Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firms. 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, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights-driven. 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 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 transformations, leading innovation-driven practices, consulting to, and managing executive stakeholders across IT and Business.
Responsibilities:
- 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.
- Conduct 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.
- Engage in Pre-Sales and New business activities.
- Present Tiger capabilities to new prospects.
- Create Solutions and Proposals for client requirements.
- Lead 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.
- Liaise 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, including 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 establishing Data governance, Data catalogs, and a deep understanding of all dimensions of data security.
- Experience and expertise in 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.
- 5+ years' experience in consulting leadership roles.
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.
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