasting.
• Analyze structured and large-scale healthcare datasets (claims, membership, utilization, cost data) to generate actionable insights.
• Build scalable, production-ready ML pipelines and automate forecasting workflows.
• Perform model validation, back-testing, hyperparameter tuning, and performance monitoring to ensure accuracy and stability.
• Translate business problems into data science solutions and clearly communicate findings to clients and stakeholders.
• Lead end-to-end project execution, mentor junior data scientists, and ensure best practices in modeling and MLOps.
• Collaborate cross-functionally with engineering, product, and business teams to drive data-driven decision-making.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Lead Data Scientist

AI Engineer

• Building high-performance API services
• Implementing complex RAG and Agentic AI architectures

Full Stack Gen AI Engineer

Consultant

• Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Senior Consultant/Manager - Analytics Consulting - Banking

• Work in consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Senior Consultant/Manager – Analytics Consulting, Banking

• Work in consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Scrum Master

• Managing multiple projects across data science and IT initiatives.
• Acts as project manager - monitoring the program from initiation through delivery, including planning and directing schedules.
• Gathers input from the project team and develops a plan independently for projects of moderate to significant scope, which may include novel products or services.
• Uses established tools, approaches/methodologies, and templates to guide and document the plan and communicate it to the team.
• Gathers feedback from the team to revise and complete the plan as needed.
• Oversees the work of the project team (indirectly supervises), involving members from a wide range of disciplines.

Project Manager – Scrum Master

• Acts as project manager - monitoring the program from initiation through delivery, including planning and directing schedules.
• Gathers input from the project team and develops a plan independently for projects of moderate to significant scope, which may include novel products or services.
• Uses established tools, approaches/methodologies, and templates to guide and document the plan and communicate it to the team.
• Gathers feedback from the team to revise and complete the plan as needed.
• May lead multiple limited-to-moderate scope projects simultaneously, or manage part of a larger program directly or through oversight of less senior program managers.
• Oversees the work of the project team (indirectly supervises), involving members from a wide range of disciplines, including application engineering.

Project Manager, Scrum Master

• Develop and implement comprehensive fraud detection and prevention analytics strategies tailored to the B2B(Distribution / Manufacturing, Transportation, Supply Chain) industry.
• Translate client requirements into actionable analytics solution designs and provide clear communication on project scope and deliverables.
• Utilize advanced statistical methods and machine learning algorithms to build predictive models.
• Present findings and recommendations to senior management, emphasizing the value and impact of analytics solutions on client operations.
• Manage end-to-end analytics projects, ensuring timely delivery and adherence to best practices.
• Supervise and mentor team members, fostering a collaborative environment that encourages innovation.

Senior Consultant – Analytics, B2B

Product Manager

• Own and execute the product vision, strategy, and roadmap for AI-enabled solutions.
• Define ‘what’ and ‘why’ the platform should build, and what business and user problems it will solve
• Define and track product OKRs and KPIs, and drive the team to achieve them
• Drive GTM (go to market) excitement and awareness of our platform across all enterprise teams at RBC
• Collaborate closely with engineering and data science teams to build, validate, and showcase POCs and demos.
• Translate business problems into clear product requirements and user stories.
• Communicate product strategy, progress, and outcomes to senior leadership and key stakeholders.
• Ensure products align with BFS regulatory, compliance, and risk considerations.

Business Process Consultant – Analytics Consulting

Senior Manager – Technology Strategy, Pricing Operations

Manager – Data Science

Technical Program Manager – AI Initiatives

Client Partner – Quality Engineering

Technical Business Analyst

Lead Data Scientist

Full Stack Gen AI Engineer

Senior Consultant/Manager - Analytics Consulting - Banking

Senior Consultant/Manager – Analytics Consulting, Banking

Senior Consultant/Manager - Analytics Consulting - Banking

Project Manager – Scrum Master

Project Manager, Scrum Master

Senior Consultant – Analytics, B2B

AI Product Manager – Banking