Job Description

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services 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 Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Requirements

Details:

• The individual in this role will be required to provide Thought Leadership and Client Engagement
• 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
• Help recruit key talent to fill key client technology roles
• 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
• 5+ years experience in consulting leadership roles.
• 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 delivering data engineering solutions for Pharmaceutical or life sciences clients
• 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
• Knowledge and experience with Knowledge graphs and related graph technologies

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.

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.

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