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Sr. Manager/ Associate Director - Engagement Lead (CPG/Retail)

posted by: spj_bot

About Tiger Analytics: Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing:

We are seeking an Engagement Lead to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will:

Job Skills

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Operation Research Scientist - Demand Planning/Forecasting

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a Operation Research Scientist to join our advanced analytics  and AI team supporting some of our large enterprise clients. In this role, you will

Key Responsibilities:

Job Skills

color datasets algorithm automation data data predictive modelling resource allocation object orient programming artificial intelligence adapt business cases business requirement CPLEX communication upskilling inventory management data platforms landscape apply mathematic supply chain optimization sql computer science emerge technology cloud native continuous improvement operation research latin term life insurance translate analytical business transformation invests key performance indicator data engineering libraries unlock career development statistical method data analysis python algorithms life insurance collaborate best practices analytics collaboration innovation pyspark supply chain cross functional teams supply chain management adoption data science predictive models consulting accounts gurobi disability machine learning business partner scale statistical mathematical programming programming languages retirement accounts execute
View the job post & apply

Operation Research Scientist - Demand Planning/Forecasting

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a Operation Research Scientist to join our advanced analytics  and AI team supporting some of our large enterprise clients. In this role, you will

Key Responsibilities:

Job Skills

color datasets algorithm automation data data predictive modelling object orient programming artificial intelligence adapt business cases data platforms business requirement CPLEX communication upskilling invests landscape apply mathematic supply chain optimization sql computer science emerge technology cloud native operation research latin term life insurance translate analytical business transformation data engineering libraries unlock career development statistical method data analysis algorithms python life insurance collaborate best practices analytics collaboration innovation pyspark supply chain cross functional teams supply chain management adoption data science predictive models consulting accounts gurobi disability machine learning business partner scale statistical mathematical programming programming languages retirement accounts
View the job post & apply

Manager - BI Consulting (Power BI)

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organisations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are looking for a Manager, Business Intelligence to deliver innovation and tools to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.

Responsibility:

Job Skills

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Client Partner - Technology Retail/CPG

posted by: spj_bot

About Tiger Analytics

Tiger Analytics is one of the fastest-growing AI services firms, helping Fortune 500 organizations solve complex business problems and create measurable value through AI, Data Science, Advanced Analytics, Generative AI, and cloud-native data platforms.

With a strong presence across North America, Latin America, Europe, and Asia, we partner with leading organizations across industries to deliver impactful technology and analytics solutions — from strategy and proof-of-concepts to large-scale AI and data transformation programs.

About the Role

We are looking for an experienced Client Partner – Retail & CPG to lead strategic client relationships, drive account growth, and oversee the delivery of high-impact AI, Data, Analytics, Generative AI, and cloud-native transformation programs.

The ideal candidate will bring strong experience in Retail and Consumer Packaged Goods (CPG), along with the ability to engage senior executives, identify business opportunities, shape innovative solutions, and build long-term strategic partnerships.

This is an opportunity to work with senior business and technology leaders and help organizations move beyond traditional analytics toward AI-led business transformation.

Key Responsibilities

Job Skills

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Technology Partner - Databricks

posted by: spj_bot

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.

The Technology Partner is a multi-faceted leadership role within Tiger’s core Data & Insights Solutions practice. This individual will bring both breadth and depth of technology expertise, with a demonstrated track record of delivering large-scale transformations, leading innovation-driven practices, and consulting with and managing executive stakeholders across IT and business functions.

Key Responsibilities

Thought Leadership and Client Engagement

Job Skills

color professional certified engineer leadership advisory databricks managing data scalable integration analytics talent real time streaming big datum distribute computing apache spark cloud service azure datum lake sql data pipeline governance cloud native nosql data services consultants experience design data engineering azure data technology solution azure databrick career development event driven integrating delivery quality engineering data data processing batch processing analytics workflows innovation certified data analyst machine learn data warehouses solution architecture governing data data science reference architecture google cloud market research consulting pre sales capability development disability machine learning think leadership ETL solution design certified professional scale recommendations solution data architecture operating transformation business development manage track
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Forward Deployed AI Engineer -Neo4j / Knowledge Graph

posted by: spj_bot

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

Requirements

Job Skills

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Microsoft DevOps Engineer

posted by: spj_bot

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Job Skills

data models modern microsoft automate infrastructure cloud engineering VPN microsoft certified endpoint management architecture diagrams dashboards governance experience design azure data controls secure python reliable docker operations rest apis microsoft intune business system cloud platform problem solving networking storage data governance resilient ERP root cause analysis microsoft sql server enterprise environments manage diagrams auditing networking compute disaster recovery microsoft designs delivery pipeline operational datum dictionary microservices RBAC storage arm arm vulnerability management stakeholder management kubernetes database design automated azure kubernete service virtual machine scripting azure devops devops incident management yaml power bi indexing database administration engineer designs terraform configuration management reliability automation models entity relationship cloud operation data integration management control agile integration azure azure cloud native data integrity landing zones corrective actions technical solutions collaboration investigate technical documentation change control application deployment git scrum accountable itil foundation certification powershell azure sql database structures planning cloud infrastructure resilience infrastructure security compliance requirement operate microsoft platforms design review azure policy vulnerability management devsecops troubleshooting continuous improvement translate tooling analytical positive templates data lake analytics personal attributes coding application insights infrastructure as code azure monitor agile change operational efficiency infrastructure microsoft azure continuous integration bash workflow factory azure azure services engineer relational database workflow automation audits
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DevSecOps Engineer- Latin America- Remote

posted by: spj_bot

Azumo is looking for a highly technical and hands-on DevSecOps Engineer / Security Solutions Lead to own and strengthen the security posture of our platform, infrastructure, and AI-driven systems.

This is a proactive, operationally-focused role—not just policy work. You will actively secure systems, remediate vulnerabilities, and collaborate across engineering and compliance to ensure continuous resilience. Working in a remote-first, high-trust engineering culture, you will join us as we scale rapidly following our Series A funding to power the future of modern financial infrastructure.

Location: Remote Latin America

In this role, you will secure and improve the systems that power our FinTech ecosystem while also serving as a key representative of our security program during customer and partner due diligence processes.

Key Responsibilities

Security Engineering & System Hardening

● Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows. · Implement and maintain security controls across production environments, CI/CD pipelines, cloud infrastructure, and internal tooling.

● Work directly with engineering teams to remediate vulnerabilities and improve secure development practices.

Job Skills

layers dss professional endpoint security risk assessments threat modeling communication security regulation audit preparation security engineering systems build collaborate application security best practices communication skills banking operations evidence collection root cause analysis integrate coordinate harden decision make scalable mitigation due diligence suspicious activity powered systems secure systems operational security documentation career development open source accountability communicate security vulnerability management anomaly detection automated offensive security financial institution validate human interactions development company technical controls security program incident response leadership reliability automation risk management web systems system health access control cloud security cloud native banks workflows collaboration security requirements machine learn investigate development services innovative software development vulnerabilities logging maternity planning cloud infrastructure self starter resilience infrastructure security data security validation penetration testing PCI distributed systems operational system devsecops safely vulnerability scanning engineer security San cross functional collaboration latin tooling security control remuneration SIEM systems handling long term solving complex problems operationalize philanthropy leadership teams audit control validation hardening infrastructure as code scalability security architecture infrastructure encryption scale architecture controls prioritize production system
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Senior Data Engineer

posted by: spj_bot

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 multiple Fortune 500 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 global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.

You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.

Key Responsibilities:

Job Skills

color leadership enterprise applications data warehouse reliability management credentials agile operate data scalable data engineer GCP design build distribute computing solving complex communication management sql data pipeline cloud native data quality consultants low latency data system scheduling airflow engineering problems problem solve data engineering event driven career development data ingestion python data processing develop applications reliable control m analytics collaboration credential management data science market research EMR cloud platform consulting scalability real time product teams disability service authentication machine learning design solutions enterprise architecture manage workflow scale workflow java real time datum operating transformation engineering architecture
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