Tech Partner

🕒 June 24

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🪙 Affiliate Manager

🦅 H1B Visa Sponsor

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Logo of Tiger Analytics

Tiger Analytics

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Act as a trusted advisor to C-suite and senior enterprise stakeholders, translating complex business goals into scalable Data & AI roadmaps. • Oversee technical strategy and execution across a portfolio of complex engagements. • Champion modern data stacks, Semantic technologies, and advanced AI/ML. • Drive pre-sales and strategic solutioning to win high-value engagements. • Scale and mentor a world-class engineering and data science team.

🎯 Requirements

• Progressive leadership spanning Enterprise Architecture, Data Engineering, and AI/ML initiatives. • Deep expertise in cloud data architecture, data modeling, semantic web, and production-grade AI systems. • Proven ability to command a room, manage senior stakeholder dynamics, and steer multi-million-dollar technology programs. • A blend of technical brilliance, commercial acumen, and an entrepreneurial mindset.

🏖️ Benefits

• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment. • High degree of individual responsibility. • Equal employment opportunities 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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