Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,200 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an AI Solutions Engineer to lead the modernization of enterprise reporting, drive migration to modern BI platforms, and embed agentic AI workflows into business intelligence solutions. This role combines deep BI expertise with hands-on experience in AI-driven automation, helping organizations transition from legacy reporting systems to intelligent, scalable analytics platforms.

Requirements

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.

We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.

Responsibilities:

• Document data lineage from Tier 1 consumption points through analytical data stores to systems of origin, capturing findings in the client's preferred tooling.
• Support the design, development, and deployment of ADS components, data pipelines, and data quality controls (DQ rules, variance analysis, anomaly detection, comprehensiveness checks) on GCP.
• Contribute to data modeling and target-state landscape design, support SME interviews, and work closely with engineering teams and business data office stakeholders day-to-day.
• Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
• Bridge business and technical requirements by translating insights from the business data office into actionable engineering tasks.

Requirements

Gritter Francona is looking for a Data Modeler to provide technical expertise in the design, development, implementation, and maintenance of enterprise data models supporting the Veterans Health Administration (VHA) Veterans Family Member Program (VFMP) Modernization Portfolio. This role is responsible for designing logical and physical data models that enable modernization initiatives, improve operational efficiency, and ensure the integrity, accessibility, and security of enterprise data.

The Data Modeler works closely with business stakeholders, architects, application developers, Electronic Data Interchange (EDI) specialists, and Integrated Project Teams (IPTs) to develop scalable data solutions that support VFMP's modernization objectives. The role ensures that data architecture supports high-volume business operations, system interoperability, and long-term maintainability while enabling accurate reporting, performance measurement, and informed decision-making.

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.

We are looking for a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls Program.

Responsibilities:

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. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Requirements

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.

We are seeking an experienced Lead - MDM to join a managed engagement, specifically focused on Master Data Management (MDM) initiatives. This role requires a Subject Matter Expert who possesses deep domain knowledge in the Medical Devices or Pharmaceutical industry and a proven track record of successfully navigating and delivering MDM projects.

RESPONSIBILITIES:

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 leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

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. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

Tiger Analytics is seeking an entrepreneurial technology executive to join as Tech Partner. This is a high-visibility, portfolio-level leadership role designed for a visionary who wants to co-author the Data & AI strategies for Fortune 500 enterprises, drive multi-million-dollar transformations, and shape a rapidly growing global practice.

Core Mandate

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.

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.

Responsibilities:

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

Our client is a high-volume decentralized finance (DeFi) protocol based on Arbitrum, facilitating leveraged trading of real-world assets—including commodities, forex, indices, and equities—alongside crypto with full self-custody.

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will focus on scaling data pipelines and building an advanced infrastructure layer that empowers engineering teams with self-service capabilities for deploying applications, requesting infrastructure, and managing monitoring systems.

Key Responsibilities