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Tiger Analytics

Delivers Data and AI transformation

Technology Partner - Consumer Products Goods

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience developing solution architectures for large enterprises and transformation programs.
  • Strong experience with traditional and modern data platforms, including NoSQL, MPP, columnar, big data, and cloud data platforms; experience with cloud data platform services across AWS, Azure, or GCP.
  • Experience with data processing tools and frameworks, including batch ETL, real-time streaming, and IoT architectures.
  • Experience with big data, data fabric, and data mesh architectures.
  • Experience with federated and centralized data management practices and technologies, including data governance, and industry-leading data management platforms.
  • Experience establishing data governance and data catalogs, and deep understanding of data security.
  • Experience and expertise with MLOps processes, platforms, and organizational implications.
  • Experience with machine learning models and modeling lifecycle.
  • Experience with data warehousing, BI lifecycle, and technologies.
  • Experience with DevOps techniques, infrastructure as code, deployment patterns, and programming languages such as Python, Java, Scala, Rust, .NET, and scripting.
  • Knowledge and experience with knowledge graphs and related graph technologies.
  • Experience with digital customer data platforms, martech platforms, clickstream data processing, and digital analytics platforms.
  • Ability to collaborate with stakeholders across clients and internally.
  • Ability to work with abstract problem statements and guide through a consultative, collaborative approach.
  • Ability to review architecture requirements and recommend suitable solutions.
  • Bachelor's degree in Computer Science or relevant experience in Information Systems.
  • 10+ years of relevant experience building solution architecture and technology platforms.
  • 5+ years of experience in consulting leadership roles.
  • Experience working in large enterprise data applications.
  • Ability to operate as a senior leader in an individual capacity and connect with senior stakeholders.
  • Extensive Consumer Products Goods experience.

Responsibilities

  • Provide thought leadership and engage with clients.
  • Advise data leaders at strategic clients with forward-looking perspectives and thought leadership.
  • Hold brown bags and educational forums to share thought leadership with core clients.
  • Proactively review client platforms, organizations, and practices, and provide improvement recommendations, solutions, and roadmaps.
  • Provide technology leadership to data and insights transformation agendas, addressing technology, organization, and processes.
  • Help recruit key talent to fill client technology roles.
  • Create detailed technology solutions for first-of-a-kind and complex initiatives.
  • Present company capabilities to new prospects.
  • Create solutions and proposals for client requirements.
  • Mentor engineering talent at different levels.
  • Manage architect resources.
  • Create thought leadership content for go-to-market offerings, including reference architectures, methods, and practices.
  • Interview candidates and participate in evolving hiring practices.
  • Liaise with offshore counterparts on solutions, training, and capability development.
  • Recommend strategies to improve resiliency and security, and optimize costs.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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