Tiger Analytics

Director

• Own end-to-end delivery of the Plant Performance Reporting transformation program.
• Serve as the primary point of contact for executive business stakeholders program sponsors, and IT leadership.
• Lead overall program governance, steering committee meetings, executive status reviews, risk management, and delivery planning.
• Develop and manage integrated project plans covering data engineering reporting, validation, UAT, deployment, and change management.
• Coordinate rollout across multiple manufacturing plants while managing dependencies related to data readiness, business priorities, and technical delivery.
• Drive alignment between Supply Chain Finance, Manufacturing, Plant Controllers, Regional Leadership, and Enterprise IT.
• Oversee productionalization of the existing reporting framework into an enterprise-scale Power BI platform.
• Ensure successful implementation of standardized KPIs, reporting frameworks, and governance processes across plants, pods, and regional leadership.
• Partner with Data Engineering teams to prioritize data quality remediation, Snowflake integration, and reporting readiness.
• Coordinate business validation, user acceptance testing, production deployment, and hypercare activities.
• Track program milestones, budget, risks, dependencies, and executive action items.
• Ensure consistent communication across onshore client teams and offshore delivery teams.
• Drive adoption through stakeholder engagement, training coordination, and organizational change management.
• Identify opportunities to improve delivery processes, reporting maturity, and future analytics capabilities.

Associate Director – Engagement Lead

AI Engineer

• Build high-performance API services and implement complex RAG and Agentic AI architectures.
• Design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.
• Optimize latency and relevance to ensure production-grade performance.
• Develop autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
• Manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
• Assess performance, grounding accuracy, and hallucination detection using evaluation frameworks (e.g., RAGAS, TruLens).

Gen AI Engineer

Data Scientist

• Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
• Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
• Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
• Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
• Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
• Monitor model performance, retrain models, and optimize algorithms for production environments.
• Mentor junior data scientists and provide technical leadership across the project.
• Ensure compliance with healthcare data privacy and governance standards.

Lead Data Scientist – Healthcare

Solutions Engineer

• Lead enterprise-scale modernization and digital transformation initiatives.
• Engage with CXO-level stakeholders to define future-state architectures.
• Drive solutioning approaches and enterprise decision-making.

Infrastructure Solution Architect

Client Partner

• As a client partner, you will have overall responsibility for delivery, account management, client relationships, and account growth.
• You will be responsible for demonstrating business value through solutions that help meet strategic, operational, and tactical objectives, and making executive presentations.
• You will be responsible for scaling the pilots / POCs to a long-term transformative program and delivering continuous business value.
• You will work with the client’s business stakeholders to understand key business questions, challenges, and information needs, and help develop an analytics roadmap that identifies and prioritizes key analytics use cases for execution.
• You will be collaborating with sales leaders (both new sales and account sales) to create the right POVs and proposals to help win new logos and drive growth in existing clients.
• You will work on some of the latest data science applications to solve complex business problems in Consumer Product Goods (CPG) and Retail.
• You will lead a team of data and analytics professionals and directly work with key client stakeholders to help define the business problem and determine solution requirements.

Director – Client Partner

LLM Engineer

• Drive the on-site deployment, integration, and scaling of enterprise Generative AI solutions.
• Embed directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP).
• Bridge the gap between AI research and production-grade cloud infrastructure.
• Collaborate with cross-functional teams and business partners to leverage analytical skills and ensure business value.

Forward Deployed Engineer, Generative AI

• Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
• Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
• Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
• Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
• Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
• Select appropriate model architectures based on enterprise use cases
• 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

Senior Data Scientist – GenAI, NLP

• Responsible for designing, implementing, and governing enterprise Master Data Management solutions.
• Lead the design and implementation of MDM solutions for Commercial domains (HCP, HCO, Affiliation, Product, Territory, Customer hierarchies).
• Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows.
• Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements.
• Configure and manage Informatica MDM including data models, match rules, trust frameworks, and hierarchies.
• Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS.
• Define and enforce data quality rules, KPIs, and exception handling.
• Act as a subject matter expert for Commercial master data.
• Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams.
• Engage senior stakeholders to align data standards, priorities, and roadmap.
• Provide thought leadership on MDM best practices and operating models.

Director – MDM Lead, Pharma – Lifesciences

• 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

• Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
• Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
• Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
• Perform large-scale data extraction, transformation, and analysis using SQL
• Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
• Translate business problems into analytical solutions.
• Present model insights and recommendations to senior client stakeholders.
• Lead workshops and forecasting strategy discussions with clients.
• Implement and operationalize models in cloud environments
• Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Senior Data Scientist – Forecasting

Data Analyst

• - Lead the end-to-end delivery of pricing and profitability analytics models for credit card portfolios.
• - Partner directly with senior business leaders in the Credit Risk, Pricing, and Profitability domains to understand business objectives and translate them into analytical solutions.
• - Drive client engagement, manage stakeholder expectations, and present insights and recommendations to executive leadership.
• - Lead and mentor offshore analytics teams, ensuring high-quality deliverables and timely project execution.
• - Oversee model development, validation, implementation, and continuous improvement while maintaining strong governance and quality standards.
• - Collaborate with cross-functional teams, including business, product, data engineering, and technology, to deliver scalable analytical solutions.

Senior Manager – Credit Card Pricing, Profitability Analytics

Medical Director

• 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.
• If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.
• Responsibilities**Program Leadership & Delivery: **Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.
• **Stakeholder Management: **Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.
• **Global Team Management**: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.
• **Solution Architecture:** Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack
• **Domain Expertise:** Apply deep Medical device domain knowledge to validate model outputs and ensure they align with industry nuances
• **Commercial Impact:** Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

Associate Director, Director – Analytics Consulting, Medical Device

Pricing Analyst

• Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
• Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• Responsible for account management, client relationships, and account growth
• Responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
• Experience leveraging complex data to drive business decisions
• Hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization
• Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo
• Experience working with all levels of management and consulting with key business stakeholders
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
• Explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth
• Responsible for P&L for your account portfolios managing revenue and margin goals

Associate Director – Commercial Analytics, Pharma & Lifescience

• Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows.
• Document current-state and target-state architecture for Martech consolidation initiatives.
• Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms.
• Define unified data and business process flows across the ecosystem.
• Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations.
• Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives.
• Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions.
• Contribute to implementation planning, sequencing, and governance for consolidation workstreams.
• Produce clear architecture documentation, decision logs, and dependency views to support execution teams.

Martech Solution – Enterprise Architect

Advisor

• Design and deliver high-quality, scalable Tableau dashboards aligned to business priorities
• Translate stakeholder needs into structured analytics solutions and intuitive visual experiences
• Act as a trusted advisor to business and leadership teams, shaping data-driven decisions
• Champion data visualization best practices, design standards, and governance frameworks
• Lead enablement efforts (training, mentorship, playbooks) to scale Tableau adoption
• Partner with data teams to ensure robust data models, semantic consistency, and performance optimization