Tiger Analytics

Director

• - Lead end-to-end delivery of data science and advanced analytics solutions in the commercial pharma domain.
• - Design and implement Next Best Action (NBA) models to optimize customer engagement and decision-making.
• - Develop and scale omnichannel analytics frameworks, integrating data from multiple touchpoints (CRM, digital, field, marketing).
• - Partner with business stakeholders (Sales, Marketing, Market Access) to translate business problems into analytical solutions.
• - Drive customer segmentation, targeting, personalization, and campaign optimization strategies.
• - Build predictive models (propensity, churn, response, uplift modeling) to enhance commercial performance.
• - Oversee data pipelines, model deployment, and monitoring in production environments.
• - Mentor and lead a team of data scientists and analysts.
• - Collaborate with data engineering teams to define data architecture, data quality standards, and governance frameworks for analytics use cases.
• - Ensure alignment with regulatory and compliance standards within pharma.

Director – Omnichannel & Commercial Pharma

• Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
• Own the end-to-end commercial data product for a kidney launch, from vision to execution.
• Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
• Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
• Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
• Ensure strong Power BI semantic model understanding (measures, relationships, performance).
• Enable self-service analytics through well-designed datasets—not dashboards alone.
• Establish KPI governance, adoption tracking, and success metrics for the product.
• Lead a small cross-functional pod (data engineers, analysts).
• Operate in an agile delivery model with clear sprint outcomes and executive visibility.
• Act as the primary interface between business stakeholders and the technical team.

Senior Manager – Commercial Data Product, Pharma, Life Science

Financial Planning and Analysis

• Analyze trends in key performance indicators – revenue, costs, and utilization – to surface timely, actionable insights
• Partner with client partners and delivery leaders on margin improvement initiatives
• Build and maintain financial models, planning infrastructure, and reporting frameworks to support the firm’s growth
• Conduct scenario analyses and cost-benefit assessments to inform strategic investment decisions
• Translate complex financial data into clear, concise recommendations for senior management
• Prepare monthly financial reporting packages, variance analyses, and executive-ready MIS reports for senior leadership

FP&A Leader

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
• Design and develop **machine learning and Generative AI solutions** using Databricks and Azure AI services.
• Build **LLM-powered applications** and orchestrate workflows using **LangGraph**
• Develop **agentic AI workflows** for automation, insights generation, and decision support
• Implement **Document Intelligence solutions** for extracting insights from unstructured data
• 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

Senior Data Scientist – GenAI

• Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
• We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
• We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
• **Key Responsibilities:**
• - Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• - Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• - Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
• - Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
• - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• - Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• - Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Senior Data Scientist – Operation Research

• - Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• - Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• - Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
• - Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
• - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• - Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
• - Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
• - Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• - Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Data Engineer

• Spearhead the development and deployment of complex data infrastructure.
• Ensure high-quality data availability for analytics and AI initiatives.

Data Engineering Lead

• Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain.
• Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs.
• Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector.
• Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions.
• Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks.
• Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness.
• Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration.

Associate Director/Director – Tech Consulting, Pharma, Lifesciences

Manager

• Manages the monthly Steering Committee and weekly project planning sessions to ensure strategic alignment with client's scaling goals
• Facilitates issue resolution through effective escalation channels between client leadership and Tiger’s offshore execution teams.
• Oversees fixed-price commercial milestones
• Ensures the engagement delivers the "Metric Truth" by standardizing corporate KPIs within the semantic layer.
• Translate complex and ambiguous datasets into clear, actionable insights and strategic recommendations
• Act as a trusted advisor to client stakeholders, driving data-informed decision-making
• Ensure high standards of data quality, integrity, and clarity in all deliverables

Manager – Sr Manager, BI Transformation

DevOps Engineer

• The **Forward Deployment Engineer (FDE)** drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions.
• This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP).
• You will bridge the gap between AI research and production-grade cloud infrastructure.
• You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Forward Deployment Engineer – Gen AI

• The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions.
• This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP).
• You will bridge the gap between AI research and production-grade cloud infrastructure.
• You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Forward Deployment Engineer, Generative AI

• 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 the robustness of the solution and how it could help generate business value.
• Responsible for managing analytics projects, and 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 developing plans to help operationalize the analytics solution.

Senior Manager – Analytics Consulting

Data Analyst

• 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
• 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

Senior Consultant – Data Analyst/Business Analyst

Affiliate Manager

• Provide Thought Leadership and Client Engagement.
• Liaise with data leaders at strategic clients for advisory and insights.
• Hold educational forums to share thought leadership with core clients.
• Conduct client platform and practices reviews with improvement recommendations.
• Provide technology leadership for transformation agendas rooted in Data and Insights.
• Recruit key talent for client technology roles.
• Create technology solutions for complex initiates.
• Engage in pre-sales and new business development.
• Present Tiger capabilities to new prospects.
• Develop solutions and proposals for client requirements.
• Mentor Engineering Talent at different levels and manage architect resources.
• Create thought leadership content for market offerings.

Technology Partner – Consumer Packaged Goods, CPG

Strategy

• Lead bi-weekly allocation performance reviews with brand planning teams, covering service level, sales, GM$, GM%, GMROI, sell-through, and allocation accuracy.
• Present KPI diagnostics with root-cause analysis: not just “what happened” but “why it happened” and “what we’re doing about it.”
• Produce quarterly business reviews for executive leadership that synthesize allocation performance trends and strategic recommendations.
• Leverage existing dashboards and alerting tools to monitor allocation outcomes across all brands at the store-SKU level.
• Where tools are lacking, work with technical team to get the artifact built or enhanced.
• Identify emerging issues before they become problems: sell-through falling behind pace, inventory building in the wrong stores, stockout patterns that signal a model or grading issue.
• Decompose KPI misses into demand-side drivers (forecast accuracy, trend shifts) and supply-side drivers (misallocation, replenishment lag, pack constraints) to pinpoint actionable root causes.
• Analyze outcomes across product lifecycle types (basics, seasonal basics, fashion) and tailor diagnostic frameworks to each.
• Translate diagnostic findings into specific vendor improvement tickets with clear success criteria — push the vendor to improve their model where the data warrants it.
• Define requirements for in-house diagnostic tools and work with the technical team to prioritize development.
• Advise brand planning teams on allocation strategy decisions: store eligibility, DC holdback levels, size curve adjustments, replenishment throttling for end-of-season.
• Own the vendor accountability framework: maintain the RACI, track vendor action rates, and escalate when commitments are not met.
• Operate on a proactive communication cadence: reach out to stakeholders with findings and recommendations, don’t wait for them to ask.
• Build trust as a fiduciary partner — the brands should believe you are watching their business and will advocate for their outcomes.
• Manage the narrative during the transition from the prior consulting model: demonstrate early wins, set realistic expectations, and build confidence in the new capability.

Director – Omnichannel & Commercial Pharma

Senior Manager – Commercial Data Product, Pharma, Life Science

FP&A Leader

Senior Data Scientist – GenAI

Senior Data Scientist – Operation Research

Senior Data Scientist – Operation Research

Data Engineering Lead

Associate Director/Director – Tech Consulting, Pharma, Lifesciences

Manager – Sr Manager, BI Transformation

Forward Deployment Engineer – Gen AI

Forward Deployment Engineer, Generative AI

Senior Manager – Analytics Consulting

Senior Consultant – Data Analyst/Business Analyst

Technology Partner – Consumer Packaged Goods, CPG

Strategy Consultant – Allocation & Replenishment