Technology Partner - Consumer Packaged Goods (CPG)

Requirements

• Liaise with all levels of data leaders at our strategic clients to provide forward looking advisory and thought leadership
• Hold brown bags and educative forums to share thought leadership with our core clients
• Hold client platform, organization and practices reviews proactively and provide improvement recommendations, solutions and roadmaps
• Provide technology leadership to transformation agendas rooted in Data and Insights, addressing Technology, Organization and Processes
• Create detailed technology solutions for first of a kind and complex initiatives
• Pre-Sales and New business: Present Tiger capabilities to new prospects
• Create Solutions and Proposals for client requirements
• Data and Insights Practice Leadership: 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 and participate in helping evolve hiring practices, Liaison with offshore counterparts on solutions, training and overall capabilities development

Expertise and Skills Needed

• Experience with Solution Architecture development for large enterprises and transformation programs
• Strong experience with traditional and modern data platforms - nosql, mpp, columnar, big data and cloud data platforms
• Experience with Cloud Data platform services across AWS, Azure and 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
• Experience with industry leading data management platforms
• Experience with establishing Data governance, Data catalogs and deep understanding of all dimensions of data security
• Experience and expertise on MLOps processes, platforms and organizational implications
• Experience with ML Models and modeling lifecycle
• Experience with data warehousing, BI lifecycle and technologies
• Experience with DevOps techniques, Infra as Code, Deployment patterns, and is proficient with programming languages (like Python, Java, Scala, Rust, .Net, 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

Soft Skills and Traits

• Strong ownership, Agility in action and entrepreneurial spirit
• Collaborating with multiple stakeholders across clients and internal to Tiger Analytics
• Ability to work with abstract problem statements and guide through consultative and collaborative approach
• Review and provide best solutions on the existing or new architecture requirements
• Recommend strategies to improve resiliency, security, and optimize costs