Tiger Analytics Inc.

Role Description We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in the Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models. Responsibilities - MDM Strategy & Architecture - Lead the design and implementation of MDM solutions for Commercial domains such as HCP, HCO, Affiliation, Product, Territory, and 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. - Informatica MDM & ETL Delivery - Configure and manage Informatica MDM (Multidomain or Customer 360) including: Data models, match rules, trust frameworks, and hierarchies. - Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS (or equivalent) to ingest data from multiple internal and external sources (e.g., IQVIA, OneKey, CRM, ERP). - Ensure performance, scalability, and data quality across large-scale datasets. - Data Quality & Governance - Define and enforce data quality rules, KPIs, and exception handling. - Partner with business and data governance teams to operationalize data stewardship models. - Commercial Pharma Domain Leadership - Act as a subject matter expert for Commercial master data: HCP/HCO identity resolution, affiliations and hierarchies, specialty, address, and territory alignment concepts. - Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams to translate business requirements into scalable MDM solutions. - Leadership & Stakeholder Management - Lead onshore/offshore delivery teams and review technical designs and code. - Engage senior stakeholders to align data standards, priorities, and roadmap. - Provide thought leadership on MDM best practices and operating models. Qualifications - 12+ years of hands-on experience in MDM implementations within Life Sciences / Pharma. - Strong expertise in Informatica MDM (Customer 360 / Multidomain). - Strong experience designing and building ETL pipelines using Informatica or equivalent tools. - Proven experience working with Commercial Pharma data domains (HCP/HCO, affiliations, sales, CRM). 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 have been recognized by various market research firms, including Forrester and Gartner.

Role Description We are looking for an experienced Senior Manager / Lead to join our analytics consulting team and lead the delivery of Pricing & Profitability Models for a leading credit card client. - 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. Qualifications - 10-12 years of experience in analytics, data science, or quantitative modeling within the Banking/Financial Services industry. - Strong experience in modeling, viz, Credit Card Pricing, Profitability Analytics, and Portfolio Analytics. - Robust background in model development, validation, implementation, and continuous improvements. - Proven experience leading analytics engagements and managing end-to-end project delivery. - Excellent client-facing and stakeholder management skills, with experience working directly with senior business leaders. - Experience leading and coordinating offshore teams. - Strong analytical and problem-solving skills with proficiency in tools such as Python and SQL. - Excellent communication, presentation, and leadership abilities. 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.

Role Description Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. - 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 RAG - Build LLM-powered applications leveraging Azure OpenAI 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 Qualifications - 7+ years of experience working as a GenAI Data Scientist - Proficiency in Python and SQL - Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications - Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) - Experience with Bedrock, JumpStart, HuggingFace - Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) - Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning - Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) - Experience developing models from inception to deployment - 5-10 years of professional work experience with at least 5 years in Data Science - Experience building end-to-end ML pipelines in production - Familiarity with CI/CD pipelines, monitoring, and model governance - Ability to design scalable and reliable AI systems - Bachelor's in Business Analytics or equivalent work experience Benefits - Significant career development opportunities exist as the company grows - Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment - High degree of individual responsibility Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. - 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 RAG - Build LLM-powered applications leveraging Azure OpenAI 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 Qualifications - 7+ years of experience working as a GenAI Data Scientist - Proficiency in Python and SQL - Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications - Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) - Experience with Bedrock, JumpStart, HuggingFace - Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) - Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning - Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) - Experience developing models from inception to deployment - 5-10 years of professional work experience with at least 5 years in Data Science - Experience building end-to-end ML pipelines in production - Familiarity with CI/CD pipelines, monitoring, and model governance - Ability to design scalable and reliable AI systems - Bachelor's in Business Analytics 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 provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description 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. - 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 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. Qualifications - 13-15 years of total experience with 7+ years in Medical device domain with consulting. - Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach. - Deep knowledge and understanding of the Medical Device industry, including its unique commercial or operational landscape. - Strong project management and team management skills and ability to work with global teams. - Solid understanding of statistical and machine learning algorithms is a plus. - Strong SQL skills and experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus. - 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 provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description We are looking for a Martech Solution/Enterprise Architect who will provide hands-on architecture and integration support to simplify the Martech estate, reduce tool overlap, improve interoperability, and strengthen alignment between business priorities, data flows, and platform strategy. The ideal candidate will combine architecture depth with practical delivery experience. These roles will help assess the current marketing technology landscape, define target-state architecture, support integration planning, and enable faster execution of consolidation and rationalization of AI driven initiatives. - 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. Qualifications - Strong experience in enterprise architecture, solution architecture, or systems integration roles. - Demonstrated experience supporting platform consolidation, transformation, or rationalization programs. - Working knowledge of Martech ecosystems, customer data flows, marketing automation, digital experience platforms, APIs, and integration patterns. - Ability to work effectively across technical and business teams and communicate clearly with multiple stakeholder groups. - Experience producing architecture artifacts, integration documentation, and implementation guidance. 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.

Role Description We are looking for an Associate / Senior Associate – Delivery Operations to support the Delivery Excellence function through effective operational coordination, staffing data management, and reporting. This role requires strong attention to detail, operational rigor, and the ability to manage high-volume transactional activities that drive accurate cost allocation, workforce visibility, and business insights for senior leadership. - Manage and maintain accurate operational data across internal systems, including CRM/Dossier, ensuring data integrity and consistency. - Execute resource allocation and cost allocation activities while reconciling project information against Statements of Work (SoW) and billing systems. - Act as a primary coordination point between Client Partners (CPs), Offshore Staffing Teams, and FinOps for operational and administrative processes. - Support project setup activities, financial data validation, and resource deployment tracking to ensure seamless delivery operations. - Generate, maintain, and distribute daily, weekly, and monthly operational reports for leadership and stakeholders with high accuracy and timeliness. - Ensure adherence to reporting standards, defined formats, and data quality requirements across all deliverables. - Collaborate effectively with multiple onshore and offshore support functions to streamline operational workflows and manage interdependencies. - Maintain strict governance, confidentiality, and compliance standards while handling sensitive employee and operational data. - Support continuous improvement initiatives by identifying operational gaps, improving reporting efficiency, and enhancing data management processes. Qualifications - Bachelor’s degree in Business, Operations, Finance, Analytics, or a related quantitative field. - 2–4 years of experience, preferably within a professional services or consulting organization. - Willingness to work predominantly in Eastern Time (ET/EST) hours to support collaboration with US/onshore teams, with flexibility for partial overlap with IST as required. - Strong hands-on experience with Microsoft Excel and/or Google Sheets for data manipulation, reporting, reconciliation, and operational tracking. - Proven ability to curate, validate, and manage large datasets with a high degree of accuracy and adherence to defined reporting formats. - Demonstrated experience leveraging AI tools and automation techniques to improve operational efficiency and streamline routine processes. - Excellent written and verbal communication skills with strong organizational and stakeholder management abilities. - Exceptional attention to detail with the ability to perform rigorous follow-ups, audits, and data quality checks. - Strong analytical and problem-solving skills with the ability to identify discrepancies, reconcile operational data, and resolve process-related issues effectively. - Ability to manage multiple operational tasks in a fast-paced, high-volume environment while meeting strict timelines. Benefits - This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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 have been recognized by various market research firms, including Forrester and Gartner.

Role Description We are seeking a highly skilled Tableau Subject Matter Expert (SME) to lead our data visualization strategy. You will design, develop, and optimize complex, high-performance Tableau dashboards. As the SME, you will establish best practices, govern server architecture, and mentor internal teams to foster a data-driven culture. - 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 Qualifications - Advanced Tableau expertise (calculated fields, LODs, performance tuning) - Strong data wrangling & integration skills (SQL, Tableau Prep / Alteryx) - Exceptional data visualization & design thinking (clean, intuitive, user-centric dashboards) - Analytical & problem-solving mindset with ability to generate actionable insights - Executive communication & storytelling skills; ability to influence senior stakeholders - Familiarity with enterprise Tableau environments (Tableau Server / Tableau Cloud, governance, security) Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Role Description We are looking for someone with a strong blend of business consulting skills and data analytics expertise who can bridge the gap between analytics strategy and measurable business outcomes. The ideal candidate will partner with cross-functional stakeholders to design, prioritize, and deliver analytics programs that drive operational and commercial impact. - Work on the latest applications of data science to solve complex business problems. - Work directly with client stakeholders to translate business problems into high-level analytics solution designs and business transformation initiatives. - Present analytical solutions to business audiences, highlighting the robustness of the solution and its potential business impact. - Lead end-to-end delivery of analytics programs, collaborating with client stakeholders and Tiger’s globally distributed teams. - Identify process gaps and redesign workflows to improve efficiency, decision-making, and operational effectiveness. - Drive cross-functional integration by connecting data flows, KPIs, and business processes across functions to enable unified reporting and enterprise-wide analytics adoption. - Facilitate use-case prioritization workshops with business and technology stakeholders and develop analytics roadmaps aligned with strategic priorities and resource constraints. - Define value frameworks, baseline metrics, and ROI measurement methodologies to quantify business impact and articulate the value delivered by analytics initiatives. - Serve as a trusted advisor to executive and VP-level stakeholders, driving alignment, change management, and adoption of analytics-driven decision making. - Establish governance mechanisms and performance dashboards to track program health, business outcomes, and realized value. - Participate in discussions with team members to select and apply relevant analytical techniques and create actionable business insights. - Responsible for making presentations to senior management, communicating results to business teams, and developing plans to operationalize analytics solutions. Qualifications - 15–18 years of professional work experience, with at least 12 years in data analytics, analytics consulting, or business transformation programs. - Ability to engage with executive and VP-level stakeholders to translate business problems into high-level analytics and transformation roadmaps. - Strong consulting, stakeholder management, and problem-solving skills with the ability to influence cross-functional teams. - Experience in program delivery, use-case prioritization, process improvement, and analytics roadmap development. - Strong project management and team management skills with the ability to work effectively with global teams. - Ability to quantify business impact and articulate ROI through executive-level storytelling and business cases. - Solid understanding of statistical and machine learning algorithms. - Strong SQL skills and hands-on experience with analytical tools such as R and Python, along with visualization tools like Qlik or Tableau. - Exposure to cloud platforms and big data systems such as Hadoop HDFS and Hive is a plus. - Ability to work closely with IT and Data Engineering teams to embed analytical outputs into business processes and operational workflows. - Graduate in Business Analytics, 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 have been recognized by leading market research firms, including Forrester and Gartner.

Role Description We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale. - Ontology & Taxonomy Design: Lead the creation, modeling, and evolution of enterprise-wide ontologies, taxonomies, and controlled vocabularies that accurately represent complex business domains. - Knowledge Graph Architecture: Design and implement scalable architecture, ingestion pipelines, and governance for enterprise Knowledge Graphs (Triple Stores or Property Graphs). - Semantic Layer Strategy: Build and maintain the enterprise semantic layer to abstract physical data complexities, providing a unified, machine-readable business view of data. - Data Product Augmentation: Partner with domain data teams to map, link, and augment decentralized Data Products using the central ontology to ensure semantic interoperability across the organization. - Inference & Reasoning: Implement semantic reasoning and inference rules to automatically generate new metadata and uncover hidden insights within the graph. - Governance & Standards: Establish best practices, version control mechanisms, and data contracts for semantic models, ensuring consistent graph schema updates across business units. - Semantic Standards: Expert-level mastery of core semantic technologies. - Knowledge Graph Engineering: Hands-on experience designing and operating production-grade Graph Databases / Triple Stores (e.g., GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j). - Ontology Modeling Tools: Proficiency with industry-standard ontology engineering and taxonomy management software (e.g., Protégé, TopBraid Composer, PoolParty). - Modern Data Frameworks: Clear, practical understanding of Data Mesh paradigms, specifically how to design a semantic layer that overlays federated, domain-driven Data Products. - Traditional Data Modeling: Strong baseline in classic data concepts, including relational databases, dimensional modeling, and ETL/ELT integration patterns. Qualifications - Hands-on experience to enforce data quality and constraint validation across graph structures. - Familiarity with graph algorithms, graph machine learning (GNNs), or leveraging Knowledge Graphs to enhance Large Language Model architectures via Graph RAG (Retrieval-Aug Generation). 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 have been recognized by various market research firms, including Forrester and Gartner.